StatSharp is thrilled to announce the launch of a new feature designed for serious baseball fans, analysts, and bettors alike—Advanced MLB Player Stats and Sabermetric Analytics. With this cutting-edge addition to our platform, we are providing you with the most comprehensive and detailed baseball statistics available, empowering you to make smarter decisions whether you’re placing bets, participating in DFS contests, or managing your fantasy baseball team. This feature enables you to explore hundreds of key statistics and advanced metrics, offering deeper insights into player performance across the league.
New Features for Enhanced Analysis
Our advanced MLB player stats feature offers a variety of powerful tools to cater to all your baseball data needs. Here’s a look at some of the key functionalities:
Game Conditions
You can now choose from a variety of game conditions to tailor the stats to your specific needs. Whether you want to see how players are performing at home games, recent games, or league-wide performances, you have the flexibility to focus on the data that matters most to you.
Team and League Views
Switch between teams seamlessly and view individual player performance or entire league stats with just a few clicks. This allows you to track players from any team, compare statistics across teams, or zoom in on your favorite players.
Season: 2024, Condition: All Games, Sorted by: PA, DESC | |||||||||||||||||||||||
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Advanced Batting | Runs Created | Batting Ratios | |||||||||||||||||||||
Player | Team | OPS | OPS+ | wOBA | wRAA | BABIP | ISO | TA | SA | RC | RCPA | wRC | wRCPA | wRC+ | XBH% | XBHH% | HR% | BB% | SO% | BIP% | Ct% | RSP | PSN |
Juan Soto | NYY | 0.998 | 180 | 0.423 | 94.8 | 0.300 | 0.283 | 1.120 | 0.517 | 148.8 | 0.192 | 189.6 | 0.244 | 200 | 10.7% | 45.6% | 5.8% | 18.4% | 16.5% | 58.8% | 79.5% | 18.0% | 12.1 |
Aaron Judge | NYY | 1.126 | 214 | 0.463 | 118.2 | 0.356 | 0.367 | 1.307 | 0.623 | 165.8 | 0.216 | 211.7 | 0.276 | 226 | 13.0% | 52.9% | 8.0% | 18.8% | 24.9% | 46.9% | 68.6% | 16.9% | 20.1 |
Anthony Volpe | NYY | 0.669 | 89 | 0.293 | 12.8 | 0.308 | 0.121 | 0.640 | 0.235 | 78.9 | 0.106 | 103.9 | 0.139 | 114 | 6.7% | 29.6% | 1.7% | 7.0% | 22.6% | 67.9% | 75.4% | 13.4% | 18.7 |
Gleyber Torres | NYY | 0.712 | 102 | 0.314 | 25.1 | 0.300 | 0.124 | 0.666 | 0.242 | 85.6 | 0.117 | 114.6 | 0.156 | 128 | 6.3% | 27.9% | 2.3% | 10.2% | 19.5% | 67.3% | 77.8% | 12.3% | 6.5 |
Alex Verdugo | NYY | 0.645 | 82 | 0.283 | 6.4 | 0.251 | 0.122 | 0.566 | 0.216 | 62.0 | 0.092 | 88.9 | 0.131 | 108 | 6.6% | 32.1% | 2.1% | 8.3% | 14.9% | 74.2% | 83.4% | 11.8% | 3.5 |
Giancarlo Stanton | NYY | 0.805 | 123 | 0.341 | 29.2 | 0.272 | 0.265 | 0.751 | 0.360 | 64.5 | 0.124 | 92.7 | 0.178 | 146 | 10.9% | 50.9% | 6.5% | 8.4% | 29.6% | 55.1% | 67.4% | 11.1% | 1.9 |
Austin Wells | NYY | 0.686 | 94 | 0.302 | 11.6 | 0.251 | 0.163 | 0.639 | 0.290 | 45.6 | 0.097 | 68.8 | 0.147 | 120 | 7.5% | 40.2% | 3.2% | 10.9% | 23.2% | 61.2% | 73.0% | 9.6% | 3.5 |
