Batting Statistics
View batting statistics across tournaments
Shows statistics for a single round (e.g. Regular season or Playoffs). Choose one tournament in the filters to see its rounds โ otherwise only โAll Roundsโ (everything combined) is available.
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| # | Player | Team | Edition | G | PA | AB | H | ISO | BABIP | K% | BB% | HR/PA | XBH% | SecA | RC | SBR | wOBA | wRC+ | oWAR | oWAR/600 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1826 | ๐บ๐ณ Jose Luis GOMEZ RAGUSA | FIORENTINA BASEBALL E SOFTBALL ๐ฎ๐น | ๐ฎ๐น Serie B Baseball - 2023 | 28 | 132 | 96 | 34 | .156 | .344 | 3.8% | 24.2% | .023 | 6.8% | .490 | 25.3 | +3.0 | .448 | 166 | 2.3 | 10.4 |
| 1827 | ๐บ๐ณ Lluis BรกDENAS | CBS Barcelona ๐ช๐ธ | ๐ช๐ธ Liga Nacional de Bรฉisbol Divisiรณn de Honor Oro - 2024 | 29 | 132 | 100 | 26 | .060 | .333 | 17.4% | 16.7% | .000 | 3.0% | .280 | 12.6 | -0.9 | .339 | 104 | 0.4 | 2.0 |
| 1828 | ๐บ๐ณ Tobias WERNER | Traiskirchen Grasshoppers ๐ฆ๐น | ๐ฆ๐น Baseball Bundesliga - 2025 | 28 | 132 | 103 | 42 | .320 | .424 | 10.6% | 16.7% | .045 | 14.4% | .534 | 38.4 | +2.1 | .515 | 195 | 2.9 | 13.0 |
| 1829 | ๐บ๐ณ Milagros Jose LOZADA LAGO | SARONNO SOFTBALL ๐ฎ๐น | ๐ฎ๐น Serie A1 Softball - 2022 | 35 | 132 | 111 | 48 | .226 | .457 | 9.8% | 13.6% | .038 | 10.6% | .387 | 37.3 | +0.0 | .494 | 205 | 2.7 | 12.3 |
| 1830 | ๐บ๐ณ Milagros Jose LOZADA LAGO | SARONNO SOFTBALL ๐ฎ๐น | ๐ฎ๐น Serie A1 Softball - 2023 | 38 | 132 | 114 | 47 | .246 | .420 | 6.8% | 12.9% | .038 | 12.1% | .395 | 36.6 | +1.5 | .486 | 221 | 3.1 | 13.9 |
| 1831 | ๐บ๐ณ Dinet OOSTING | Tex Town Tigers ๐ณ๐ฑ | ๐ณ๐ฑ Hoofdklasse Softbal - 2026 | 38 | 132 | 111 | 49 | .208 | .434 | 2.3% | 14.4% | .023 | 12.1% | .378 | 37.7 | -0.6 | .496 | 194 | 2.4 | 10.9 |
| 1832 | ๐จ๐บ Frank HERNANDEZ RUIZ | Tenerife Marlins ๐ช๐ธ | ๐ช๐ธ Liga Nacional de Bรฉisbol Divisiรณn de Honor Oro - 2026 | 27 | 132 | 110 | 46 | .273 | .404 | 5.3% | 10.6% | .045 | 12.9% | .400 | 36.8 | +0.6 | .497 | 179 | 2.2 | 10.1 |
| 1833 | ๐บ๐ณ Felix DITTRICH | Vienna Metrostars ๐ฆ๐น | ๐ฆ๐น Baseball Bundesliga - 2026 | 28 | 132 | 106 | 32 | .179 | .350 | 18.2% | 14.4% | .030 | 8.3% | .358 | 20.8 | +0.0 | .394 | 133 | 1.0 | 4.4 |
| 1834 | ๐บ๐ณ Eoghan MC GARRY | Diving Ducks Wiener Neustadt ๐ฆ๐น | ๐ฆ๐น Baseball Bundesliga - 2023 | 32 | 132 | 115 | 36 | .157 | .371 | 18.9% | 6.8% | .023 | 7.6% | .235 | 19.6 | +2.4 | .367 | 116 | 1.0 | 4.7 |
| 1835 | ๐บ๐ณ Ilaria CACCIAMANI | ITALPOSA FORLIโ ๐ฎ๐น | ๐ฎ๐น Serie A1 Softball - 2024 | 37 | 132 | 113 | 45 | .195 | .412 | 6.8% | 12.9% | .023 | 9.8% | .345 | 32.0 | -0.6 | .454 | 177 | 1.9 | 8.4 |
