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G-PD Breakdown: MLB DFS Main Slate 5-17-2023

Scoring Percentages and Stacking

SEA

  • SEA, with an average score of 6.88 and 36.20% of games with 8+ runs, leads the dataset in terms of run-scoring prowess.
  • DK Team Own% is 15.23 and DK LevX is 25.00%, suggesting a fair amount of interest in SEA from DraftKings participants.
  • FD Team Own% stands at 9.21, with an FD LevX of 25.00% indicating strong interest on FanDuel as well.
  • They are up against Bryce Elder as their Opp SP.

STL

  • STL holds the second spot, with an average score of 6.50 and 35.80% of games with 8+ runs.
  • With a DK Team Own% of 17.68 and a DK LevX of 23.00%, there is significant DraftKings interest.
  • On FanDuel, their team ownership percentage is 19.78, and their LevX is 23.00%.
  • STL will be facing Tony Gonsolin as their Opp SP.

NYM

  • NYM is third, with an average score of 6.58 and 35.60% of games with 8+ runs.
  • DK Team Own% for NYM is 36.6 and their DK LevX is 12.00%, which is relatively lower.
  • FD Team Own% and FD LevX are 31.81% and 16.50% respectively, showing moderate FanDuel interest.
  • They are matched against Cal Quantrill as their Opp SP.

LAD

  • LAD has an average score of 6.57 and 35.40% of games with 8+ runs, landing them in the fourth spot.
  • Their DK Team Own% is 61.59 and the DK LevX is -1.00%, a rare negative score.
  • On FanDuel, their Team Own% is high at 50.03, but they also have a low LevX of 3.50%.
  • Steven Matz will be their opposing starting pitcher.

KC

  • KC comes in fifth, with an average score of 6.36 and 32.80% of games with 8+ runs.
  • DK Team Own% is 68.55 and DK LevX is a disappointing -5.50%.
  • FD Team Own% stands at 64.92, but the FD LevX is even more disappointing at -7.50%.
  • KC is going up against Michael Kopech as their Opp SP.

These five teams — SEA, STL, NYM, LAD, and KC — are compelling picks for DFS stacks due to their high scoring averages and significant percentages of games with 8+ runs. These factors provide a solid baseline for expecting substantial DFS scores, with the frequency of high-scoring games leading to higher potential returns. Their respective Own% figures on DraftKings and FanDuel highlight their popularity amongst participants, which can be used to predict future trends. However, the negative LevX scores for LAD and KC need attention. These suggest a higher percentage of ownership relative to their probability of success — hence, while they have high potential, they also carry more risk than the numbers might suggest at first glance.

DK Pitcher Options

James Paxton

  • Team: BOS
  • Salary: 8300
  • Top_finish percentage: 21.20%
  • Top_5_finish percentage: 63.40%
  • Large Field Own%: 4.05%
    • Difference to the average Large Field Own%: -10.75%
  • Small Field Own%: 4.05%
    • Difference to the average Small Field Own%: -10.75%

Joe Ryan

  • Team: MIN
  • Salary: 10300
  • Top_finish percentage: 21.10%
  • Top_5_finish percentage: 60.80%
  • Large Field Own%: 26.17%
    • Difference to the average Large Field Own%: +11.37%
  • Small Field Own%: 44.00%
    • Difference to the average Small Field Own%: +29.20%

Sandy Alcantara

  • Team: MIA
  • Salary: 9800
  • Top_finish percentage: 19.70%
  • Top_5_finish percentage: 58.80%
  • Large Field Own%: 31.59%
    • Difference to the average Large Field Own%: +16.79%
  • Small Field Own%: 54.85%
    • Difference to the average Small Field Own%: +40.05%

Reid Detmers

  • Team: LAA
  • Salary: 7900
  • Top_finish percentage: 17.90%
  • Top_5_finish percentage: 57.30%
  • Large Field Own%: 8.74%
    • Difference to the average Large Field Own%: -6.06%
  • Small Field Own%: 9.14%
    • Difference to the average Small Field Own%: -5.66%

Bryce Miller

  • Team: SEA
  • Salary: 9400
  • Top_finish percentage: 11.40%
  • Top_5_finish percentage: 51.70%
  • Large Field Own%: 5.37%
    • Difference to the average Large Field Own%: -9.43%
  • Small Field Own%: 5.37%
    • Difference to the average Small Field Own%: -9.43%

Each of these players stands out for their high median scores, indicative of consistently strong performances. They each have significant top finish and top 5 finish percentages, suggesting they often outperform their peers.

James Paxton and Bryce Miller have lower than average ownership percentages, which may imply that they are under-valued assets in large and small fields alike. This, in turn, could mean greater potential return on investment when they perform well.

Joe Ryan and Sandy Alcantara have higher ownership percentages in both large and small fields, suggesting they are well-recognized for their skill and performance. They may be a safer bet for consistent performance.

Reid Detmers, meanwhile, offers an interesting balance with top finish and top 5 finish percentages on par with the others but with lower ownership percentages. This makes him a potential dark horse to consider for greater return on investment.

The only notable outlier in these top performers is Bryce Miller, whose top finish percentage is significantly lower than the other four. However, his top 5 finish percentage remains high, indicating that while he may not often be the best, he is consistently among the best.

FD Pitcher Options

Joe Ryan

  • Team: Minnesota Twins
  • Salary: 11000
  • Top Finish: 27.3%
  • Top 5 Finish: 76.1%
  • Large Field Own%: 4.79% which is 2.72% lower than the average Large Field Own% of the dataset
  • Small Field Own%: 5.42% which is 3.43% higher than the average Small Field Own% of the dataset

Reid Detmers

  • Team: Los Angeles Angels
  • Salary: 8100
  • Top Finish: 23.5%
  • Top 5 Finish: 72.7%
  • Large Field Own%: 2.39% which is 5.12% lower than the average Large Field Own% of the dataset
  • Small Field Own%: 2.39% which is -0.6% lower than the average Small Field Own% of the dataset

Bryce Miller

  • Team: Seattle Mariners
  • Salary: 9900
  • Top Finish: 12.8%
  • Top 5 Finish: 62.3%
  • Large Field Own%: 2.39% which is 5.12% lower than the average Large Field Own% of the dataset
  • Small Field Own%: 2.39% which is -0.6% lower than the average Small Field Own% of the dataset

Sandy Alcantara

  • Team: Miami Marlins
  • Salary: 10400
  • Top Finish: 13.8%
  • Top 5 Finish: 60.4%
  • Large Field Own%: 14.85% which is 7.34% higher than the average Large Field Own% of the dataset
  • Small Field Own%: 25.53% which is 24.54% higher than the average Small Field Own% of the dataset

Jake Irvin

  • Team: Washington Nationals
  • Salary: 8200
  • Top Finish: 11.5%
  • Top 5 Finish: 59.6%
  • Large Field Own%: 0.69% which is 6.82% lower than the average Large Field Own% of the dataset
  • Small Field Own%: 0.69% which is 2.3% lower than the average Small Field Own% of the dataset

The top 5 players with the highest Median scores, which indicate their median tournament expectations, are good bets to perform well. Notably, Joe Ryan, Reid Detmers, and Bryce Miller, who consistently finish in the top and top 5 categories, are great picks. Their top finish percentages are significantly high, and their top 5 finish percentages exceed 60%.

However, Jake Irvin has a significantly low Large and Small Field Own%, far below the dataset average, suggesting he may be an underappreciated player. This could present an opportunity for savvy bettors to capitalize on his performance while other players overlook him.

Sandy Alcantara stands out as he has a high Large Field Own% and Small Field Own%, indicating that he is a popular choice among players. This could be due to his relatively high top finish and top 5 finish percentages, which indicate a high probability of performing well in the tournament.

Overall, these five players' high median scores and finish percentages make them strong choices for high-performing players in tournaments. However, their ownership percentages should be taken into account when considering risk and reward.

True AVG breakdown

The top 5 players with the lowest (Best) Weighted True AVG scores are:

Reid Detmers (LAA)

  • Significant difference exists between True AVG (LHH) and True AVG (RHH). The True AVG (LHH) is 0.259, while the True AVG (RHH) is considerably lower at 0.185. This suggests Detmers performs better against right-handed hitters.
  • His Weighted True AVG score is 0.193, which is below the overall average of this dataset, indicating better performance.
  • He will face 1 Opp LHH and 8 Opp RHH in the upcoming game.

James Paxton (BOS)

  • Paxton also shows a difference between his True AVG (LHH) and True AVG (RHH). His True AVG (LHH) is 0.263 while his True AVG (RHH) is significantly lower at 0.176, showcasing better performance against right-handed hitters.
  • His Weighted True AVG score is 0.205, which is below the overall average, suggesting superior performance.
  • He is set to face 3 Opp LHH and 6 Opp RHH.

Jake Irvin (WAS)

  • Irvin's True AVG (LHH) is 0.251, while his True AVG (RHH) is 0.183, signifying a marked difference and implying a better matchup with right-handed hitters.
  • His Weighted True AVG score is 0.213, again below the overall average, indicating better performance.
  • He will confront 4 Opp LHH and 5 Opp RHH.

Joe Ryan (MIN)

  • Ryan has a slight difference between his True AVG (LHH) and True AVG (RHH). His True AVG (LHH) is 0.243 and his True AVG (RHH) is 0.206, showing a bit more strength against right-handed hitters.
  • His Weighted True AVG score of 0.214 is under the overall average, denoting above-average performance.
  • Ryan will be facing 2 Opp LHH and 7 Opp RHH.

Bryce Miller (SEA)

  • Miller's True AVG (LHH) is 0.219 while his True AVG (RHH) is slightly higher at 0.220, showing no significant difference and suggesting comparable performance against left-handed and right-handed hitters.
  • His Weighted True AVG score is 0.219, which is below the overall average, indicating better performance.
  • He is set to face an equal number of Opp LHH and Opp RHH, with 4 of each.

The Weighted True AVG scores for these players suggest that they perform better than average. In particular, the significant differences between their True AVG (LHH) and True AVG (RHH) highlight their strengths against right-handed hitters, with the exception of Bryce Miller, who demonstrates comparable performance against both types of hitters. The number of Opp LHH and Opp RHH these players will be facing further underline their favourable matchups. This means they are solid picks for the upcoming games, as these statistics suggest they are more likely to maintain a lower batting average allowed.