Anthony Rizzo | NYY | 0.645 | 83 | 0.288 | 5.5 | 0.269 | 0.101 | 0.574 | 0.191 | 39.5 | 0.096 | 55.8 | 0.135 | 111 | 5.1% | 24.7% | 1.9% | 8.0% | 18.2% | 69.2% | 79.6% | 9.7% | 0.0 |
Oswaldo Cabrera | NYY | 0.671 | 89 | 0.295 | 6.2 | 0.291 | 0.118 | 0.595 | 0.203 | 33.8 | 0.101 | 47.0 | 0.140 | 115 | 6.0% | 26.3% | 2.4% | 7.2% | 19.7% | 69.9% | 78.4% | 14.0% | 5.3 |
Jazz Chisholm | NYY | 0.761 | 112 | 0.328 | 11.5 | 0.281 | 0.203 | 0.831 | 0.372 | 34.5 | 0.137 | 42.2 | 0.168 | 137 | 8.3% | 36.2% | 5.2% | 7.1% | 23.4% | 63.5% | 74.5% | 13.1% | 16.9 |
Jose Trevino | NYY | 0.636 | 79 | 0.281 | 1.9 | 0.229 | 0.136 | 0.541 | 0.229 | 18.4 | 0.077 | 31.0 | 0.130 | 106 | 5.4% | 28.3% | 3.3% | 8.4% | 17.6% | 69.5% | 80.4% | 10.9% | 1.8 |
DJ LeMahieu | NYY | 0.527 | 51 | 0.239 | -6.1 | 0.229 | 0.055 | 0.414 | 0.144 | 10.8 | 0.047 | 21.7 | 0.095 | 78 | 3.1% | 17.1% | 0.9% | 8.3% | 15.4% | 74.6% | 82.6% | 8.3% | 0.0 |
Trent Grisham | NYY | 0.675 | 90 | 0.295 | 3.9 | 0.217 | 0.196 | 0.636 | 0.318 | 18.8 | 0.090 | 29.3 | 0.141 | 116 | 8.2% | 50.0% | 4.3% | 10.6% | 27.4% | 55.3% | 68.2% | 10.1% | 1.8 |
Benjamin Rice | NYY | 0.613 | 72 | 0.269 | -0.4 | 0.186 | 0.178 | 0.574 | 0.303 | 13.8 | 0.077 | 21.3 | 0.120 | 98 | 7.3% | 50.0% | 3.9% | 11.2% | 27.0% | 57.3% | 68.4% | 11.2% | 0.0 |
Jon Berti | NYY | 0.628 | 80 | 0.286 | 1.0 | 0.322 | 0.039 | 0.590 | 0.182 | 8.2 | 0.096 | 11.5 | 0.134 | 110 | 1.2% | 5.0% | 1.2% | 8.1% | 19.8% | 68.6% | 77.9% | 12.8% | 1.7 |
Jasson Dominguez | NYY | 0.617 | 77 | 0.285 | 0.7 | 0.229 | 0.125 | 0.717 | 0.411 | 6.9 | 0.103 | 8.9 | 0.133 | 109 | 4.5% | 30.0% | 3.0% | 16.4% | 28.4% | 52.2% | 66.1% | 13.4% | 2.9 |
Jahmai Jones | NYY | 0.685 | 93 | 0.302 | 1.1 | 0.360 | 0.143 | 0.636 | 0.190 | 4.9 | 0.105 | 6.9 | 0.146 | 120 | 6.4% | 30.0% | 2.1% | 4.3% | 34.0% | 53.2% | 61.9% | 17.0% | 1.0 |
J.D. Davis | NYY | 0.385 | 12 | 0.191 | -1.4 | 0.200 | 0.053 | 0.316 | 0.211 | -0.3 | -0.012 | 1.3 | 0.057 | 47 | 4.5% | 50.0% | 0.0% | 13.6% | 40.9% | 45.5% | 52.6% | 4.5% | 0.0 |
Carlos Narvaez | NYY | 0.564 | 65 | 0.268 | 0.0 | 0.429 | 0.000 | 0.500 | 0.154 | 1.3 | 0.086 | 1.8 | 0.119 | 98 | 0.0% | 0.0% | 0.0% | 13.3% | 40.0% | 46.7% | 53.8% | 0.0% | 0.0 |
Oswald Peraza | NYY | 0.773 | 113 | 0.329 | 0.5 | 0.167 | 0.300 | 0.750 | 0.400 | 1.4 | 0.127 | 1.9 | 0.168 | 138 | 9.1% | 50.0% | 9.1% | 9.1% | 27.3% | 54.5% | 70.0% | 18.2% | 0.0 |
Taylor Trammell | NYY | 2.000 | 471 | 0.786 | 0.8 | 1.000 | 0.000 | 0.000 | 1.000 | 1.0 | 0.501 | 1.1 | 0.536 | 439 | 0.0% | 0.0% | 0.0% | 50.0% | 0.0% | 50.0% | 100.0% | 100.0% | 0.0 |
Duke Ellis | NYY | 2.000 | 471 | 0.882 | 0.5 | 1.000 | 0.000 | 0.000 | 1.000 | 0.8 | 0.844 | 0.6 | 0.613 | 503 | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | 100.0% | 100.0% | 0.0% | 0.0 |
Kevin Smith | NYY | 0.000 | -100 | 0.000 | 0.0 | 0.000 | 0.000 | 0.000 | 0.000 | 0.0 | 0.000 | 0.0 | 0.000 | -79 | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | 0.0 |
Stat Categories and Metrics
Our platform offers a wide range of statistics, from traditional to advanced sabermetrics:
- Standard Stats like batting averages, home runs, and RBIs.
