Author: James McCool

Scoring Percentages and Stacking

SEA

• Avg Score: 7.32
• 8+ runs: 44.40%
• Opp SP: Ken Waldichuk
• DK Team Own%: 101.41, DK LevX: 5.00%
• FD Team Own%: 85.03, FD LevX: -1.50%

LAD

• Avg Score: 6.84
• 8+ runs: 40.60%
• Opp SP: Bryce Elder
• DK Team Own%: 36.03, DK LevX: 25.00%
• FD Team Own%: 38.42, FD LevX: 25.00%

ATL

• Avg Score: 6.73
• 8+ runs: 38.80%
• Opp SP: Tony Gonsolin
• DK Team Own%: 39.2, DK LevX: 21.50%
• FD Team Own%: 37.5, FD LevX: 25.00%

KC

• Avg Score: 6.15
• 8+ runs: 33.00%
• Opp SP: Matthew Boyd
• DK Team Own%: 53.96, DK LevX: 11.50%
• FD Team Own%: 53.46, FD LevX: 8.50%

NYM

• Avg Score: 6.07
• 8+ runs: 31.80%
• Opp SP: Marcus Stroman
• DK Team Own%: 23.4, DK LevX: 21.50%
• FD Team Own%: 33, FD LevX: 18.50%

SEA, LAD, ATL, KC, and NYM all have high percentages of games in which they score 8 or more runs, which suggests that they often perform well offensively and could offer potential value for stacking in daily fantasy sports (DFS). Their high average scores further reinforce their offensive capabilities.

Additionally, each of these teams' ownership percentages on DraftKings and FanDuel is relatively high, indicating that these teams are popular among DFS players. High ownership, along with strong offensive performance, could lead to valuable points in DFS contests.

The DK LevX and FD LevX values represent the leverage that a team offers on the respective platform. Positive LevX scores indicate that the team is under-owned relative to their scoring potential. Among these teams, LAD, ATL, KC, and NYM all show positive LevX scores on both platforms, suggesting they could provide an edge in contests due to being under-owned.

However, SEA has a negative FD LevX score of -1.50%, indicating that they are over-owned relative to their scoring potential on FanDuel. While this doesn't necessarily eliminate them as a viable option for stacking, it does suggest that DFS players may need to find additional ways to differentiate their lineups when including SEA to gain a competitive advantage.

DK Pitcher Options

Bryce Miller

• Bryce Miller, who plays for the Seattle Mariners, has a salary of 10100, with the highest median score of 20.08 in the dataset.
• He has a remarkable top_finish percentage of 35.10% and a Top_5_finish percentage of 65.50%.
• In terms of Large Field Own%, Miller clocks in at 37.51%, which is lower than the average Large Field Own% of the dataset, meaning he may be a slightly less popular choice among players in larger fields.
• However, his Small Field Own% is impressive at 62.52%, far above the average Small Field Own% of the dataset, suggesting he is a favourite among small field players.

James Paxton

• Playing for the Boston Red Sox, James Paxton has a salary of 8900 and a solid median score of 17.83.
• His top_finish and Top_5_finish percentages are at 15.20% and 40.70% respectively.
• Paxton's Large Field Own% is identical to his Small Field Own% at 9.70%. Both percentages are identical to the average Own% for each field type, showing he is chosen equally among small and large field players.

Sandy Alcantara

• Miami Marlins player Sandy Alcantara, with a salary of 8300, brings in a median score of 15.54.
• His top_finish percentage is 5.40% and his Top_5_finish percentage is 24.10%.
• Alcantara's Large Field Own% is 21.68%, slightly higher than the average Large Field Own% of the dataset, whereas his Small Field Own% is 20.15%, slightly lower than the average Small Field Own%.

Nestor Cortes

• Nestor Cortes, playing for the New York Yankees, comes with a salary of 8100 and a median score of 15.14.
• He has a top_finish percentage of 3.30% and a Top_5_finish percentage of 20.50%.
• Cortes' Large Field Own% is quite high at 64.74%, significantly above the dataset average, suggesting that he is a popular choice among large field players. His Small Field Own% is also high at 56.03%.