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G-PD Breakdown: MLB DFS Main Slate 5-17-2023

Scoring Percentages and Stacking

ARI

  • The Arizona Diamondbacks (ARI) have a DK Team Own% of 62.69 and a DK LevX of 25.00%.
  • For FanDuel (FD), the ARI's Team Own% is 94.95 and the LevX is 19.50%.

PHI

  • The Philadelphia Phillies (PHI) have a DK Team Own% of 68.81 and a DK LevX of 19.50%.
  • For FanDuel (FD), the PHI's Team Own% is 76.25 and the LevX is 25.00%.

CIN

  • The Cincinnati Reds (CIN) have a DK Team Own% of 149.27 and a DK LevX of -8.50%.
  • For FanDuel (FD), the CIN's Team Own% is 137.59 and the LevX is -14.00%.

OAK

  • The Oakland Athletics (OAK) have a DK Team Own% of 72.57 and a DK LevX of 3.00%.
  • For FanDuel (FD), the OAK's Team Own% is 80.77 and the LevX is 8.50%.

COL

  • The Colorado Rockies (COL) have a DK Team Own% of 95.84 and a DK LevX of -14.00%.
  • For FanDuel (FD), the COL's Team Own% is 113.19 and the LevX is -14.00%.

These teams are good to stack in Daily Fantasy Sports (DFS) due to their high percentage of games with 8+ runs scored, indicating consistent high offensive production. Furthermore, a high DK and FD Team Own% suggest these teams are frequently chosen by DFS players, highlighting their perceived value. However, it's important to note that the Cincinnati Reds (CIN) and the Colorado Rockies (COL) have negative LevX scores on both platforms, suggesting they may not always provide value relative to their ownership levels. The LevX score is a measure of leverage, and a negative score may indicate that a team is over-owned relative to its chances of success, which can limit upside in tournaments.

DK Pitcher Options

Sonny Gray

  • Sonny Gray is a starting pitcher (SP) for the Minnesota Twins (MIN) with a salary of $10,800.
  • His top finish percentage is 28.20% while his top 5 finish percentage is 62.30%.
  • Gray's Large Field Own% is 11.33, which is exactly the same as the average Large Field Own% in this dataset.
  • His Small Field Own% is also 11.33, identical to the average Small Field Own%.

Yu Darvish

  • Yu Darvish is a starting pitcher (SP) for the San Diego Padres (SD) with a salary of $10,200.
  • His top finish percentage is 27.70% and his top 5 finish percentage is 61.40%.
  • Darvish's Large Field Own% is 75.00, considerably higher than the average Large Field Own%.
  • His Small Field Own% is also 75.00, significantly above the average Small Field Own%.

Taijuan Walker

  • Taijuan Walker is a starting pitcher (SP) for the Philadelphia Phillies (PHI) with a salary of $7,500.
  • His top finish percentage is 0.50% while his top 5 finish percentage is 5.20%.
  • Walker's Large Field Own% is 26.56, lower than the average Large Field Own%.
  • His Small Field Own% is 33.24, higher than the average Small Field Own%.

Ryne Nelson

  • Ryne Nelson is a starting pitcher (SP) for the Arizona Diamondbacks (ARI) with a salary of $6,800.
  • His top finish percentage is 0.00% and his top 5 finish percentage is 1.00%.
  • Nelson's Large Field Own% is 27.05, lower than the average Large Field Own%.
  • His Small Field Own% is 34.22, higher than the average Small Field Own%.

Jackson Kowar

  • Jackson Kowar is a starting pitcher (SP) for the Kansas City Royals (KC) with a salary of $7,100.
  • His top finish percentage is 0.00% while his top 5 finish percentage is 0.20%.
  • Kowar's Large Field Own% is 3.57, much lower than the average Large Field Own%.
  • His Small Field Own% is also 3.57, significantly lower than the average Small Field Own%.

The players listed above are good bets to perform well based on their median scores, which indicate consistent performance. High percentages of top finishes and top 5 finishes suggest they frequently excel in their performances. However, one should pay attention to the ownership percentages. Players like Yu Darvish, who have high ownership percentages, may be popular picks but could lack value if they underperform. Conversely, players like Jackson Kowar, with lower ownership percentages, could provide more value if they outperform expectations. The differences in the Large Field Own% and Small Field Own% compared to their averages in the dataset can indicate how these players are valued in different game formats.

FD Pitcher Options

Yu Darvish

  • Yu Darvish is a pitcher (P) for the San Diego Padres (SD) with a salary of $10,400.
  • His top finish percentage is 44.10% while his top 5 finish percentage is 87.00%.
  • Darvish's Large Field Own% is 61.43, which is higher than the average Large Field Own% in this dataset.
  • His Small Field Own% is 75.00, which is also higher than the average Small Field Own%.

Sonny Gray

  • Sonny Gray is a pitcher (P) for the Minnesota Twins (MIN) with a salary of $10,200.
  • His top finish percentage is 41.10% and his top 5 finish percentage is 84.30%.
  • Gray's Large Field Own% is 5.07, significantly lower than the average Large Field Own%.
  • His Small Field Own% is also 5.07, much lower than the average Small Field Own%.

Taijuan Walker

  • Taijuan Walker is a pitcher (P) for the Philadelphia Phillies (PHI) with a salary of $8,000.
  • His top finish percentage is 6.10% while his top 5 finish percentage is 51.20%.
  • Walker's Large Field Own% is 11.73, which is lower than the average Large Field Own%.
  • His Small Field Own% is 12.45, which is also lower than the average Small Field Own%.

Ryne Nelson

  • Ryne Nelson is a pitcher (P) for the Arizona Diamondbacks (ARI) with a salary of $6,800.
  • His top finish percentage is 1.80% and his top 5 finish percentage is 32.90%.
  • Nelson's Large Field Own% is 12.64, which is slightly lower than the average Large Field Own%.
  • His Small Field Own% is 14.27, which is also slightly lower than the average Small Field Own%.

Ross Stripling

  • Ross Stripling is a pitcher (P) for the San Francisco Giants (SF) with a salary of $5,700.
  • His top finish percentage is 1.00% while his top 5 finish percentage is 25.90%.
  • Stripling's Large Field Own% is 1.91, significantly lower than the average Large Field Own%.
  • His Small Field Own% is also 1.91, much lower than the average Small Field Own%.

The players listed above are good bets to perform well based on their median scores, which indicate consistent performance. High percentages of top finishes and top 5 finishes suggest they frequently excel in their performances. However, one should pay attention to the ownership percentages. Players like Yu Darvish, who have high ownership percentages, may be popular picks but could lack value if they underperform. Conversely, players like Ross Stripling, with lower ownership percentages, could provide more value if they outperform expectations. The differences in the Large Field Own% and Small Field Own% compared to their averages in the dataset can indicate how these players are valued in different game formats. The outliers in this dataset are those with unusually high or low ownership percentages, like Yu Darvish and Ross Stripling respectively.

True AVG breakdown

The top 5 players with the lowest (Best) Weighted True AVG scores are:

Sonny Gray

  • Sonny Gray is a right-handed pitcher (RHP) for the Minnesota Twins (MIN).
  • His True AVG against left-handed hitters (LHH) is 0.259, while against right-handed hitters (RHH), it's significantly lower at 0.171.
  • Gray's Weighted True AVG score is 0.210, which is below average, indicating a strong performance.
  • He will be facing 4 Opp LHH and 5 Opp RHH in his next match.

Carlos Hernandez

  • Carlos Hernandez is a right-handed pitcher (RHP) for the Kansas City Royals (KC).
  • His True AVG against LHH is 0.208, slightly better than against RHH, which is 0.243.
  • Hernandez's Weighted True AVG score is 0.224, also below average, indicating a good performance.
  • He will be facing 5 Opp LHH and 4 Opp RHH in his next match.

Yu Darvish

  • Yu Darvish is a right-handed pitcher (RHP) for the San Diego Padres (SD).
  • His True AVG against LHH is 0.207, significantly better than against RHH, which is 0.305.
  • Darvish's Weighted True AVG score is 0.251, slightly above average, but still indicating a strong performance.
  • He will be facing 5 Opp LHH and 4 Opp RHH in his next match.

Jackson Kowar

  • Jackson Kowar is a right-handed pitcher (RHP) for the Kansas City Royals (KC).
  • His True AVG against LHH is 0.267, slightly better than against RHH, which is 0.258.
  • Kowar's Weighted True AVG score is 0.263, slightly above average, but still a good performance.
  • He will be facing 5 Opp LHH and 4 Opp RHH in his next match.

Dustin May

  • Dustin May is a right-handed pitcher (RHP) for the Los Angeles Dodgers (LAD).
  • His True AVG against LHH is 0.263, slightly worse than against RHH, which is 0.274.
  • May's Weighted True AVG score is 0.268, slightly above average, but still a decent performance.
  • He will be facing 5 Opp LHH and 4 Opp RHH in his next match.

The players listed above are good bets to perform well based on their Weighted True AVG scores. These scores provide a more accurate representation of their performances, factoring in their individual match-ups against left and right-handed hitters. A lower Weighted True AVG score signifies a better performance in limiting the batting average of their opponents, which is the ultimate goal for a pitcher. Players like Sonny Gray and Carlos Hernandez, who have lower Weighted True AVG scores, are particularly likely to perform well. However, it's also important to consider the number and type of hitters they will be facing in their next match. For instance, Yu Darvish performs significantly better against LHH, so a game with more LHH would be more advantageous for him.