- Advanced Batting and Sabermetric Metrics such as OPS, wOBA, BABIP, and more.
- Advanced Pitching and Sabermetric Stats such as FIP, ERA+, and SIERA, providing insights into a pitcher’s true skill level beyond traditional ERA.
- Fielding Stats to analyze defensive performance.
Customizable Sorting
We understand that each user has different priorities when evaluating player performance. With our new feature, you can sort the stats in any order that suits your needs—whether you're comparing batting averages, WHIP, or strikeout rates. You can also sort by more complex metrics like OPS+ or xERA to get a clearer picture of player performance beyond the basics.
Season: 2024, Condition: Regular Season Games, Sorted by: IP, DESC | ||||||||||||||||||||||||||
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ERA Estimates | Percentages and Ratios | Pitcher Quality Score | Inherited Runners | |||||||||||||||||||||||
Player | Team | ERA | xERA | ERC | FIP | dERA | DICE | SIERA | Str% | BB% | BB9 | SO% | SO9 | SOBB | PFR | LOB% | GOFO | Dom | Dom% | Dis | Dis% | IR | IRA | IRA% | ||
Carlos Rodon | NYY | 3.79 | 3.96 | 3.80 | 4.30 | 4.15 | 4.30 | 4.30 | 64.0% | 7.5% | 2.9 | 26.0% | 10.0 | 3.45 | 1.43 | 80.0% | 0.97 | 16 | 51.6% | 7 | 22.6% | 0.0 | 0.0 | 0.0% | ||
Nestor Cortes | NYY | 3.50 | 3.40 | 3.08 | 3.57 | 3.54 | 3.57 | 3.57 | 65.4% | 5.0% | 1.9 | 22.5% | 8.4 | 4.50 | 1.14 | 77.4% | 0.98 | 17 | 60.7% | 8 | 28.6% | 1.0 | 0.0 | 0.0% | ||
Marcus Stroman | NYY | 4.43 | 4.69 | 4.76 | 4.56 | 4.48 | 4.56 | 4.56 | 61.1% | 8.6% | 3.5 | 16.4% | 6.6 | 1.91 | 1.12 | 73.2% | 2.16 | 7 | 25.0% | 8 | 28.6% | 0.0 | 0.0 | 0.0% | ||
Luis Gil | NYY | 3.65 | 2.96 | 3.03 | 4.11 | 4.02 | 4.11 | 4.11 | 60.9% | 12.1% | 4.6 | 27.1% | 10.4 | 2.24 | 1.67 | 77.9% | 1.15 | 14 | 50.0% | 7 | 25.0% | 0.0 | 0.0 | 0.0% | ||
Gerrit Cole | NYY | 3.41 | 3.07 | 3.09 | 3.63 | 3.55 | 3.63 | 3.59 | 65.1% | 7.3% | 2.7 | 24.9% | 9.4 | 3.41 | 1.35 | 76.8% | 1.33 | 8 | 47.1% | 4 | 23.5% | 0.0 | 0.0 | 0.0% | ||
Luke Weaver | NYY | 3.05 | 2.26 | 2.02 | 3.29 | 3.20 | 3.29 | 3.29 | 64.3% | 7.5% | 2.7 | 30.8% | 11.1 | 4.08 | 1.53 | 78.5% | 1.13 | 0 | 0.0% | 0 | 0.0% | 17.0 | 5.0 | 29.4% | ||
Clarke Schmidt | NYY | 3.09 | 3.17 | 3.41 | 3.62 | 3.55 | 3.62 | 3.62 | 62.3% | 8.3% | 3.2 | 25.7% | 10.0 | 3.11 | 1.46 | 78.4% | 1.31 | 7 | 46.7% | 3 | 20.0% | 0.0 | 0.0 | 0.0% | ||