| 1836 | ๐จ๐ฟ Martin ฤERVINKA | Draci Brno ๐จ๐ฟ | ๐จ๐ฟ Extraliga - 2023 | 33 | 132 | 112 | 27 | .045 | .302 | 18.9% | 9.1% | .008 | 2.3% | .152 | 10.1 | +0.0 | .288 | 86 | 0.2 | 0.8 |
| 1837 | ๐บ๐ณ Gilberto BORGHI | UNIPOL FORTITUDO BOLOGNA ๐ฎ๐น | ๐ฎ๐น Serie A Gold Baseball - 2026 | 33 | 132 | 115 | 28 | .018 | .311 | 20.5% | 8.3% | .000 | 1.5% | .113 | 9.3 | - | .265 | 70 | -0.1 | -0.6 |
| 1838 | ๐บ๐ณ Maor Luca PASQUINI SWEED | BASEBALL S.C. GROSSETO 1952 S.S.D. A R.L. ๐ฎ๐น | ๐ฎ๐น Serie A Gold Baseball - 2023 | 42 | 132 | 120 | 26 | .083 | .321 | 31.8% | 5.3% | .000 | 6.1% | .142 | 9.4 | +0.3 | .241 | 60 | -0.2 | -0.8 |
| 1839 | ๐บ๐ณ Davide MARCHI | LONGBRIDGE 2000 BOLOGNA ๐ฎ๐น | ๐ฎ๐น Serie A Gold Baseball - 2021 | 26 | 132 | 118 | 30 | .043 | .319 | 18.9% | 6.1% | .000 | 3.0% | .110 | 10.6 | +1.8 | .280 | 87 | 0.2 | 0.7 |
| 1840 | ๐บ๐ณ Aldair DAAL | Santa Rosa Indians ๐จ๐ผ | ๐จ๐ผ Curaรงao National Championship AA - 2023 | 26 | 132 | 106 | 39 | .245 | .407 | 12.9% | 12.9% | .030 | 11.4% | .406 | 29.6 | +2.7 | .463 | 133 | 1.4 | 6.3 |
| 1841 | ๐บ๐ณ Francinel Francisco MARTINA | UNIPOL FORTITUDO BOLOGNA ๐ฎ๐น | ๐ฎ๐น Serie A Gold Baseball - 2024 | 37 | 132 | 110 | 35 | .182 | .349 | 15.2% | 13.6% | .038 | 6.8% | .345 | 22.8 | +1.2 | .400 | 160 | 1.4 | 6.4 |
| 1842 | ๐บ๐ณ Tashi-Phuntsok CLESSE | Mont-Saint-Guibert Phoenix ๐ง๐ช | ๐ง๐ช Baseball D1 - 2026 | 27 | 132 | 105 | 30 | .085 | .337 | 14.4% | 12.1% | .008 | 3.8% | .238 | 14.8 | +0.0 | .360 | 97 | 0.3 | 1.1 |
| 1843 | ๐บ๐ณ Exequiel Agustin TALEVI | PADOVA BSC ๐ฎ๐น | ๐ฎ๐น Serie A Gold Baseball - 2023 | 29 | 132 | 112 | 33 | .125 | .330 | 11.4% | 12.9% | .008 | 8.3% | .277 | 18.2 | +0.9 | .359 | 137 | 1.4 | 6.3 |
| 1844 | ๐บ๐ณ Ortwin Hose PIETERNELLA VARGAS | SAN MARINO ๐ฎ๐น | ๐ฎ๐น Serie A Gold Baseball - 2022 | 40 | 132 | 112 | 36 | .268 | .402 | 22.0% | 10.6% | .023 | 12.9% | .393 | 26.2 | +0.3 | .410 | 167 | 1.9 | 8.6 |
| 1845 | ๐บ๐ณ Jessie VAN AALST | Olympia Haarlem ๐ณ๐ฑ | ๐ณ๐ฑ Hoofdklasse Softbal - 2023 | 38 | 132 | 113 | 47 | .195 | .461 | 10.6% | 11.4% | .000 | 11.4% | .327 | 33.4 | +0.9 | .457 | 169 | 2.1 | 9.4 |
| 1846 | ๐บ๐ณ Alessandro VAGLIO | UNIPOL FORTITUDO BOLOGNA ๐ฎ๐น | ๐ฎ๐น Serie A Gold Baseball - 2019 | 31 | 132 | 104 | 33 | .145 | .333 | 10.6% | 12.1% | .023 | 6.8% | .298 | 19.6 | -0.3 | .390 | 140 | 1.2 | 5.6 |
| 1847 | ๐บ๐ณ Ortwin Hose PIETERNELLA VARGAS | SAN MARINO ๐ฎ๐น | ๐ฎ๐น Serie A Gold Baseball - 2024 | 41 | 132 | 112 | 33 | .205 | .330 | 16.7% | 9.1% | .030 | 9.8% | .312 | 20.3 | -1.2 | .372 | 142 | 1.3 | 5.8 |