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G-PD Breakdown: MLB DFS Main Slate 5-16-2023

Scoring Percentages and Stacking

STL

  • Avg Score: 6.72
  • 8+ runs: 37.80%
  • Opp SP: Wade Miley
  • DK Team Own%: 32.33
  • DK LevX: 18.50%
  • FD Team Own%: 24.64
  • FD LevX: 18.50%

CWS

  • Avg Score: 6.69
  • 8+ runs: 37.60%
  • Opp SP: Shane Bieber
  • DK Team Own%: 15.18
  • DK LevX: 23.00%
  • FD Team Own%: 17.6
  • FD LevX: 25.00%

ARI

  • Avg Score: 6.58
  • 8+ runs: 36.20%
  • Opp SP: Kyle Muller
  • DK Team Own%: 72.7
  • DK LevX: -1.00%
  • FD Team Own%: 43.28
  • FD LevX: 3.50%

TEX

  • Avg Score: 6.11
  • 8+ runs: 32.80%
  • Opp SP: Jared Shuster
  • DK Team Own%: 10.92
  • DK LevX: 25.00%
  • FD Team Own%: 17.06
  • FD LevX: 23.00%

OAK

  • Avg Score: 6.18
  • 8+ runs: 32.40%
  • Opp SP: Tommy Henry
  • DK Team Own%: 31.07
  • DK LevX: 5.50%
  • FD Team Own%: 22.55
  • FD LevX: 16.50%

Based on these statistics, these teams are strong contenders to stack in DFS due to their high 8+ runs percentages, indicating that they consistently score high. This scoring trend coupled with their solid average scores demonstrates a high offensive prowess. Notably, the STL and CWS teams stand out with high ownership percentages on both DK and FD platforms, suggesting that they are popular choices among users. TEX, despite having a low DK Team Own%, boasts high LevX scores on both platforms, indicating a valuable bet due to its low popularity but high potential. ARI, though having a negative LevX on the DK platform, shows a good LevX score on FD, suggesting it might be a more favorable choice there. OAK presents a balanced profile with modest LevX scores and a solid scoring record, making it a reliable stacking option.

However, one should be cautious when considering teams with negative LevX scores, such as ARI on the DK platform, as this suggests the team might not perform as well as expected given their popularity.

DK Pitcher Options

Kevin Gausman

  • Team: TOR
  • Salary: 10700
  • Top_finish: 34.70%
  • Top_5_finish: 70.00%
  • Large Field Own%: 17.10%, Difference from average: -6.27%
  • Small Field Own%: 25.91%, Difference from average: +2.54%

Luis Castillo

  • Team: SEA
  • Salary: 10000
  • Top_finish: 18.40%
  • Top_5_finish: 59.00%
  • Large Field Own%: 1.74%, Difference from average: -21.63%
  • Small Field Own%: 1.74%, Difference from average: -21.63%

Seth Lugo

  • Team: SD
  • Salary: 8000
  • Top_finish: 15.50%
  • Top_5_finish: 54.80%
  • Large Field Own%: 10.87%, Difference from average: -12.5%
  • Small Field Own%: 13.44%, Difference from average: -10.04%

Lance Lynn

  • Team: CWS
  • Salary: 7100
  • Top_finish: 12.20%
  • Top_5_finish: 46.40%
  • Large Field Own%: 2.58%, Difference from average: -20.79%
  • Small Field Own%: 2.58%, Difference from average: -20.79%

Cristian Javier

  • Team: HOU
  • Salary: 9600
  • Top_finish: 5.80%
  • Top_5_finish: 36.40%
  • Large Field Own%: 48.47%, Difference from average: +25.10%
  • Small Field Own%: 75.00%, Difference from average: +51.63%

Based on the statistics provided, Kevin Gausman, Luis Castillo, Seth Lugo, Lance Lynn, and Cristian Javier are good bets to perform well. Their median scores are among the highest, indicating consistent performances. Their top finishes are also impressive, with Gausman having the highest at 34.70%, indicating he often ends up in the top tier of players.

The ownership percentages in large fields are varied. Gausman and Javier have above-average percentages, suggesting they are popular picks among large groups of players. On the other hand, Castillo, Lugo, and Lynn have significantly lower percentages, indicating they might be undervalued or overlooked, potentially offering a competitive edge in large tournaments.

In small fields, Gausman and Javier once again stand out with high ownership percentages, indicating they are favored among more selective players. Castillo, Lugo, and Lynn have low percentages, suggesting they might be strategic picks in smaller, more competitive fields.

The outlier here is Cristian Javier, who has the highest Small Field Own% at 75.00% and a Large Field Own% of 48.47%, significantly above average. Despite his lower top finish and top 5 finish percentages compared to the others, he seems to be a popular choice among both large and small field players. His high ownership rates suggest a strong confidence in his abilities among the player base.

FD Pitcher Options

Kevin Gausman

  • Team: Toronto Blue Jays
  • Salary: $11,000
  • Top finish percentage: 31.70%
  • Top 5 finish percentage: 78.60%
  • Large Field Own%: 6.08%; this is -1.03% compared to the average Large Field Own% of the dataset.
  • Small Field Own%: 7.86%; this is +1.21% compared to the average Small Field Own% of the dataset.

Luis Castillo

  • Team: Seattle Mariners
  • Salary: $10,200
  • Top finish percentage: 22.20%
  • Top 5 finish percentage: 70.00%
  • Large Field Own%: 1.37%; this is -5.74% compared to the average Large Field Own% of the dataset.
  • Small Field Own%: 1.37%; this is -4.28% compared to the average Small Field Own% of the dataset.

Seth Lugo

  • Team: San Diego Padres
  • Salary: $9,000
  • Top finish percentage: 18.20%
  • Top 5 finish percentage: 68.00%
  • Large Field Own%: 4.33%; this is -2.78% compared to the average Large Field Own% of the dataset.
  • Small Field Own%: 4.36%; this is -1.29% compared to the average Small Field Own% of the dataset.

Lance Lynn

  • Team: Chicago White Sox
  • Salary: $7,500
  • Top finish percentage: 16.00%
  • Top 5 finish percentage: 60.60%
  • Large Field Own%: 0.58%; this is -6.53% compared to the average Large Field Own% of the dataset.
  • Small Field Own%: 0.58%; this is -5.07% compared to the average Small Field Own% of the dataset.

Cristian Javier

  • Team: Houston Astros
  • Salary: $10,000
  • Top finish percentage: 3.90%
  • Top 5 finish percentage: 38.50%
  • Large Field Own%: 23.88%; this is +16.77% compared to the average Large Field Own% of the dataset.
  • Small Field Own%: 43.47%; this is +36.82% compared to the average Small Field Own% of the dataset.

These players are good bets to perform well due to their high Median scores, indicating their consistent ability to meet or exceed tournament expectations. Additionally, their high top and top 5 finish percentages signify that they frequently rank among the top performers, adding to their potential value. Cristian Javier is a notable outlier, with a Small Field Own% and Large Field Own% significantly higher than the dataset averages, indicating that he is a popular choice among both types of fields, despite a lower top finish percentage compared to the other top performers.

True AVG breakdown

The top 5 players with the lowest (Best) Weighted True AVG scores are:

Kevin Gausman (Toronto Blue Jays)

  • Kevin Gausman has a significant difference in his True AVG between Left-Handed Hitters (LHH) and Right-Handed Hitters (RHH) with 0.168 and 0.212 respectively. This suggests he performs better against LHH.
  • His Weighted True AVG score is 0.202, which is quite low, suggesting better performance.
  • He will be facing 2 LHH and 7 RHH from the opposing team, which might be beneficial considering his lower True AVG for LHH.

Luis Castillo (Seattle Mariners)

  • Luis Castillo also shows a notable difference in True AVG for LHH and RHH with 0.191 and 0.242 respectively, meaning he performs better against LHH.
  • His Weighted True AVG score is 0.202, again indicating a superior performance.
  • He will be facing 7 LHH and 2 RHH, which might be advantageous given his lower True AVG for LHH.

Lance Lynn (Chicago White Sox)

  • Lance Lynn has a True AVG of 0.177 for LHH and 0.255 for RHH, showing a significant advantage when facing LHH.
  • With a Weighted True AVG score of 0.212, his performance is better than average.
  • He will be facing 5 LHH and 4 RHH, which could be beneficial due to his notably lower True AVG for LHH.

Brady Singer (Kansas City Royals)

  • Brady Singer displays a significant difference in his True AVG with 0.194 for LHH and 0.296 for RHH, indicating a strong performance when facing LHH.
  • His Weighted True AVG score is 0.228, which is lower than average, suggesting better performance.
  • Singer will be facing 6 LHH and 3 RHH, which is good considering his low True AVG for LHH.

Jordan Montgomery (St. Louis Cardinals)

  • Jordan Montgomery has a True AVG of 0.267 for LHH and 0.255 for RHH, suggesting a balanced performance against both.
  • His Weighted True AVG score is 0.228, which is also below average, indicating a good performance.
  • He will be facing 1 LHH and 7 RHH, but his balanced True AVG might not pose significant problems.

These pitchers, with their low Weighted True AVG scores and the number of LHH and RHH they will be facing, are likely to perform well. Their performance is better than average, and their True AVG scores indicate they perform particularly well against either LHH or RHH. The matchups they will be facing favor their strengths, which will likely result in a better performance.

The top 5 players with the highest (Worst) Weighted True AVG scores are:

Yonny Chirinos (Tampa Bay Rays)

  • Yonny Chirinos has a significant difference in his True AVG between Left-Handed Hitters (LHH) and Right-Handed Hitters (RHH) with 0.311 and 0.260 respectively. This indicates a weakness against LHH.
  • His Weighted True AVG score is 0.283 which is relatively high, indicating poorer performance.
  • He will be facing 4 LHH and 5 RHH from the opposing team, which could be a challenge considering his high True AVG for LHH.

Tommy Henry (Arizona Diamondbacks)

  • Tommy Henry also shows a notable difference in True AVG for LHH and RHH with 0.257 and 0.281 respectively, meaning he struggles more against RHH.
  • His Weighted True AVG score is 0.281, again indicating a poorer performance.
  • He will be facing 0 LHH and 9 RHH, which might be problematic given his high True AVG for RHH.

Jalen Beeks (Tampa Bay Rays)

  • Jalen Beeks has a True AVG of 0.275 for LHH and 0.282 for RHH, showing a slight weakness against RHH.
  • With a Weighted True AVG score of 0.279, his performance is less than ideal.
  • He will be facing 3 LHH and 6 RHH, which could be disadvantageous given his slightly higher True AVG for RHH.

Shane Bieber (Cleveland Indians)

  • Shane Bieber displays a significant difference in his True AVG with 0.295 for LHH and 0.261 for RHH, indicating a difficulty when facing LHH.
  • His Weighted True AVG score is 0.276, which is higher than average.
  • Bieber will be facing 4 LHH and 5 RHH, posing a challenge due to his high True AVG for LHH.

Kyle Muller (Oakland Athletics)

  • Kyle Muller has a True AVG of 0.311 for LHH and 0.265 for RHH, suggesting a clear struggle against LHH.
  • His Weighted True AVG score is 0.275, which is also above average.
  • He will be facing 2 LHH and 7 RHH, but his high True AVG for LHH could pose problems.