Clay Holmes | NYY | 3.26 | 3.41 | 3.44 | 3.02 | 3.05 | 3.02 | 2.98 | 65.3% | 7.6% | 3.0 | 24.0% | 9.3 | 3.15 | 1.37 | 69.0% | 4.10 | 0 | 0.0% | 0 | 0.0% | 27.0 | 9.0 | 33.3% | ||
Michael Tonkin | NYY | 3.48 | 3.03 | 3.10 | 3.66 | 3.62 | 3.66 | 3.60 | 64.1% | 8.7% | 3.3 | 23.3% | 8.9 | 2.68 | 1.35 | 68.4% | 1.29 | 0 | 0.0% | 0 | 0.0% | 25.0 | 9.0 | 36.0% | ||
Tim Hill | NYY | 2.09 | 2.03 | 1.88 | 3.66 | 3.87 | 3.66 | 3.60 | 71.4% | 5.2% | 1.9 | 9.3% | 3.3 | 1.78 | 0.58 | 74.6% | 5.27 | 0 | 0.0% | 0 | 0.0% | 12.0 | 2.0 | 16.7% | ||
Tommy Kahnle | NYY | 2.16 | 2.65 | 2.68 | 3.94 | 3.87 | 3.94 | 3.88 | 62.8% | 10.4% | 3.9 | 26.0% | 9.7 | 2.50 | 1.51 | 78.0% | 3.38 | 0 | 0.0% | 0 | 0.0% | 17.0 | 6.0 | 35.3% | ||
Ian Hamilton | NYY | 3.75 | 3.18 | 3.43 | 2.71 | 2.80 | 2.71 | 2.71 | 66.4% | 8.8% | 3.5 | 24.5% | 9.8 | 2.79 | 1.47 | 70.6% | 1.94 | 0 | 0.0% | 0 | 0.0% | 23.0 | 10.0 | 43.5% | ||
Jake Cousins | NYY | 2.57 | 2.44 | 3.00 | 4.44 | 4.38 | 4.44 | 4.35 | 62.3% | 12.8% | 4.9 | 30.4% | 11.6 | 2.37 | 1.83 | 80.6% | 2.00 | 0 | 0.0% | 0 | 0.0% | 18.0 | 9.0 | 50.0% | ||
Caleb Ferguson | NYY | 4.22 | 4.31 | 4.34 | 3.88 | 3.78 | 3.88 | 3.79 | 65.9% | 10.4% | 4.2 | 27.1% | 11.0 | 2.60 | 1.69 | 66.0% | 1.94 | 0 | 0.0% | 0 | 0.0% | 30.0 | 10.0 | 33.3% | ||
Dennis Santana | NYY | 5.47 | 3.53 | 3.56 | 3.86 | 3.90 | 3.86 | 3.85 | 67.5% | 7.9% | 3.1 | 15.8% | 6.2 | 2.00 | 1.03 | 59.0% | 1.16 | 0 | 0.0% | 0 | 0.0% | 9.0 | 1.0 | 11.1% | ||
Cody Poteet | NYY | 2.22 | 2.46 | 2.48 | 3.96 | 4.03 | 3.96 | 3.96 | 60.7% | 8.0% | 3.0 | 16.0% | 5.9 | 2.00 | 0.99 | 82.6% | 1.41 | 2 | 50.0% | 1 | 25.0% | 1.0 | 0.0 | 0.0% | ||
Ron Marinaccio | NYY | 3.86 | 3.60 | 3.79 | 4.86 | 4.70 | 4.86 | 4.86 | 63.5% | 9.9% | 3.9 | 24.8% | 9.6 | 2.50 | 1.50 | 78.7% | 1.43 | 0 | 0.0% | 0 | 0.0% | 10.0 | 3.0 | 30.0% | ||
Victor Gonzalez | NYY | 4.24 | 2.72 | 3.09 | 5.89 | 6.24 | 5.89 | 5.90 | 58.8% | 13.0% | 5.0 | 11.0% | 4.2 | 0.85 | 1.03 | 69.8% | 2.36 | 0 | 0.0% | 0 | 0.0% | 13.0 | 2.0 | 15.4% | ||
Will Warren | NYY | 10.32 | 7.57 | 8.06 | 4.86 | 4.43 | 4.86 | 4.86 | 61.4% | 8.9% | 4.0 | 25.9% | 11.5 | 2.90 | 1.72 | 45.9% | 1.00 | 1 | 20.0% | 3 | 60.0% | 0.0 | 0.0 | 0.0% | ||
Mark Leiter | NYY | 4.98 | 7.11 | 7.47 | 5.18 | 4.63 | 5.18 | 5.03 | 61.4% | 8.7% | 3.7 | 31.7% | 13.7 | 3.67 | 1.94 | 81.7% | 2.50 | 0 | 0.0% | 0 | 0.0% | 7.0 | 4.0 | 57.1% | ||