Karl Kauffmann

• Karl Kauffmann of the Colorado Rockies has a salary of 5000 and a median score of 14.55.
• He has a top_finish percentage of 2.40% and a Top_5_finish percentage of 16.20%.
• Interestingly, Kauffmann's Large and Small Field Own% are the same, at 0.95%. This is significantly below the dataset average, indicating that he might be an underdog or less popular pick among players.

These players have demonstrated great performance metrics and consistently high scores, which make them strong bets to perform well in future games. An interesting outlier is Karl Kauffmann, who, despite his lower salary and Own% metrics, has still managed to attain a high median score. His low Own% could present an opportunity for savvy players to capitalize on a less popular yet effective choice. However, it is important to remember that past performance does not guarantee future results, and all factors should be considered when making selections.

FD Pitcher Options

Bryce Miller (SEA, $10,900)

• Top_finish: 49.60%
• Top_5_finish: 84.30%
• Large Field Own%: 18.82% (+1.37% compared to the average Large Field Own%)
• Small Field Own%: 16.72% (+0.27% compared to the average Small Field Own%)

James Paxton (BOS, $10,400)

• Top_finish: 18.40%
• Top_5_finish: 65.90%
• Large Field Own%: 2.43% (-14.97% compared to the average Large Field Own%)
• Small Field Own%: 2.43% (-13.92% compared to the average Small Field Own%)

Sandy Alcantara (MIA, $8,900)

• Top_finish: 10.10%
• Top_5_finish: 53.80%
• Large Field Own%: 8.37% (-9.13% compared to the average Large Field Own%)
• Small Field Own%: 7.13% (-9.22% compared to the average Small Field Own%)

Kodai Senga (NYM, $9,600)

• Top_finish: 5.70%
• Top_5_finish: 43.50%
• Large Field Own%: 51.82% (+34.27% compared to the average Large Field Own%)
• Small Field Own%: 44.22% (+27.77% compared to the average Small Field Own%)

Nestor Cortes (NYY, $8,300)

• Top_finish: 6.40%
• Top_5_finish: 44.70%
• Large Field Own%: 27.22% (+9.67% compared to the average Large Field Own%)
• Small Field Own%: 23.73% (+7.28% compared to the average Small Field Own%)

All of these players are excellent bets to perform well due to their high Median scores and strong Top_finish and Top_5_finish percentages. They are more likely to outperform other players and therefore, could be valuable additions to a team. Kodai Senga of the NYM stands out particularly, with an exceptionally high Large Field Own% of 51.82%, far above the average of 17.55%, indicating a higher level of confidence among participants in his performance. Conversely, James Paxton's Large Field Own% is significantly lower than the average, which could be a result of his relatively lower Top_finish and Top_5_finish percentages, suggesting that he may be a riskier choice despite his high Median score.

True AVG breakdown

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

Karl Kauffmann (COL)

• Significant difference between True AVG (LHH) and True AVG (RHH): 0.282 vs 0.126
• Weighted True AVG is 0.146, significantly below the average of the dataset
• Facing 2 Opp LHH and 6 Opp RHH

James Paxton (BOS)

• Small difference between True AVG (LHH) and True AVG (RHH): 0.248 vs 0.227
• Weighted True AVG is 0.229, slightly below the average of the dataset
• Facing 1 Opp LHH and 8 Opp RHH

Kodai Senga (NYM)

• Moderate difference between True AVG (LHH) and True AVG (RHH): 0.258 vs 0.207
• Weighted True AVG is 0.235, close to the average of the dataset
• Facing 5 Opp LHH and 4 Opp RHH

Nestor Cortes (NYY)

• Significant difference between True AVG (LHH) and True AVG (RHH): 0.288 vs 0.223
• Weighted True AVG is 0.238, close to the average of the dataset
• Facing 2 Opp LHH and 7 Opp RHH

Sandy Alcantara (MIA)

• Small difference between True AVG (LHH) and True AVG (RHH): 0.223 vs 0.256
• Weighted True AVG is 0.238, close to the average of the dataset
• Facing 5 Opp LHH and 4 Opp RHH

All five of these players have solid Weighted True AVG scores, demonstrating their overall efficiency in maintaining low batting averages allowed, a key factor in contributing to their teams' success. Karl Kauffmann stands out with the lowest Weighted True AVG of 0.146, far below the average, indicating his exceptional performance. Interestingly, he also has a significant difference between his True AVG (LHH) and True AVG (RHH), which could be attributed to his right-handed pitching style. James Paxton, though a left-handed pitcher, shows little difference between his True AVG (LHH) and True AVG (RHH), indicating his balanced performance against both left and right-handed hitters. Based on these baselines and matchups, these players have strong potential to perform well in their upcoming games.