Based on their Weighted True AVG scores and the number of LHH and RHH they will be facing, these pitchers are likely to perform poorly. Their performance is lower than average, and their True AVG scores indicate they have particular weaknesses against either LHH or RHH. The matchups they will be facing do not favor their strengths, which will likely result in a poorer performance.

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G-PD Breakdown: MLB DFS Main Slate 5-15-2023

Scoring Percentages and Stacking

ARI

  • DK Team Own%: 67.5
  • DK LevX: 12.00%
  • FD Team Own%: 66.28
  • FD LevX: 9.00%

Arizona Diamondbacks are showing solid numbers with high ownership percentages both on DraftKings and FanDuel. Their positive LevX on both platforms suggests that they could be a good team to stack.

SD

  • DK Team Own%: 79.09
  • DK LevX: 4.00%
  • FD Team Own%: 91.15
  • FD LevX: -1.50%

San Diego Padres are also showing high ownership percentages. However, their LevX on FanDuel is negative, indicating they might not be a good team to stack on that platform.

OAK

  • DK Team Own%: 11.05
  • DK LevX: 25.00%
  • FD Team Own%: 10.01
  • FD LevX: 25.00%

Oakland Athletics have lower ownership percentages, but their LevX on both platforms is high. This suggests they could be a potentially undervalued team to stack.

TOR

  • DK Team Own%: 52.31
  • DK LevX: 9.00%
  • FD Team Own%: 40.52
  • FD LevX: 14.50%

Toronto Blue Jays have moderate ownership percentages and positive LevX on both platforms. This suggests they could be a good team to stack.

NYY

  • DK Team Own%: 22.9
  • DK LevX: 19.50%
  • FD Team Own%: 26.4
  • FD LevX: 22.50%

New York Yankees have lower ownership percentages but very high LevX on both platforms. This makes them a potentially undervalued team to stack.

Stacking in Daily Fantasy Sports (DFS) can be a successful strategy as it allows players to maximize their potential points if a particular team performs well. The five teams mentioned above (ARI, SD, OAK, TOR, NYY) are all good candidates for stacking based on their high 8+ runs percentages, indicating that they often score 8 or more runs in a game. However, it's worth noting that the LevX metric, which measures the leverage a team provides over the average team in the same slate, is negative for SD on FanDuel. This means that they may be overvalued on that platform. Conversely, teams with positive LevX, such as ARI, OAK, TOR, and NYY, are undervalued and thus could be good teams to stack as they may provide better value for money.

DK Pitcher Options

Jameson Taillon

  • Team: CHC
  • Salary: 7500
  • Median Score: 23.01
  • Top Finish Percentage: 40.80%
  • Top 5 Finish Percentage: 73.30%
  • Large Field Own%: 0.73, which is significantly lower than the average Large Field Own% in the dataset.
  • Small Field Own%: 0.73, which is significantly lower than the average Small Field Own% in the dataset.

Hunter Greene

  • Team: CIN
  • Salary: 8300
  • Median Score: 20.88
  • Top Finish Percentage: 23.90%
  • Top 5 Finish Percentage: 65.10%
  • Large Field Own%: 4.39, which is significantly higher than the average Large Field Own% in the dataset.
  • Small Field Own%: 4.39, which is significantly higher than the average Small Field Own% in the dataset.

Pablo Lopez

  • Team: MIN
  • Salary: 10100
  • Median Score: 18.05
  • Top Finish Percentage: 8.80%
  • Top 5 Finish Percentage: 38.40%
  • Large Field Own%: 4.12, which is significantly higher than the average Large Field Own% in the dataset.
  • Small Field Own%: 4.12, which is significantly higher than the average Small Field Own% in the dataset.

Alex Wood

  • Team: SF
  • Salary: 7100
  • Median Score: 17.68
  • Top Finish Percentage: 7.40%
  • Top 5 Finish Percentage: 36.60%
  • Large Field Own%: 0.63, which is significantly lower than the average Large Field Own% in the dataset.
  • Small Field Own%: 0.63, which is significantly lower than the average Small Field Own% in the dataset.

George Kirby

  • Team: SEA
  • Salary: 9400
  • Median Score: 16.22
  • Top Finish Percentage: 2.20%
  • Top 5 Finish Percentage: 22.20%
  • Large Field Own%: 3.66, which is significantly higher than the average Large Field Own% in the dataset.
  • Small Field Own%: 3.66, which is significantly higher than the average Small Field Own% in the dataset.

Each of these players are good bets to perform well based on their high median scores and high Top 5 Finish Percentages, which indicate consistent high performance. Their Top Finish Percentages also show that they have a good chance of coming in first place. Their ownership percentages in both large and small fields are also worth noting. For Jameson Taillon and Alex Wood, their low ownership percentages suggest that they might be overlooked by many participants, which could make them valuable picks for their potential high returns. Meanwhile, Hunter Greene, Pablo Lopez, and George Kirby, who have significantly higher ownership percentages, are favored by many, suggesting that they are reliable and consistent performers.

FD Pitcher Options

Jameson Taillon

  • Team: CHC
  • Salary: 7500
  • Median Score: 41.67
  • Top_finish: 45.00%
  • Top_5_finish: 84.60%
  • Large Field Own%: 0.66
  • Difference to the average Large Field Own%: -3.71
  • Small Field Own%: 0.66
  • Difference to the average Small Field Own%: -3.71

Hunter Greene

  • Team: CIN
  • Salary: 8800
  • Median Score: 38.89
  • Top_finish: 28.90%
  • Top_5_finish: 76.80%
  • Large Field Own%: 1.22
  • Difference to the average Large Field Own%: -3.15
  • Small Field Own%: 1.22
  • Difference to the average Small Field Own%: -3.15

Alex Wood

  • Team: SF
  • Salary: 7000
  • Median Score: 31.73
  • Top_finish: 7.00%
  • Top_5_finish: 50.30%
  • Large Field Own%: 0.58
  • Difference to the average Large Field Own%: -3.79
  • Small Field Own%: 0.58
  • Difference to the average Small Field Own%: -3.79

Pablo Lopez

  • Team: MIN
  • Salary: 10400
  • Median Score: 31.53
  • Top_finish: 6.10%
  • Top_5_finish: 47.70%
  • Large Field Own%: 2.05
  • Difference to the average Large Field Own%: -2.32
  • Small Field Own%: 2.05
  • Difference to the average Small Field Own%: -2.32

Charlie Morton

  • Team: ATL
  • Salary: 9800
  • Median Score: 29.24
  • Top_finish: 2.90%
  • Top_5_finish: 40.80%
  • Large Field Own%: 12.33
  • Difference to the average Large Field Own%: 7.96
  • Small Field Own%: 9.55
  • Difference to the average Small Field Own%: 5.18

These players are considered good bets due to their high median scores, which indicate consistent performance levels. Notably, Jameson Taillon has the highest median score and also high percentages for Top_finish and Top_5_finish, making him a strong bet. Hunter Greene, though having a lower top finish percentage, has a high top 5 finish percentage and slightly higher ownership in large and small fields, indicating trust among many players.

Alex Wood and Pablo Lopez both exhibit steady performances, reflected in their median scores. Their ownership percentages are lower, which might make them less popular choices but potential winners in a competitive setting.

Charlie Morton stands out with a large field ownership percentage significantly higher than the dataset's average. Although his top finish and top 5 finish percentages are lower than others, the high ownership percentage indicates that many players believe in his potential to perform well. This may be due to factors not covered in this dataset, such as recent performance trends, team support, or individual skill factors.

True AVG breakdown

The top 5 players with the lowest (Best) Weighted True AVG scores are:

Jameson Taillon

  • Team: CHC
  • Salary: Unknown
  • True AVG (LHH): 0.239
  • True AVG (RHH): 0.186
  • Weighted True AVG: 0.198 (below average)
  • Facing 2 Opp LHH and 7 Opp RHH.

Hunter Greene

  • Team: CIN
  • Salary: Unknown
  • True AVG (LHH): 0.190
  • True AVG (RHH): 0.226
  • Weighted True AVG: 0.210 (below average)
  • Facing 4 Opp LHH and 5 Opp RHH.

Alex Wood

  • Team: SF
  • Salary: Unknown
  • True AVG (LHH): 0.269
  • True AVG (RHH): 0.167
  • Weighted True AVG: 0.212 (below average)
  • Facing 4 Opp LHH and 5 Opp RHH.

Pablo Lopez

  • Team: MIN
  • Salary: Unknown
  • True AVG (LHH): 0.235
  • True AVG (RHH): 0.205
  • Weighted True AVG: 0.218 (below average)
  • Facing 4 Opp LHH and 5 Opp RHH.

Freddy Peralta

  • Team: MIL
  • Salary: Unknown
  • True AVG (LHH): 0.254
  • True AVG (RHH): 0.196
  • Weighted True AVG: 0.228 (below average)
  • Facing 5 Opp LHH and 4 Opp RHH.

The top 5 players with the highest (Worst) Weighted True AVG scores are:

Jhony Brito

  • Team: NYY
  • Salary: Unknown
  • True AVG (LHH): 0.262
  • True AVG (RHH): 0.309
  • Weighted True AVG: 0.293 (above average)
  • Facing 3 Opp LHH and 6 Opp RHH.

Connor Seabold

  • Team: COL
  • Salary: Unknown
  • True AVG (LHH): 0.270
  • True AVG (RHH): 0.289
  • Weighted True AVG: 0.285 (above average)
  • Facing 2 Opp LHH and 7 Opp RHH.

Brad Keller

  • Team: KC
  • Salary: Unknown
  • True AVG (LHH): 0.257
  • True AVG (RHH): 0.296
  • Weighted True AVG: 0.278 (above average)
  • Facing 4 Opp LHH and 5 Opp RHH.

Drew Rucinski

  • Team: OAK
  • Salary: Unknown
  • True AVG (LHH): 0.273
  • True AVG (RHH): 0.297
  • Weighted True AVG: 0.278 (above average)
  • Facing 7 Opp LHH and 2 Opp RHH.

Noah Syndergaard

  • Team: LAD
  • Salary: Unknown
  • True AVG (LHH): 0.277
  • True AVG (RHH): 0.273
  • Weighted True AVG: 0.275 (above average)
  • Facing 4 Opp LHH and 5 Opp RHH.