Tim Mayza | NYY | 4.00 | 3.65 | 3.44 | 3.88 | 3.89 | 3.88 | 3.91 | 67.1% | 3.9% | 1.5 | 15.8% | 6.0 | 4.00 | 0.83 | 62.5% | 3.00 | 0 | 0.0% | 0 | 0.0% | 2.0 | 0.0 | 0.0% | ||
Yoendrys Gomez | NYY | 3.97 | 5.16 | 5.30 | 5.75 | 5.46 | 5.75 | 5.72 | 62.1% | 13.2% | 5.6 | 18.9% | 7.9 | 1.43 | 1.50 | 86.4% | 0.58 | 0 | 0.0% | 0 | 0.0% | 4.0 | 3.0 | 75.0% | ||
Nick Burdi | NYY | 0.96 | 2.62 | 2.97 | 4.49 | 4.40 | 4.49 | 4.41 | 60.2% | 17.1% | 6.8 | 29.3% | 11.6 | 1.71 | 2.04 | 103.4% | 0.43 | 0 | 0.0% | 0 | 0.0% | 10.0 | 6.0 | 60.0% | ||
Phil Bickford | NYY | 8.64 | 4.63 | 4.28 | 3.94 | 3.81 | 3.94 | 3.96 | 64.3% | 2.7% | 1.1 | 16.2% | 6.5 | 6.00 | 0.84 | 28.3% | 0.80 | 0 | 0.0% | 0 | 0.0% | 2.0 | 1.0 | 50.0% | ||
Josh Maciejewski | NYY | 2.57 | 1.97 | 1.68 | 3.81 | 3.77 | 3.81 | 3.91 | 62.5% | 7.4% | 2.6 | 25.9% | 9.0 | 3.50 | 1.29 | 87.0% | 3.33 | 0 | 0.0% | 0 | 0.0% | 1.0 | 1.0 | 100.0% | ||
Enyel De Los Santos | NYY | 14.21 | 10.25 | 13.90 | 6.42 | 5.61 | 6.42 | 6.28 | 66.2% | 7.9% | 4.3 | 13.2% | 7.1 | 1.67 | 1.26 | 51.1% | 2.00 | 0 | 0.0% | 0 | 0.0% | 2.0 | 2.0 | 100.0% | ||
Jonathan Loaisiga | NYY | 0.00 | 6.79 | 6.90 | 2.35 | 2.68 | 2.35 | 2.43 | 72.1% | 5.0% | 2.3 | 15.0% | 6.8 | 3.00 | 1.00 | 100.0% | 6.00 | 0 | 0.0% | 0 | 0.0% | 1.0 | 1.0 | 100.0% | ||
Clayton Beeter | NYY | 4.91 | 3.38 | 3.48 | 1.19 | 1.46 | 1.19 | 1.07 | 66.7% | 6.3% | 2.5 | 31.3% | 12.3 | 5.00 | 1.64 | 60.0% | 2.00 | 0 | 0.0% | 0 | 0.0% | 1.0 | 1.0 | 100.0% | ||
Scott Effross | NYY | 5.40 | 5.82 | 5.94 | 7.60 | 7.80 | 7.60 | 7.68 | 61.8% | 13.3% | 5.4 | 13.3% | 5.4 | 1.00 | 1.20 | 83.3% | 0.00 | 0 | 0.0% | 0 | 0.0% | 1.0 | 0.0 | 0.0% | ||
Anthony Misiewicz | NYY | 0.00 | 9.95 | 11.63 | 4.10 | 4.05 | 4.10 | 3.86 | 56.7% | 16.7% | 9.0 | 16.7% | 9.0 | 1.00 | 2.00 | 100.0% | 0.00 | 0 | 0.0% | 0 | 0.0% | 0.0 | 0.0 | 0.0% | ||
Clayton Andrews | NYY | 27.00 | 37.81 | 72.07 | 45.10 | 40.73 | 45.10 | 38.39 | 66.7% | 0.0% | 0.0 | 33.3% | 27.0 | 0.00 | 3.00 | 166.7% | 0.00 | 0 | 0.0% | 0 | 0.0% | 0.0 | 0.0 | 0.0% |
Historical Data at Your Fingertips
StatSharp offers access to over 25 years of archived player data, enabling you to analyze performance trends over time. Whether you’re interested in comparing a player’s stats across seasons or seeing how performance has evolved over the last few decades, our platform provides the comprehensive data you need to make informed decisions.