Scoring Percentages and Stacking

SEA

• DK Team Own%: 110.39%
• DK LevX: -2.00%
• FD Team Own%: 79.71%
• FD LevX: 9.50%
• Opp SP: Kyle Muller

ATL

• DK Team Own%: 59.71%
• DK LevX: 25.00%
• FD Team Own%: 48.43%
• FD LevX: 25.00%
• Opp SP: Gavin Stone

MIN

• DK Team Own%: 48.95%
• DK LevX: 25.00%
• FD Team Own%: 62.51%
• FD LevX: 9.50%
• Opp SP: Sean Manaea

LAA

• DK Team Own%: 39.22%
• DK LevX: 25.00%
• FD Team Own%: 60.01%
• FD LevX: 9.50%
• Opp SP: Tanner Houck

KC

• DK Team Own%: 30.2%
• DK LevX: 25.00%
• FD Team Own%: 31.06%
• FD LevX: 17.50%
• Opp SP: Michael Lorenzen

SEA, ATL, MIN, LAA, and KC are good teams to stack in DFS due to their high percentages of games with 8+ runs scored. This statistic suggests they often have high-scoring games, which can provide a high reward for DFS players. Additionally, all five teams have positive LevX scores on FanDuel, indicating they may be under-owned relative to their potential scoring output, providing an opportunity for unique lineups. While all the teams have positive LevX scores on FanDuel, SEA's DK LevX is negative, meaning they might be over-owned in DraftKings contests relative to their scoring potential. In such a situation, it could be beneficial to look for less popular teams or players for diversity and potential upside.

DK Pitcher Options

Bailey Ober

• Team: MIN
• Salary: 8100
• Top_finish: 29.10%
• Top_5_finish: 64.20%
• Large Field Own%: 18.68%, lower than average
• Small Field Own%: 23.00%, higher than average

Luis Castillo

• Team: SEA
• Salary: 9200
• Top_finish: 18.00%
• Top_5_finish: 50.90%
• Large Field Own%: 75.00%, significantly higher than average
• Small Field Own%: 75.00%, significantly higher than average

Jaime Barria

• Team: LAA
• Salary: 7900
• Top_finish: 11.80%
• Top_5_finish: 43.50%
• Large Field Own%: 0.71%, significantly lower than average
• Small Field Own%: 0.71%, significantly lower than average

Edward Cabrera

• Team: MIA
• Salary: 8300
• Top_finish: 13.10%
• Top_5_finish: 45.00%
• Large Field Own%: 3.79%, significantly lower than average
• Small Field Own%: 3.79%, significantly lower than average

Charlie Morton

• Team: ATL
• Salary: 9400
• Top_finish: 6.90%
• Top_5_finish: 34.40%
• Large Field Own%: 15.72%, lower than average
• Small Field Own%: 17.09%, higher than average

Bailey Ober, Luis Castillo, Jaime Barria, Edward Cabrera, and Charlie Morton are good bets to perform well based on these statistics. They all have high median scores, meaning they tend to perform around these values frequently. This consistency can provide a reliable floor of points in a tournament setting. Additionally, each player has a relatively high top_finish and top_5_finish percentage, indicating that they often finish in the top positions of tournaments.

However, there are significant differences in their ownership percentages. Luis Castillo has a remarkably high ownership in both small and large field tournaments, suggesting he is a popular choice among players. On the other hand, Jaime Barria and Edward Cabrera have significantly lower ownership percentages, which can provide a unique lineup that could potentially outperform in a tournament due to lower competition. Bailey Ober and Charlie Morton show balanced ownership percentages, making them solid choices for any type of tournament. These outliers in ownership percentage can inform a strategic decision about which players to choose based on the size of the tournament and the potential reward of a unique lineup.