The five pitchers with the lowest Weighted True AVG scores – Jameson Taillon, Hunter Greene, Alex Wood, Pablo Lopez, and Freddy Peralta – are likely to perform well. They have lower averages of allowed batting averages, indicating they're generally successful at preventing hits. It's also worth noting the difference in their True AVG against left-handed hitters (LHH) and right-handed hitters (RHH).

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G-PD Breakdown: MLB DFS Main Slate 5-8-2023

Scoring Percentages and Stacking

SF

  • Avg Score: 8.33
  • 8+ runs: 58.00%
  • Opp SP: Jake Irvin
  • DK Team Own%: 81.26
  • DK LevX: 15.00%
  • FD Team Own%: 65.01
  • FD LevX: 18.50%

MIL

  • Avg Score: 6.67
  • 8+ runs: 38.40%
  • Opp SP: Tony Gonsolin
  • DK Team Own%: 32.01
  • DK LevX: 21.50%
  • FD Team Own%: 38.93
  • FD LevX: 25.00%

SEA

  • Avg Score: 6.76
  • 8+ runs: 37.80%
  • Opp SP: Jon Gray
  • DK Team Own%: 57.35
  • DK LevX: 11.50%
  • FD Team Own%: 57.9
  • FD LevX: 18.50%

NYY

  • Avg Score: 6.30
  • 8+ runs: 33.00%
  • Opp SP: JP Sears
  • DK Team Own%: 119.57
  • DK LevX: -15.00%
  • FD Team Own%: 100.66
  • FD LevX: -15.00%

CHC

  • Avg Score: 5.62
  • 8+ runs: 28.40%
  • Opp SP: Miles Mikolas
  • DK Team Own%: 14.6
  • DK LevX: 25.00%
  • FD Team Own%: 35.37
  • FD LevX: 21.50%

The top 5 teams with the highest 8+ runs percentages are good teams to stack in DFS because they consistently score a high number of runs, increasing the chances of success for a lineup featuring multiple hitters from those teams. However, it is important to consider the LevX scores for each team. While SF, MIL, SEA, and CHC have positive LevX scores, indicating that they are potentially undervalued, the NYY has a negative LevX score on both DK and FD platforms. This means that their ownership is high relative to their chances of scoring 8+ runs, which can make them a less optimal choice for stacking compared to the other teams in the top 5.

DK Pitcher Options

Zac Gallen

  • Team: ARI
  • Salary: 10200
  • Top_finish percentage: 53.20%
  • Top_5_finish percentage: 85.10%
  • Large Field Own%: 26.07 (Difference: -4.3%)
  • Small Field Own%: 39.64 (Difference: 13.27%)

Nestor Cortes

  • Team: NYY
  • Salary: 9400
  • Top_finish percentage: 12.40%
  • Top_5_finish percentage: 56.80%
  • Large Field Own%: 61.65 (Difference: 31.28%)
  • Small Field Own%: 75.00 (Difference: 48.63%)

Freddy Peralta

  • Team: MIL
  • Salary: 8600
  • Top_finish percentage: 10.60%
  • Top_5_finish percentage: 53.10%
  • Large Field Own%: 12.36 (Difference: -17.61%)
  • Small Field Own%: 12.36 (Difference: -13.01%)

Hunter Brown

  • Team: HOU
  • Salary: 9200
  • Top_finish percentage: 8.90%
  • Top_5_finish percentage: 50.70%
  • Large Field Own%: 6.26 (Difference: -23.71%)
  • Small Field Own%: 6.26 (Difference: -19.11%)

Logan Gilbert

  • Team: SEA
  • Salary: 9000
  • Top_finish percentage: 6.70%
  • Top_5_finish percentage: 44.50%
  • Large Field Own%: 30.24 (Difference: -0.13%)
  • Small Field Own%: 47.98 (Difference: 21.61%)

Based on the provided statistics, these five players are good bets to perform well in tournaments. Their high Median scores indicate consistently strong performances, and their top finish percentages and top 5 finish percentages show that they have a history of outperforming others in their respective tournaments. It's worth noting the significant difference in ownership percentages between large and small field tournaments for some players, such as Nestor Cortes and Logan Gilbert. In these cases, their popularity in small field tournaments can be an indicator of their potential for success, while their relatively lower ownership in large field tournaments may present an opportunity for contrarian picks to capitalize on their overlooked potential.

FD Pitcher Options

Zac Gallen

  • Team: ARI
  • Salary: 11300
  • Top_finish percentage: 50.90%
  • Top_5_finish percentage: 88.60%
  • Large Field Own%: 7.57% (Difference to average: -1.56%)
  • Small Field Own%: 9.13% (Difference to average: 1.56%)

Nestor Cortes

  • Team: NYY
  • Salary: 9300
  • Top_finish percentage: 13.80%
  • Top_5_finish percentage: 73.20%
  • Large Field Own%: 50.78% (Difference to average: 41.65%)
  • Small Field Own%: 33.13% (Difference to average: 25.56%)

Freddy Peralta

  • Team: MIL
  • Salary: 10000
  • Top_finish percentage: 15.60%
  • Top_5_finish percentage: 74.30%
  • Large Field Own%: 3.61% (Difference to average: -5.52%)
  • Small Field Own%: 3.61% (Difference to average: -4.35%)

Hunter Brown

  • Team: HOU
  • Salary: 9600
  • Top_finish percentage: 13.00%
  • Top_5_finish percentage: 72.10%
  • Large Field Own%: 1.62% (Difference to average: -7.51%)
  • Small Field Own%: 1.62% (Difference to average: -6.34%)

Logan Gilbert

  • Team: SEA
  • Salary: 9500
  • Top_finish percentage: 4.30%
  • Top_5_finish percentage: 50.10%
  • Large Field Own%: 21.74% (Difference to average: 12.61%)
  • Small Field Own%: 21.00% (Difference to average: 13.43%)

Based on these statistics, the top 5 players with the highest Median scores are good bets to perform well in tournaments. Zac Gallen leads the pack with an impressive 88.60% Top_5_finish percentage, while Nestor Cortes has the highest Large Field Own% difference to the average at 41.65%. Both Freddy Peralta and Hunter Brown have low ownership percentages, making them potentially valuable picks due to their high Median scores and Top_5_finish percentages. Logan Gilbert, on the other hand, has a lower Top_5_finish percentage compared to the others, but his Large Field Own% difference to the average is positive at 12.61%.

An outlier in the dataset is Nestor Cortes, with a significantly higher Large Field Own% and Small Field Own% difference to the average compared to the other players in the top 5. This suggests that he may be a popular choice among DFS players, possibly due to his consistent performance or other factors such as recent form or favorable match-ups.

True AVG breakdown

The top 5 players with the lowest (Best) Weighted True AVG scores are:

Nestor Cortes

  • Team: NYY
  • Salary: 9300
  • Weighted True AVG: 0.201 (Below average)
  • True AVG (LHH): 0.273
  • True AVG (RHH): 0.201
  • Opp LHH: 0
  • Opp RHH: 9

Hunter Brown

  • Team: HOU
  • Salary: 9600
  • Weighted True AVG: 0.204 (Below average)
  • True AVG (LHH): 0.248
  • True AVG (RHH): 0.191
  • Opp LHH: 2
  • Opp RHH: 7

Logan Gilbert

  • Team: SEA
  • Salary: 9500
  • Weighted True AVG: 0.217 (Below average)
  • True AVG (LHH): 0.198
  • True AVG (RHH): 0.240
  • Opp LHH: 5
  • Opp RHH: 4

Freddy Peralta

  • Team: MIL
  • Salary: 10000
  • Weighted True AVG: 0.217 (Below average)
  • True AVG (LHH): 0.235
  • True AVG (RHH): 0.181
  • Opp LHH: 6
  • Opp RHH: 3

Zac Gallen

  • Team: ARI
  • Salary: 11300
  • Weighted True AVG: 0.222 (Below average)
  • True AVG (LHH): 0.213
  • True AVG (RHH): 0.227
  • Opp LHH: 3
  • Opp RHH: 6

The top 5 players with the highest (Worst) Weighted True AVG scores are:

Jon Gray

  • Team: TEX
  • Salary: 7800
  • Weighted True AVG: 0.291 (Above average)
  • True AVG (LHH): 0.303
  • True AVG (RHH): 0.282
  • Opp LHH: 4
  • Opp RHH: 5

Zack Greinke

  • Team: KC
  • Salary: 6800
  • Weighted True AVG: 0.287 (Above average)
  • True AVG (LHH): 0.285
  • True AVG (RHH): 0.289
  • Opp LHH: 4
  • Opp RHH: 5

Jake Irvin

  • Team: WAS
  • Salary: 7500
  • Weighted True AVG: 0.287 (Above average)
  • True AVG (LHH): 0.316
  • True AVG (RHH): 0.251
  • Opp LHH: 5
  • Opp RHH: 4

Tony Gonsolin

  • Team: LAD
  • Salary: 8800
  • Weighted True AVG: 0.286 (Above average)
  • True AVG (LHH): 0.343
  • True AVG (RHH): 0.240
  • Opp LHH: 4
  • Opp RHH: 5

Marcus Stroman

  • Team: CHC
  • Salary: 9800
  • Weighted True AVG: 0.280 (Above average)
  • True AVG (LHH): 0.285
  • True AVG (RHH): 0.273
  • Opp LHH: 5
  • Opp RHH: 4

Based on their baselines and matchup, the five players with the highest Weighted True AVG scores are good bets to perform well. They have below-average Weighted True AVG scores, indicating they are more effective at preventing hits.