Hundreds of Stats Covered, Including Cutting-Edge Analytics
We’ve gathered a comprehensive list of advanced metrics to help you analyze both hitting and pitching performance at a level of depth that’s previously been unavailable to the public. Let’s dive into some of the most notable statistics now available on StatSharp:
Advanced Batting Stats
- OPS (On-Base Plus Slugging): A combination of OBP and SLG that captures a player’s overall offensive value.
- OPS+: Adjusted OPS that factors in park and league effects.
- wOBA (Weighted On-Base Average): A more accurate measure of offensive value, assigning different weights to different types of hits.
- wRAA (Weighted Runs Above Average): Measures how many runs a player contributes above the league average.
- BABIP (Batting Average on Balls in Play): Focuses on a player’s ability to make contact with the ball and how often those hits fall in.
- ISO (Isolated Power): Isolated power gives a deeper look at a player’s ability to hit for extra bases, calculated as SLG - AVG.
- Runs Created: Includes multiple variants like RC, wRC, and wRCPA that estimate a player’s ability to contribute to team runs based on their offensive stats.
- Batting Ratios: Metrics like XBH%, HR%, and BB% give you a quick view of a player’s ability to hit for power, draw walks, and avoid strikeouts.
Pitching Stats
- ERA: The traditional measure of a pitcher’s earned run average.
- xERA: A predictive measure of ERA based on batted-ball data and strikeouts.
- FIP (Fielding Independent Pitching): Focuses on a pitcher’s ability to control the game independent of fielding.
- SIERA (Skill-Interactive ERA): A stat that evaluates pitcher skill by considering how batted balls are put into play.
- Strikeout and Walk Ratios: Metrics like SO9 and SO/BB give insights into a pitcher’s command of the strike zone.
- Inherited Runners: Metrics like IRA% help evaluate how well pitchers handle baserunners they inherit from relievers.
Season: 2024, Condition: Regular Season Games, Sorted by: ABa, DESC | ||||||||||||||||||||||||
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Player | Team | G | TBF | AB | R | H | 2B | 3B | HR | BB | SO | GO | FO | AVG | OBP | SLG | OPS | BABIP | XBH% | XBHH% | HR% | BB% | SO% | BIP% |
Carlos Rodon | NYY | 31 | 718 | 651 | 77 | 152 | 31 | 4 | 30 | 55 | 190 | 116 | 119 | 0.233 | 0.303 | 0.432 | 0.735 | 0.283 | 9.1% | 42.8% | 4.2% | 7.7% | 26.5% | 60.2% |
Nestor Cortes | NYY | 29 | 664 | 622 | 65 | 150 | 38 | 0 | 21 | 34 | 153 | 115 | 117 | 0.241 | 0.284 | 0.404 | 0.687 | 0.288 | 9.0% | 39.3% | 3.2% | 5.2% | 23.2% | 68.0% |
Marcus Stroman | NYY | 29 | 654 | 585 | 80 | 161 | 28 | 4 | 19 | 58 | 111 | 173 | 80 | 0.275 | 0.348 | 0.434 | 0.782 | 0.312 | 7.8% | 31.7% | 2.9% | 8.9% | 17.1% | 70.0% |
Luis Gil | NYY | 28 | 615 | 530 | 60 | 100 | 27 | 2 | 18 | 75 | 168 | 101 | 88 | 0.189 | 0.299 | 0.349 | 0.648 | 0.238 | 7.7% | 47.0% | 2.9% | 12.2% | 27.4% | 56.1% |
Gerrit Cole | NYY | 17 | 390 | 355 | 38 | 78 | 14 | 1 | 11 | 29 | 99 | 72 | 54 | 0.220 | 0.290 | 0.358 | 0.647 | 0.273 | 6.7% | 33.3% | 2.8% | 7.4% | 25.4% | 62.8% |
Clarke Schmidt | NYY | 15 | 329 | 287 | 31 | 66 | 11 | 2 | 8 | 28 | 87 | 63 | 48 | 0.230 | 0.318 | 0.366 | 0.684 | 0.302 | 6.5% | 31.8% | 2.5% | 8.6% | 26.9% | 59.3% |