| 1848 | ๐ง๐ช Julien MUYLDERMANS | Mont-Saint-Guibert Phoenix ๐ง๐ช | ๐ง๐ช Baseball D1 - 2025 | 30 | 132 | 96 | 22 | .115 | .292 | 17.4% | 17.4% | .008 | 6.1% | .354 | 12.5 | -0.6 | .363 | 97 | 0.2 | 1.0 |
| 1849 | ๐บ๐ณ Alessio LOLLO | White Sox Buttrio ๐ฎ๐น | ๐ฎ๐น Serie B Baseball - 2023 | 26 | 132 | 104 | 35 | .221 | .398 | 15.2% | 8.3% | .015 | 12.9% | .327 | 23.2 | +0.6 | .442 | 163 | 1.5 | 6.9 |
| 1850 | ๐บ๐ณ Mรกrio MIKLOVIฤ | Tลebรญฤ Nuclears ๐จ๐ฟ | ๐จ๐ฟ Extraliga U18 - 2025 | 32 | 132 | 101 | 43 | .158 | .472 | 9.1% | 18.2% | .008 | 9.1% | .396 | 31.6 | +2.7 | .486 | 149 | 1.9 | 8.8 |
Batting Charts
Top Batters by OPS
Shows the top 10 batters ranked by OPS (On-base Plus Slugging). OPS combines how often a batter reaches base (OBP) with their extra-base power (SLG). A higher OPS indicates a more productive batter overall.
Team Batting Comparison
Compares teams by three key batting rates: AVG (batting average โ hits per at-bat), OBP (on-base percentage โ how often batters reach base), and SLG (slugging โ total bases per at-bat). Higher values indicate better offensive performance.
Hit Distribution
Shows the breakdown of all hits by type: Singles (1B), Doubles (2B), Triples (3B), and Home Runs (HR). This reveals whether the offense relies on contact hitting or power hitting.
Plate Discipline
Each bubble is a batter (minimum 10 plate appearances), plotted by walk rate (BB%, horizontal) and strikeout rate (K%, vertical). A green dotted line marks the league-average BB% and a red dotted line marks the league-average K% for the current filter, slicing the plot into four quadrants. Dots are colored by quadrant: bright red = elite discipline (high BB%, low K%), orange = contact hitter (low BB%, low K%), teal = patient power (high BB%, high K%), deep blue = free swinger (low BB%, high K%). Bubble size reflects BABIP (batting average on balls in play) โ a large bubble far from the pack can flag a batter getting lucky or unlucky on balls in play.
Runs vs Hits
Compares each team's total hits, runs scored, and RBI (Runs Batted In). Teams with more runs than hits are efficient at converting hits into scoring. RBI shows how well batters drive in runners.
Batting Average by Inning
Tracks the overall batting average (hits divided by at-bats) across each inning. This reveals when batters tend to be most effective during a game.
Outcome Heatmap
Shows how often each plate appearance outcome occurs in each inning. Darker cells mean more occurrences. Outcomes include hits, walks, strikeouts, sacrifices, and other outs.