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G-PD Breakdown: MLB DFS Main Slate 5-7-2023

Scoring Percentages and Stacking

The top 5 teams with the highest 8+ runs percentages are as follows:

Oakland Athletics (OAK):

  • 8+ runs percentage: 32.60%
  • DK Team Own%: 86.27
  • DK LevX: 8.50%
  • FD Team Own%: 64.18
  • FD LevX: 11.50%

Boston Red Sox (BOS):

  • 8+ runs percentage: 32.20%
  • DK Team Own%: 55.45
  • DK LevX: 15.00%
  • FD Team Own%: 51.28
  • FD LevX: 18.50%

New York Yankees (NYY):

  • 8+ runs percentage: 31.00%
  • DK Team Own%: 44.63
  • DK LevX: 21.50%
  • FD Team Own%: 47.75
  • FD LevX: 25.00%

Minnesota Twins (MIN):

  • 8+ runs percentage: 29.20%
  • DK Team Own%: 52.93
  • DK LevX: 11.50%
  • FD Team Own%: 57.87
  • FD LevX: 11.50%

Detroit Tigers (DET):

  • 8+ runs percentage: 24.40%
  • DK Team Own%: 43.19
  • DK LevX: 21.50%
  • FD Team Own%: 39.66
  • FD LevX: 25.00%

These teams are good to stack in DFS due to their high 8+ runs percentages, which means they often score 8 or more runs in a game. This can lead to more points for your DFS lineup. The positive LevX scores for these teams indicate that they are less commonly owned than their performance would suggest, providing a potential advantage in DFS contests.

DK Pitcher Options

Gerrit Cole (SP, NYY, $11500)

  • Top_finish: 31.60%
  • Top_5_finish: 70.40%
  • Large Field Own%: 56.92% (Difference to average: +20.75%)
  • Small Field Own%: 75.00% (Difference to average: +39.27%)

Mason Miller (SP, OAK, $7600)

  • Top_finish: 23.90%
  • Top_5_finish: 63.70%
  • Large Field Own%: 5.15% (Difference to average: -30.95%)
  • Small Field Own%: 5.15% (Difference to average: -30.58%)

Joey Lucchesi (SP, NYM, $8200)

  • Top_finish: 20.20%
  • Top_5_finish: 63.30%
  • Large Field Own%: 15.86% (Difference to average: -20.24%)
  • Small Field Own%: 19.26% (Difference to average: -16.47%)

Roansy Contreras (SP, PIT, $8400)

  • Top_finish: 7.50%
  • Top_5_finish: 38.00%
  • Large Field Own%: 3.32% (Difference to average: -32.78%)
  • Small Field Own%: 3.32% (Difference to average: -32.41%)

Joe Ryan (SP, MIN, $10000)

  • Top_finish: 4.10%
  • Top_5_finish: 33.50%
  • Large Field Own%: 13.54% (Difference to average: -22.56%)
  • Small Field Own%: 14.62% (Difference to average: -20.81%)

FD Pitcher Options

Joey Lucchesi (P, NYM, $8300)

  • Top_finish: 31.60%
  • Top_5_finish: 80.00%
  • Large Field Own%: 6.64% (Difference to average: -4.11%)
  • Small Field Own%: 6.72% (Difference to average: -4.03%)

Mason Miller (P, OAK, $7700)

  • Top_finish: 25.40%
  • Top_5_finish: 75.50%
  • Large Field Own%: 3.20% (Difference to average: -7.55%)
  • Small Field Own%: 3.20% (Difference to average: -7.55%)

Gerrit Cole (P, NYY, $11500)

  • Top_finish: 20.10%
  • Top_5_finish: 73.90%
  • Large Field Own%: 20.30% (Difference to average: +9.55%)
  • Small Field Own%: 34.04% (Difference to average: +23.29%)

Roansy Contreras (P, PIT, $8500)

  • Top_finish: 12.30%
  • Top_5_finish: 63.30%
  • Large Field Own%: 2.09% (Difference to average: -8.66%)
  • Small Field Own%: 2.09% (Difference to average: -8.66%)

Joe Ryan (P, MIN, $11000)

  • Top_finish: 3.30%
  • Top_5_finish: 44.50%
  • Large Field Own%: 6.30% (Difference to average: -4.45%)
  • Small Field Own%: 6.30% (Difference to average: -4.45%)

True AVG breakdown

The top 5 players with the lowest (Best) Weighted True AVG scores are:

Mason Miller (RHP, OAK)

  • Weighted True AVG: 0.207 (0.071 below average)
  • True AVG (LHH): 0.230, True AVG (RHH): 0.179
  • Opp LHH: 5, Opp RHH: 4

Gerrit Cole (RHP, NYY)

  • Weighted True AVG: 0.217 (0.061 below average)
  • True AVG (LHH): 0.227, True AVG (RHH): 0.215
  • Opp LHH: 2, Opp RHH: 7

Roansy Contreras (RHP, PIT)

  • Weighted True AVG: 0.221 (0.057 below average)
  • True AVG (LHH): 0.265, True AVG (RHH): 0.200
  • Opp LHH: 3, Opp RHH: 6

Ryan Feltner (RHP, COL)

  • Weighted True AVG: 0.232 (0.046 below average)
  • True AVG (LHH): 0.217, True AVG (RHH): 0.260
  • Opp LHH: 6, Opp RHH: 3

Alex Faedo (RHP, DET)

  • Weighted True AVG: 0.249 (0.029 below average)
  • True AVG (LHH): 0.252, True AVG (RHH): 0.246
  • Opp LHH: 5, Opp RHH: 4

The top 5 players with the highest (Worst) Weighted True AVG scores are:

Hayden Wesneski (RHP, CHC)

  • Weighted True AVG: 0.279 (0.001 above average)
  • True AVG (LHH): 0.294, True AVG (RHH): 0.271
  • Opp LHH: 3, Opp RHH: 6

Taijuan Walker (RHP, PHI)

  • Weighted True AVG: 0.278 (0.002 below average)
  • True AVG (LHH): 0.278, True AVG (RHH): 0.279
  • Opp LHH: 7, Opp RHH: 2

Joey Lucchesi (LHP, NYM)

  • Weighted True AVG: 0.273 (0.007 above average)
  • True AVG (LHH): 0.206, True AVG (RHH): 0.281
  • Opp LHH: 1, Opp RHH: 8

Ryan Yarbrough (LHP, KC)

  • Weighted True AVG: 0.268 (0.002 above average)
  • True AVG (LHH): 0.274, True AVG (RHH): 0.268
  • Opp LHH: 1, Opp RHH: 8

Cal Quantrill (RHP, CLE)

  • Weighted True AVG: 0.267 (0.003 above average)
  • True AVG (LHH): 0.275, True AVG (RHH): 0.261
  • Opp LHH: 4, Opp RHH: 5
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G-PD Breakdown: MLB DFS Main Slate 5-6-2023

Scoring Percentages and Stacking

The top 5 Names with the highest 8+ runs percentages are:

KC

  • 8+ runs percentage: 50.40%
  • DK Team Own%: 108.27
  • DK LevX: -1.50%
  • FD Team Own%: 101.61
  • FD LevX: 1.50%

SF

  • 8+ runs percentage: 44.60%
  • DK Team Own%: 61.78
  • DK LevX: 18.50%
  • FD Team Own%: 47.41
  • FD LevX: 21.50%

OAK

  • 8+ runs percentage: 34.40%
  • DK Team Own%: 65.03
  • DK LevX: -1.50%
  • FD Team Own%: 62.78
  • FD LevX: 8.50%

SD

  • 8+ runs percentage: 33.40%
  • DK Team Own%: 38.05
  • DK LevX: 21.50%
  • FD Team Own%: 55.95
  • FD LevX: 11.50%

ATL

  • 8+ runs percentage: 29.00%
  • DK Team Own%: 51.99
  • DK LevX: 8.50%
  • FD Team Own%: 31.66
  • FD LevX: 25.00%

These teams are good to stack in DFS as they have high 8+ runs percentages, which indicates their potential for scoring 8 or more runs in a game. However, it is also important to consider the LevX metric. While ATL, SF, and SD have positive LevX scores in both DK and FD, OAK and KC have negative DK LevX scores, which may suggest that these teams might not be the best choices for stacking in DraftKings.

DK Pitcher Options

Spencer Strider

  • Position: SP
  • Team: ATL
  • Salary: $11,500
  • Median Score: 26.97
  • Top_finish Percentage: 70.20%
  • Top_5_finish Percentage: 89.90%
  • Large Field Own%: 73.55 (Average: 56.06)
  • Difference to the average Large Field Own%: 17.49
  • Small Field Own%: 75.00 (Average: 75.00)
  • Difference to the average Small Field Own%: 0

Nathan Eovaldi

  • Position: SP
  • Team: TEX
  • Salary: $9,300
  • Median Score: 19.73
  • Top_finish Percentage: 10.10%
  • Top_5_finish Percentage: 59.00%
  • Large Field Own%: 13.05 (Average: 14.06)
  • Difference to the average Large Field Own%: -1.01
  • Small Field Own%: 13.60 (Average: 13.60)
  • Difference to the average Small Field Own%: 0

MacKenzie Gore

  • Position: SP
  • Team: WAS
  • Salary: $8,700
  • Median Score: 18.78
  • Top_finish Percentage: 7.70%
  • Top_5_finish Percentage: 48.90%
  • Large Field Own%: 6.66 (Average: 6.66)
  • Difference to the average Large Field Own%: 0
  • Small Field Own%: 6.66 (Average: 6.66)
  • Difference to the average Small Field Own%: 0

Alex Cobb

  • Position: SP
  • Team: SF
  • Salary: $9,000
  • Median Score: 16.89
  • Top_finish Percentage: 2.60%
  • Top_5_finish Percentage: 32.80%
  • Large Field Own%: 21.71 (Average: 26.44)
  • Difference to the average Large Field Own%: -4.73
  • Small Field Own%: 30.93 (Average: 30.93)
  • Difference to the average Small Field Own%: 0

Reid Detmers

  • Position: SP
  • Team: LAA
  • Salary: $8,500
  • Median Score: 16.74
  • Top_finish Percentage: 2.70%
  • Top_5_finish Percentage: 38.30%
  • Large Field Own%: 16.34 (Average: 20.13)
  • Difference to the average Large Field Own%: -3.79
  • Small Field Own%: 20.18 (Average: 20.18)
  • Difference to the average Small Field Own%: 0

FD Pitcher Options

Based on the dataset provided, the top 5 players with the highest Median scores are:

Spencer Strider (P, ATL, $11,400)

  • Top_finish percentage: 63.20%
  • Top_5_finish percentage: 95.20%
  • Large Field Own%: 34.64 (difference to average: -2.31)
  • Small Field Own%: 62.62 (difference to average: +25.67)

Nathan Eovaldi (P, TEX, $9,700)

  • Top_finish percentage: 13.30%
  • Top_5_finish percentage: 79.40%
  • Large Field Own%: 6.29 (difference to average: -30.66)
  • Small Field Own%: 6.29 (difference to average: -30.66)

MacKenzie Gore (P, WAS, $10,300)

  • Top_finish percentage: 13.30%
  • Top_5_finish percentage: 82.70%
  • Large Field Own%: 2.61 (difference to average: -34.34)
  • Small Field Own%: 2.61 (difference to average: -34.34)

Alex Cobb (P, SF, $8,300)

  • Top_finish percentage: 7.50%
  • Top_5_finish percentage: 70.00%
  • Large Field Own%: 10.40 (difference to average: -26.55)
  • Small Field Own%: 14.13 (difference to average: -22.82)

Reid Detmers (P, LAA, $8,600)

  • Top_finish percentage: 2.10%
  • Top_5_finish percentage: 55.30%
  • Large Field Own%: 7.60 (difference to average: -29.35)
  • Small Field Own%: 8.54 (difference to average: -28.41)

These players are considered good bets to perform well based on their high Median scores, which indicate strong tournament expectations, as well as their impressive Top_finish and Top_5_finish percentages. Although some of them have a lower-than-average Large Field Own% and Small Field Own%, their performance statistics outweigh this factor, making them appealing options.

