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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
  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.
Additionally, toggle between standard and advanced hitting or pitching metrics to get a complete view of any player's performance across all aspects of the game.

 

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
  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
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.