FD Pitcher Options

Bailey Ober

• Team: MIN
• Salary: 10300
• Top_finish: 33.30%
• Top_5_finish: 78.20%
• Large Field Own%: 7.98%, lower than average
• Small Field Own%: 8.71%, lower than average

Luis Castillo

• Team: SEA
• Salary: 10500
• Top_finish: 25.10%
• Top_5_finish: 73.20%
• Large Field Own%: 36.93%, lower than average
• Small Field Own%: 66.61%, significantly higher than average

Jaime Barria

• Team: LAA
• Salary: 5500
• Top_finish: 14.30%
• Top_5_finish: 66.20%
• Large Field Own%: 0.73%, significantly lower than average
• Small Field Own%: 0.73%, significantly lower than average

Edward Cabrera

• Team: MIA
• Salary: 7800
• Top_finish: 10.60%
• Top_5_finish: 60.20%
• Large Field Own%: 1.50%, significantly lower than average
• Small Field Own%: 1.50%, significantly lower than average

Cristian Javier

• Team: HOU
• Salary: 10800
• Top_finish: 6.20%
• Top_5_finish: 46.80%
• Large Field Own%: 11.02%, lower than average
• Small Field Own%: 14.79%, lower than average

Bailey Ober, Luis Castillo, Jaime Barria, Edward Cabrera, and Cristian Javier are good bets to perform well based on these statistics. They all have high median scores, indicating that they are expected to consistently perform well in tournaments. Additionally, each player has a relatively high top_finish and top_5_finish percentage, indicating that they often finish in the top positions of tournaments.

However, the ownership percentages show some interesting outliers. Luis Castillo has a particularly high Small Field Own% compared to his Large Field Own%, suggesting he is a popular choice in smaller tournaments. On the other hand, Jaime Barria and Edward Cabrera have exceptionally low ownership percentages in both small and large field tournaments, indicating they are overlooked by most players. This could provide a unique edge in tournaments due to lower competition. Bailey Ober and Cristian Javier show more balanced, albeit lower than average, ownership percentages, suggesting they could be undervalued picks. These insights into the players' popularity among the player base can help in forming a strategic lineup based on the size and competitiveness of the tournament.

True AVG breakdown

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

John Brebbia

• Team: SF
• True AVG (LHH): 0.139
• True AVG (RHH): 0.201
• Weighted True AVG: 0.180, significantly below average
• Opp RHH: 6
• Opp LHH: 3

Edward Cabrera

• Team: MIA
• True AVG (LHH): 0.298
• True AVG (RHH): 0.155
• Weighted True AVG: 0.218, below average
• Opp RHH: 5
• Opp LHH: 4

Cristian Javier

• Team: HOU
• True AVG (LHH): 0.236
• True AVG (RHH): 0.258
• Weighted True AVG: 0.220, below average
• Opp RHH: 4
• Opp LHH: 4

Charlie Morton

• Team: ATL
• True AVG (LHH): 0.225
• True AVG (RHH): 0.224
• Weighted True AVG: 0.224, slightly below average
• Opp RHH: 5
• Opp LHH: 4

Bailey Ober

• Team: MIN
• True AVG (LHH): 0.239
• True AVG (RHH): 0.220
• Weighted True AVG: 0.231, slightly below average
• Opp RHH: 4
• Opp LHH: 5

John Brebbia, Edward Cabrera, Cristian Javier, Charlie Morton, and Bailey Ober are good bets to perform well based on their weighted True AVG scores. They all have below-average numbers, indicating that they are strong against both left-handed and right-handed hitters.

However, there are some significant differences between their True AVG (LHH) and True AVG (RHH). Edward Cabrera stands out as being particularly effective against right-handed hitters (True AVG RHH of 0.155), but somewhat vulnerable to left-handers (True AVG LHH of 0.298). John Brebbia also shows a similar trend, being more effective against left-handed hitters.

Their matchups also offer interesting insights. Bailey Ober and Edward Cabrera are facing an almost equal mix of left- and right-handed hitters, which could benefit them due to their balanced True AVG scores. Cristian Javier and Charlie Morton are also facing a balanced mix of hitters, with Morton showing an almost identical True AVG for both types of hitters.

These players are therefore good picks not just based on their baseline performance but also considering the specific matchups they are facing. Understanding these statistics and matchup information can be crucial for making successful predictions in baseball.

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.

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.

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.

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).

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.

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

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.