True AVG breakdown

The top 5 players with the lowest (Best) Weighted True AVG scores are:

Spencer Strider (RHP, ATL)

  • True AVG (LHH): 0.173
  • True AVG (RHH): 0.205
  • Weighted True AVG: 0.184 (below average)
  • Opp LHH: 6, Opp RHH: 3

MacKenzie Gore (LHP, WAS)

  • True AVG (LHH): 0.073
  • True AVG (RHH): 0.228
  • Weighted True AVG: 0.194 (below average)
  • Opp LHH: 2, Opp RHH: 7

Nathan Eovaldi (RHP, TEX)

  • True AVG (LHH): 0.243
  • True AVG (RHH): 0.192
  • Weighted True AVG: 0.209 (below average)
  • Opp LHH: 3, Opp RHH: 6

Reid Detmers (LHP, LAA)

  • True AVG (LHH): 0.245
  • True AVG (RHH): 0.209
  • Weighted True AVG: 0.213 (below average)
  • Opp LHH: 1, Opp RHH: 8

Alex Cobb (RHP, SF)

  • True AVG (LHH): 0.270
  • True AVG (RHH): 0.210
  • Weighted True AVG: 0.237 (below average)
  • Opp LHH: 4, Opp RHH: 5

The Highest (worst) Weighted True AVG scores are:

Colin Rea (RHP, MIL)

  • True AVG (LHH): 0.316
  • True AVG (RHH): 0.278
  • Weighted True AVG: 0.299 (above average)
  • Opp LHH: 5, Opp RHH: 4

Ken Waldichuk (LHP, OAK)

  • True AVG (LHH): 0.322
  • True AVG (RHH): 0.266
  • Weighted True AVG: 0.285 (above average)
  • Opp LHH: 3, Opp RHH: 6

Brady Singer (RHP, KC)

  • True AVG (LHH): 0.231
  • True AVG (RHH): 0.298
  • Weighted True AVG: 0.268 (above average)
  • Opp LHH: 4, Opp RHH: 5

Bailey Falter (LHP, PHI)

  • True AVG (LHH): 0.266
  • True AVG (RHH): 0.270
  • Weighted True AVG: 0.268 (above average)
  • Opp LHH: 5, Opp RHH: 4

Corey Kluber (RHP, BOS)

  • True AVG (LHH): 0.275
  • True AVG (RHH): 0.261
  • Weighted True AVG: 0.267 (above average)
  • Opp LHH: 4, Opp RHH: 5

Players with lower Weighted True AVG scores are considered good bets to perform well due to their more realistic batting average allowed through regressive methods. Their baselines and matchup (number of Opp LHH and Opp RHH) further contribute to their performance expectations.

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G-PD Breakdown: MLB DFS Main Slate 5-5-2023

Scoring Percentages and Stacking

In this dataset, the top 5 teams with the highest 8+ runs percentages are SEA, CHC, TB, LAA, and BAL. These percentages represent how often a team scores 8 or more runs in a game, which is a useful metric for assessing team performance. Stacking these teams in daily fantasy sports (DFS) can yield high returns, as their strong offensive capabilities can lead to multiple hitters from the same team having excellent performances.

The top 5 teams with the highest 8+ runs percentages are as follows:

  1. San Francisco Giants (SF)
  • DK Team Own%: 15.33
  • DK LevX: 25.00%
  • FD Team Own%: 12.76
  • FD LevX: 25.00%
  • These percentages indicate that the Giants are an excellent team to stack in DFS as they consistently score 8 or more runs in a game. Their positive LevX scores on both platforms show that they are undervalued and could potentially provide significant returns.
  1. Oakland Athletics (OAK)
  • DK Team Own%: 55.21
  • DK LevX: 10.00%
  • FD Team Own%: 38.24
  • FD LevX: 20.50%
  • Oakland also has a high 8+ runs percentage, making them a solid choice for stacking in DFS. The positive LevX scores suggest that they are undervalued, which could result in substantial returns if they perform well.
  1. Kansas City Royals (KC)
  • DK Team Own%: 87.06
  • DK LevX: -1.00%
  • FD Team Own%: 61.66
  • FD LevX: 1.00%
  • The Royals have a high 8+ runs percentage, but their DK LevX score is negative, which could imply that they may be slightly overvalued on DraftKings. However, they still have a positive LevX score on FanDuel, making them a viable stacking option on that platform.
  1. Atlanta Braves (ATL)
  • DK Team Own%: 48.83
  • DK LevX: 3.50%
  • FD Team Own%: 44.27
  • FD LevX: 10.00%
  • The Braves are another team with a high 8+ runs percentage, making them a good choice for stacking in DFS. Their positive LevX scores on both platforms indicate that they are undervalued, which could result in higher returns.
  1. Milwaukee Brewers (MIL)
  • DK Team Own%: 39.68
  • DK LevX: 16.50%
  • FD Team Own%: 41.99
  • FD LevX: 10.00%
  • The Brewers are also among the top teams for 8+ runs percentage. Their positive LevX scores on both DraftKings and FanDuel show that they are undervalued, making them a great stacking option in DFS for potential high returns.

DK Pitcher Options

Based on the dataset provided, here are the top 5 players with the highest Median scores, along with relevant statistics:

  1. Chris Sale (SP, BOS, $7500)
  • Median: 19.54
  • Top_finish percentage: 22.10%
  • Top_5_finish percentage: 53.30%
  • Large Field Own%: 10.91 (Difference to average: -3.83)
  • Small Field Own%: 12.74 (Difference to average: -2.00)
  1. Bailey Ober (SP, MIN, $7200)
  • Median: 18.62
  • Top_finish percentage: 12.70%
  • Top_5_finish percentage: 40.30%
  • Large Field Own%: 1.51 (Difference to average: -13.23)
  • Small Field Own%: 1.51 (Difference to average: -13.23)
  1. Luis Castillo (SP, SEA, $10000)
  • Median: 18.08
  • Top_finish percentage: 11.90%
  • Top_5_finish percentage: 37.30%
  • Large Field Own%: 16.90 (Difference to average: 2.16)
  • Small Field Own%: 24.70 (Difference to average: 9.96)
  1. Zack Wheeler (SP, PHI, $10600)
  • Median: 18.05
  • Top_finish percentage: 11.40%
  • Top_5_finish percentage: 37.80%
  • Large Field Own%: 18.24 (Difference to average: 3.50)
  • Small Field Own%: 27.39 (Difference to average: 12.65)
  1. Cristian Javier (SP, HOU, $9700)
  • Median: 17.45
  • Top_finish percentage: 8.40%
  • Top_5_finish percentage: 37.00%
  • Large Field Own%: 11.05 (Difference to average: -3.69)
  • Small Field Own%: 13.01 (Difference to average: -1.73)

These players are good bets to perform well based on their high median scores, strong top finish and top 5 finish percentages, as well as their ownership rates in both large and small fields.

FD Pitcher Options

Based on the dataset, the top 5 players with the highest Median scores are:

  1. Chris Sale (BOS) – Median: 37.51
  • Top_finish: 27.80%
  • Top_5_finish: 72.10%
  • Large Field Own%: 4.15% (Difference to average: 0.00%)
  • Small Field Own%: 4.15% (Difference to average: 0.00%)
  1. Bailey Ober (MIN) – Median: 36.99
  • Top_finish: 23.20%
  • Top_5_finish: 67.60%
  • Large Field Own%: 1.34% (Difference to average: -2.81%)
  • Small Field Own%: 1.34% (Difference to average: -2.81%)
  1. Zack Wheeler (PHI) – Median: 35.40
  • Top_finish: 19.40%
  • Top_5_finish: 62.00%
  • Large Field Own%: 10.97% (Difference to average: -7.49%)
  • Small Field Own%: 17.39% (Difference to average: 13.24%)
  1. Luis Castillo (SEA) – Median: 31.79
  • Top_finish: 7.50%
  • Top_5_finish: 46.30%
  • Large Field Own%: 8.27% (Difference to average: -6.19%)
  • Small Field Own%: 12.00% (Difference to average: 7.85%)
  1. Cristian Javier (HOU) – Median: 30.91
  • Top_finish: 6.70%
  • Top_5_finish: 41.90%
  • Large Field Own%: 4.60% (Difference to average: 0.45%)
  • Small Field Own%: 4.65% (Difference to average: 0.50%)

These players are good bets to perform well based on their high Median scores, which indicate strong tournament expectations. Additionally, their Top_finish and Top_5_finish percentages demonstrate consistent performance in their respective tournaments. The differences in Large Field and Small Field Own% reveal the players' popularity and potential ownership among other players in the dataset.