Luke Weaver | NYY | 59 | 316 | 284 | 28 | 52 | 9 | 4 | 10 | 24 | 98 | 59 | 52 | 0.183 | 0.254 | 0.349 | 0.603 | 0.239 | 7.4% | 44.2% | 3.2% | 7.7% | 31.5% | 56.6% |
Clay Holmes | NYY | 65 | 261 | 234 | 29 | 58 | 11 | 0 | 4 | 20 | 63 | 82 | 20 | 0.248 | 0.315 | 0.346 | 0.661 | 0.323 | 5.8% | 25.9% | 1.6% | 7.8% | 24.5% | 65.0% |
Michael Tonkin | NYY | 36 | 216 | 192 | 25 | 42 | 10 | 1 | 5 | 19 | 51 | 45 | 35 | 0.219 | 0.299 | 0.359 | 0.658 | 0.272 | 7.5% | 38.1% | 2.3% | 8.9% | 23.8% | 63.6% |
Tim Hill | NYY | 34 | 168 | 155 | 13 | 33 | 3 | 0 | 2 | 9 | 16 | 79 | 15 | 0.213 | 0.261 | 0.271 | 0.532 | 0.226 | 3.0% | 15.2% | 1.2% | 5.5% | 9.7% | 83.0% |
Tommy Kahnle | NYY | 48 | 173 | 153 | 16 | 28 | 8 | 0 | 5 | 18 | 45 | 54 | 16 | 0.183 | 0.277 | 0.333 | 0.611 | 0.223 | 7.5% | 46.4% | 2.9% | 10.4% | 26.0% | 59.5% |
Ian Hamilton | NYY | 33 | 155 | 135 | 16 | 34 | 10 | 0 | 1 | 14 | 39 | 31 | 16 | 0.252 | 0.336 | 0.348 | 0.684 | 0.347 | 7.2% | 32.4% | 0.7% | 9.2% | 25.7% | 62.5% |
Caleb Ferguson | NYY | 40 | 147 | 129 | 20 | 31 | 8 | 0 | 4 | 15 | 39 | 31 | 16 | 0.240 | 0.329 | 0.395 | 0.724 | 0.314 | 8.2% | 38.7% | 2.7% | 10.3% | 26.7% | 58.9% |
Jake Cousins | NYY | 35 | 144 | 120 | 14 | 19 | 1 | 1 | 5 | 19 | 45 | 26 | 13 | 0.158 | 0.299 | 0.308 | 0.607 | 0.200 | 4.9% | 36.8% | 3.5% | 13.2% | 31.3% | 48.6% |
Dennis Santana | NYY | 22 | 109 | 98 | 16 | 25 | 5 | 1 | 2 | 9 | 18 | 22 | 19 | 0.255 | 0.324 | 0.388 | 0.712 | 0.295 | 7.4% | 32.0% | 1.9% | 8.3% | 16.7% | 72.2% |
Will Warren | NYY | 6 | 110 | 97 | 27 | 33 | 11 | 0 | 5 | 10 | 29 | 14 | 14 | 0.340 | 0.407 | 0.608 | 1.016 | 0.444 | 14.8% | 48.5% | 4.6% | 9.3% | 26.9% | 58.3% |
Mark Leiter | NYY | 21 | 104 | 93 | 14 | 28 | 8 | 0 | 6 | 9 | 33 | 15 | 6 | 0.301 | 0.375 | 0.581 | 0.956 | 0.407 | 13.5% | 50.0% | 5.8% | 8.7% | 31.7% | 51.9% |
Cody Poteet | NYY | 5 | 96 | 87 | 7 | 18 | 3 | 0 | 2 | 8 | 16 | 24 | 17 | 0.207 | 0.281 | 0.310 | 0.592 | 0.232 | 5.2% | 27.8% | 2.1% | 8.3% | 16.7% | 71.9% |
Ron Marinaccio | NYY | 16 | 99 | 83 | 11 | 18 | 4 | 0 | 4 | 10 | 25 | 20 | 14 | 0.217 | 0.323 | 0.410 | 0.733 | 0.259 | 8.3% | 44.4% | 4.2% | 10.4% | 26.0% | 56.3% |
Victor Gonzalez | NYY | 27 | 97 | 81 | 12 | 14 | 2 | 0 | 3 | 13 | 11 | 33 | 14 | 0.173 | 0.309 | 0.309 | 0.618 | 0.164 | 5.2% | 35.7% | 3.1% | 13.4% | 11.3% | 69.1% |
Tim Mayza | NYY | 15 | 74 | 69 | 10 | 18 | 3 | 1 | 2 | 3 | 12 | 27 | 9 | 0.261 | 0.301 | 0.420 | 0.722 | 0.291 | 8.2% | 33.3% | 2.7% | 4.1% | 16.4% | 75.3% |
Yoendrys Gomez | NYY | 5 | 54 | 44 | 5 | 11 | 3 | 0 | 2 | 7 | 10 | 7 | 12 | 0.250 | 0.365 | 0.455 | 0.820 | 0.281 | 9.6% | 45.5% | 3.8% | 13.5% | 19.2% | 61.5% |
Phil Bickford | NYY | 8 | 39 | 36 | 9 | 10 | 2 | 0 | 1 | 1 | 6 | 8 | 10 | 0.278 | 0.316 | 0.417 | 0.732 | 0.310 | 7.9% | 30.0% | 2.6% | 2.6% | 15.8% | 76.3% |
Nick Burdi | NYY | 10 | 42 | 34 | 1 | 5 | 0 | 0 | 1 | 7 | 12 | 3 | 7 | 0.147 | 0.310 | 0.235 | 0.545 | 0.190 | 2.4% | 20.0% | 2.4% | 16.7% | 28.6% | 50.0% |
Enyel De Los Santos | NYY | 5 | 37 | 31 | 10 | 13 | 6 | 0 | 1 | 3 | 5 | 4 | 2 | 0.419 | 0.514 | 0.710 | 1.223 | 0.480 | 18.9% | 53.8% | 2.7% | 8.1% | 13.5% | 67.6% |