True AVG breakdown

Top 5 Lowest (Best) Weighted True AVG scores:

Zack Wheeler

  • True AVG (LHH): 0.184
  • True AVG (RHH): 0.225
  • Weighted True AVG: 0.207 (better than average)
  • Opp LHH: 4, Opp RHH: 5

Matthew Boyd

  • True AVG (LHH): 0.219
  • True AVG (RHH): 0.248
  • Weighted True AVG: 0.218 (better than average)
  • Opp LHH: 1, Opp RHH: 7

Luis Castillo

  • True AVG (LHH): 0.236
  • True AVG (RHH): 0.217
  • Weighted True AVG: 0.221 (better than average)
  • Opp LHH: 2, Opp RHH: 7

Bailey Ober

  • True AVG (LHH): 0.248
  • True AVG (RHH): 0.193
  • Weighted True AVG: 0.224 (better than average)
  • Opp LHH: 5, Opp RHH: 4

Chris Sale

  • True AVG (LHH): 0.214
  • True AVG (RHH): 0.234
  • Weighted True AVG: 0.229 (better than average)
  • Opp LHH: 2, Opp RHH: 7

Top 5 Highest (Worst) Weighted True AVG scores:

Sean Manaea

  • True AVG (LHH): 0.142
  • True AVG (RHH): 0.333
  • Weighted True AVG: 0.312 (worse than average)
  • Opp LHH: 1, Opp RHH: 8

Peyton Battenfield

  • True AVG (LHH): 0.366
  • True AVG (RHH): 0.185
  • Weighted True AVG: 0.286 (worse than average)
  • Opp LHH: 5, Opp RHH: 4

Corbin Burnes

  • True AVG (LHH): 0.293
  • True AVG (RHH): 0.261
  • Weighted True AVG: 0.272 (worse than average)
  • Opp LHH: 3, Opp RHH: 6

Clayton Kershaw

  • True AVG (LHH): 0.319
  • True AVG (RHH): 0.241
  • Weighted True AVG: 0.267 (worse than average)
  • Opp LHH: 3, Opp RHH: 6

Dane Dunning

  • True AVG (LHH): 0.249
  • True AVG (RHH): 0.273
  • Weighted True AVG: 0.265 (worse than average)
  • Opp LHH: 3, Opp RHH: 6
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NFL DFS Showdown SZN: Eagles vs. Chiefs SUPERBOWL

Welcome to this edition of the NFL DFS Showdown SZN breakdown. The aim of this post is to look at the best players to build around and constructions to focus on for the night's NFL DFS showdown contests on Draftkings. We optimize 5,000 lineups for the contest and look into the most common captains and FLEX. Likewise, we take into account the whole lineup's projection and ownership. Finally, we run the lineups through the tools found in the Theory of DFS: Advanced Players course (Buy it here) to see what combos are +EV.

Main Points:

  • The name of the game today is fitting Mahomes and Hurts, and doing so while remaining competitive in the GPP without being duped is exceptionally difficult.
  • The highest projected dupes completely lack both defenses, which makes them prime options in terms of building natural diversification.
  • Enjoy the Superbowl and I hope to see you all next year at Paydirt!

For conversation and game theory on the charts with updated ownership distributions as well as the top 20 predicted dupes, jump in the Paydirt discord! Free with this link: https://discord.gg/mQ6u5dfawF

Captain and FLEX ownership distributions

The slate entirely comes down to building around Jalen Hurts and Patrick Mahomes. However, the optimizations much prefer Hurts thanks to a considerably higher median projection and rushing upside. Hurts has a CPT% in the optimizations of 48% while Mahomes is at just 2.78%. The projected ownership for both is around even at 13%, which says that Hurts is considerably undervalued even with the highest projected captain ownership on the slate. This feels akin to Josh Allen or Christian McCaffrey showdowns, where the field isn’t playing them enough even as the highest owned player overall.

The most overvalued player tonight is likely Travis Kelce. His projected ownership at captain is 10.71% while the optimizations only have him in the slot 2.41% of the time. Likewise in terms of FLEX his projected ownership sits at around 43% while his optimization exposure is only 28.76%. This isn’t necessarily a consequence of Kelce being a bad play, it’s more a consequence of his price. The optimizations prefer using only two studs, and Kelce ends up being left out of lineups because of it.

Some other notes on optimization exposures and projected ownership:

  • AJ Brown looks way undervalued at both CPT and FLEX and is the second highest priority on the slate outside of Jalen Hurts, which creates a natural pairing.
  • While Travis Kelce is overvalued, Juju Smith-Schuster looks undervalued especially at the FLEX spot.
  • Both Kickers are well undervalued as salary saving options.

Duplication projections and DFS lineups to avoid

Here are the top 20 lineups in projected dupes. To clarify, you should avoid playing these lineups in large field GPPs tonight:

Nearly every one of the highest projected dupes is using Jalen Hurts, but that is to be expected. Outside of him, Patrick Mahomes and AJ Brown are highly exposed options as well.Interestingly, Miles Sanders is not seen here at all, and neither is the Eagles DST. That pairing may provide extreme leverage in large field contests while people assume the game to be high scoring. Likewise, the pairing of Isiah Pacheco and the Chiefs DST makes a lot of sense for Chiefs onslaughts as well.

DFS Showdown SZN: Final Thoughts

I wrote this during the CIN/BUF game, and it holds true tonight:

It is going to be very, very hard to win the main GPP tonight on Draftkings with the size of the contest and generally condensed offenses. People are going to build out weird lineups with bad plays just to be unique, and I think that’s mostly a mistake. While you should certainly be off the board, I think it’s much better to be off the board in a way that maintains upside rather than throwing darts. 

Be different with roster construction and captain usage instead of playing someone like Royce Gilliam or whoever the fuck is going to get touted as a sneaky value option. Use defenses and kickers in weird ways. Fade Joe Burrow. Run a 5-1 BUF onslaught. But build something that isn’t unique in a bad way.

The size of the contests tonight makes it hard to be unique, but that doesn’t mean you should throw optimal game theory out the window and just play fuck-all plays. The name of the game here is being thoughtful with your leverage and creating a lot of direct routes towards passing the field. For instance, playing Noah Gray in a lineup with the salary for Travis Kelce. Or playing Miles Sanders in a lineup that could have Jalen Hurts. Look for ways to build in a way that benefits while the field fails.

Overall, the optimizations have a clear taste for Hurts over Mahomes tonight, and they prefer the Eagles in general. Utilizing the combo of Hurts and AJ Brown instead of that of Mahomes and Travis Kelce. Utilizing RB/DST correlations and making onslaught lineups while the field plays for a competitive high scoring affair is a strong route as well. Finally, the main player that looks like a strong piece of a KC stack in place of Travis Kelce is Juju Smith-Schuster.

Some players that look overvalued:

  • Travis Kelce
  • Jerrick McKinnon
  • Marquez Valdes-Scantling

Some players that look undervalued:

  • Juju Smith-Schuster
  • Jalen Hurts (CPT)
  • Harrison Butker (FLEX)

Good luck and bink a unique!


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NFL DFS Showdown SZN: Bills vs. Bengals

Welcome to this edition of the NFL DFS Showdown SZN breakdown. The aim of this post is to look at the best players to build around and constructions to focus on for the night's NFL DFS showdown contests on Draftkings. We optimize 5,000 lineups for the contest and look into the most common captains and FLEX. Likewise, we take into account the whole lineup's projection and ownership. Finally, we run the lineups through the tools found in the Theory of DFS: Advanced Players course (Buy it here) to see what combos are +EV.

Main Points:

  • You will likely have to fade one of the QBs tonight in large fields, and it’s Burrow that gets voted off the island.
  • Highest duplications are likely to be built around Isaiah McKenzie, but adding Gabe Davis can remedy that.
  • Don’t build bad lineups, focus on being different through roster construction rather than bad players.

For conversation and game theory on the charts with updated ownership distributions as well as the top 20 predicted dupes, jump in the Paydirt discord! Free with this link: https://discord.gg/mQ6u5dfawF

Captain and FLEX ownership distributions

This slate, like most with the Bills, hinges on Josh Allen at captain. His projections in both the median and ceiling thresholds are just so much higher than the others available. Because of this, he makes for an undervalued captain and overvalued FLEX. Indeed, he will end up around 95% owned tonight across all slots and positions.

The most overvalued player tonight is looking like Joe Burrow. His captain exposures in the optimizations are just 3.81% against a projected ownership of 12.39%. While Burrow has an exceptional ceiling, it just doesn’t compare to that of Allen or even Ja’Marr Chase when taking price into consideration. Overall, you will likely have to make a choice to fade one of the QBs, and Burrow is the obvious odd man out.

Some other notes on optimization exposures and projected ownership:

  • Both James Cook and Semaj Perine appear in no optimizations as captain, but Perine looks like an appropriately valued FLEX option.
  • Tyler Boyd is well overvalued in both CPT and FLEX slots.
  • Isaiah McKenzie is probably the best cheap option at FLEX, and looks well undervalued overall.

Duplication projections and DFS lineups to avoid

Here are the top 20 lineups in projected dupes. To clarify, you should avoid playing these lineups in large field GPPs tonight:

The vast majority of highly duplicated lineups look to have Isaiah McKenzie at captain. This is because of a modest price and his relatively high ceiling in the Bills offense. Indeed, 8 of the lineups you see above have him in the CPT slot. Joining him at captain here are both QBs, Ja’Marr Chase, and Joe Mixon. It’s worth noting that neither of Diggs or Davis end up in the highest dupes, which might be a nice place to get a bit different.

The main note on FLEX options above is that Gabe Davis is not used at all. With him being void of both captain and FLEX exposure in the high dupes, he makes for an obvious priority in larger field GPPs to induce differentiation. The only other note on dupes is that neither defense is used, which is a typical leak by the field in perceived shootouts.

DFS Showdown SZN: Final Thoughts

It is going to be very, very hard to win the main GPP tonight on Draftkings with the size of the contest and generally condensed offenses. People are going to build out weird lineups with bad plays just to be unique, and I think that’s mostly a mistake. While you should certainly be off the board, I think it’s much better to be off the board in a way that maintains upside rather than throwing darts. 

Be different with roster construction and captain usage instead of playing someone like Royce Gilliam or whoever the fuck is going to get touted as a sneaky value option. Use defenses and kickers in weird ways. Fade Joe Burrow. Run a 5-1 BUF onslaught. But build something that isn’t unique in a bad way.

Based on the optimizations, the main priorities tonight are Josh Allen CPT and Gabe Davis. Likewise, avoiding Joe Burrow is basically a must in the large field GPPs if you want to avoid heavily duplicated action. Finally, having the Bengals DST and hoping for some Josh Allen whoopsies is probably the best large field play you can make while being realistic.

Some players that look overvalued:

  • Joe Burrow
  • James Cook
  • Tyler Boyd

Some players that look undervalued:

  • Josh Allen (CPT)
  • Gabe Davis
  • Isaiah McKenzie

Good luck and bink a unique!


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