Josh Maciejewski | NYY | 4 | 27 | 25 | 2 | 4 | 1 | 0 | 1 | 2 | 7 | 10 | 3 | 0.160 | 0.222 | 0.320 | 0.542 | 0.176 | 7.4% | 50.0% | 3.7% | 7.4% | 25.9% | 63.0% |
Jonathan Loaisiga | NYY | 3 | 20 | 19 | 0 | 7 | 0 | 0 | 0 | 1 | 3 | 6 | 1 | 0.368 | 0.400 | 0.368 | 0.768 | 0.438 | 0.0% | 0.0% | 0.0% | 5.0% | 15.0% | 80.0% |
Clayton Beeter | NYY | 3 | 15 | 14 | 2 | 4 | 2 | 0 | 0 | 1 | 5 | 2 | 1 | 0.286 | 0.333 | 0.429 | 0.762 | 0.444 | 13.3% | 50.0% | 0.0% | 6.7% | 33.3% | 60.0% |
Scott Effross | NYY | 3 | 14 | 12 | 2 | 3 | 0 | 0 | 1 | 2 | 2 | 5 | 0 | 0.250 | 0.357 | 0.500 | 0.857 | 0.222 | 7.1% | 33.3% | 7.1% | 14.3% | 14.3% | 64.3% |
Anthony Misiewicz | NYY | 1 | 6 | 5 | 0 | 2 | 0 | 0 | 0 | 1 | 1 | 0 | 2 | 0.400 | 0.500 | 0.400 | 0.900 | 0.500 | 0.0% | 0.0% | 0.0% | 16.7% | 16.7% | 66.7% |
Clayton Andrews | NYY | 1 | 3 | 2 | 1 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0.500 | 0.667 | 2.000 | 2.667 | 0.000 | 33.3% | 100.0% | 33.3% | 0.0% | 33.3% | 0.0% |
How These Stats Benefit Baseball Bettors, DFS Contest Participants, and Fantasy Baseball Players
The new Advanced MLB Player Stats and Analytics provide a valuable resource for baseball bettors, DFS participants, and fantasy baseball players by giving you a more accurate and comprehensive understanding of player performance.
For sports bettors, these stats can help you identify underperforming players, predict potential matchups, and evaluate trends that may not be obvious in traditional stats. Whether you're focusing on a team’s offensive power or analyzing a pitcher’s FIP to assess their true skill level, these metrics provide critical insights that can shape your betting strategy.
For DFS players, the ability to drill down into advanced stats like wOBA, strikeout rates, and batting averages against pitchers gives you a competitive edge when selecting players. Understanding a hitter's ability to perform against specific types of pitchers or how a pitcher performs in different game conditions can be the difference between winning and losing.
Finally, fantasy baseball managers can use these advanced stats to evaluate players based on their overall offensive and defensive contributions. Whether you’re looking for the next breakout hitter or the most reliable starting pitcher, StatSharp’s new analytics allow you to make data-driven decisions and maximize your fantasy league’s success.
Conclusion
At StatSharp, we’re committed to providing you with the most detailed and actionable sports statistics available, and our new Advanced MLB Player Stats and Sabermetric Analytics feature is a game-changer. With hundreds of stats and metrics to explore, and the ability to filter and sort by game conditions, season archives, and various other criteria, you now have a comprehensive toolbox to enhance your baseball analysis.
Whether you're a bettor, DFS player, or fantasy baseball enthusiast, this new feature is designed to give you the edge you need. Start exploring the new MLB player statistics today and elevate your baseball experience to new heights. StatSharp is here to help you stay ahead of the curve with the most powerful data available—so you can make smarter decisions, maximize your winnings, and achieve greater success in the world of baseball analytics.