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 | AVG | OBP | SLG | OPS | OPS+ | K% | BB% | SB% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 67501 | ๐บ๐ณ Scott SPARROW | Leeds Locos ๐ฌ๐ง | ๐ฌ๐ง Division 3 - 2024 | 1 | 1 | 1 | 0 | .000 | .000 | .000 | .000 | -100 | 0.0% | 0.0% | - |
| 67502 | ๐บ๐ณ Nick WINKEL | Hoofddorp Pioniers ๐ณ๐ฑ | ๐ณ๐ฑ Lucky Day Hoofdklasse - 2021 | 1 | 1 | 1 | 0 | .000 | .000 | .000 | .000 | -100 | 100.0% | 0.0% | - |
| 67503 | ๐บ๐ณ Charlotte MEERT | Mont-Saint-Guibert Phoenix ๐ง๐ช | ๐ง๐ช Baseball D1 - 2022 | 1 | 1 | 1 | 0 | .000 | .000 | .000 | .000 | -100 | 0.0% | 0.0% | - |
| 67504 | ๐บ๐ณ Sam ALCOCK | Brighton Aces ๐ฌ๐ง | ๐ฌ๐ง Division 4 - 2026 | 1 | 1 | 1 | 1 | 1.000 | 1.000 | 1.000 | 2.000 | 268 | 0.0% | 0.0% | 100.0% |
| 67505 | ๐บ๐ณ Chad STONER | Mont-Saint-Guibert Phoenix ๐ง๐ช | ๐ง๐ช Baseball D1 - 2022 | 1 | 1 | 1 | 1 | 1.000 | 1.000 | 2.000 | 3.000 | 698 | 0.0% | 0.0% | - |
| 67506 | ๐บ๐ณ Sam ALCOCK | Brighton Jets ๐ฌ๐ง | ๐ฌ๐ง Division 4 - 2023 | 1 | 1 | 1 | 1 | 1.000 | 1.000 | 1.000 | 2.000 | 290 | 0.0% | 0.0% | - |
| 67507 | ๐บ๐ณ Femke VAN HOFWEGEN | Beveren Lions ๐ง๐ช | ๐ง๐ช Softball Ladies D1 - 2022 | 1 | 1 | 1 | 0 | .000 | .000 | .000 | .000 | -100 | 0.0% | 0.0% | - |
| 67508 | ๐บ๐ณ Christopher Pietro VILLA | MILANO 1946 ๐ฎ๐น | ๐ฎ๐น Serie B Baseball - 2023 | 1 | 1 | 1 | 1 | 1.000 | 1.000 | 1.000 | 2.000 | 449 | 0.0% | 0.0% | - |
| 67509 | ๐บ๐ณ Riugino JONIS | Santa Rosa Indians ๐จ๐ผ | ๐จ๐ผ Curaรงao National Championship AA - 2022 | 1 | 1 | 0 | 0 | - | 1.000 | - | - | - | 0.0% | 100.0% | - |
| 67510 | ๐บ๐ณ Giacomo Junior POLANCO MARCANTONIO | A.S.D. NETTUNO 2 B.C. ๐ฎ๐น | ๐ฎ๐น Serie A Gold Baseball - 2023 | 1 | 1 | 1 | 0 | .000 | .000 | .000 | .000 | -100 | 0.0% | 0.0% | - |
| 67511 | ๐บ๐ณ Davide SMANIOTTO | PADOVA BSC ๐ฎ๐น | ๐ฎ๐น Serie A Gold Baseball - 2023 | 1 | 1 | 1 | 0 | .000 | .000 | .000 | .000 | -100 | 0.0% | 0.0% | - |
| 67512 | ๐บ๐ณ Lars WERKMAN | RCH Memorie Sieraden ๐ณ๐ฑ | ๐ณ๐ฑ Lucky Day Hoofdklasse - 2022 | 1 | 1 | 1 | 0 | .000 | .000 | .000 | .000 | -100 | 0.0% | 0.0% | - |
| 67513 | ๐บ๐ณ Mattia GIARDINI | NEW RIMINI ๐ฎ๐น | ๐ฎ๐น Serie A Gold Baseball - 2022 | 1 | 1 | 1 | 0 | .000 | .000 | .000 | .000 | -100 | 0.0% | 0.0% | - |
| 67514 | ๐บ๐ณ Roderick BERNADINA | Curaรงao ๐จ๐ผ | ๐ณ๐ฑ Honkbalweek Haarlem - 2022 | 1 | 1 | 1 | 0 | .000 | .000 | .000 | .000 | -100 | 100.0% | 0.0% | - |
| 67515 | ๐บ๐ณ Filippo LAGHI | CRAL ENRICO MATTEI A.S.D. ๐ฎ๐น | ๐ฎ๐น Serie B Baseball - 2020 | 2 | 1 | 1 | 0 | .000 | .000 | .000 | .000 | -100 | 100.0% | 0.0% | - |
| 67516 | ๐บ๐ณ Lรกzaro Alfred CEDEรO GONZALEZ | Cuba ๐จ๐บ | ๐ณ๐ฑ Honkbalweek Haarlem - 2022 | 1 | 1 | 1 | 1 | 1.000 | 1.000 | 1.000 | 2.000 | 585 | 0.0% | 0.0% | - |
| 67517 | ๐บ๐ณ Ariel PESTANO ROSADO | Cuba ๐จ๐บ | ๐ณ๐ฑ Honkbalweek Haarlem - 2022 | 1 | 1 | 1 | 0 | .000 | .000 | .000 | .000 | -100 | 100.0% | 0.0% | - |
| 67518 | ๐บ๐ณ Nadine AKKERMAN | Onze Gezellen ๐ณ๐ฑ | ๐ณ๐ฑ Hoofdklasse Softbal - 2023 | 1 | 1 | 1 | 0 | .000 | .000 | .000 | .000 | -100 | 0.0% | 0.0% | - |
| 67519 | ๐บ๐ณ Giovanni Eduardo RAMรญREZ SANTOS | San Inazio Bilbao Bizkaia ๐ช๐ธ | ๐ช๐ธ Liga Nacional de Bรฉisbol Divisiรณn de Honor Oro - 2023 | 1 | 1 | 1 | 0 | .000 | .000 | .000 | .000 | -100 | 100.0% | 0.0% | - |
| 67520 | ๐บ๐ณ Sergio Cestarelli | NETTUNO BASEBALL CITY ๐ฎ๐น | ๐ฎ๐น Serie A Gold Baseball - 2019 | 1 | 1 | 1 | 0 | .000 | .000 | .000 | .000 | -100 | 100.0% | 0.0% | - |
| 67521 | ๐บ๐ณ Renske CATSBURG | Olympia Haarlem ๐ณ๐ฑ | ๐ณ๐ฑ Hoofdklasse Softbal - 2023 | 1 | 1 | 1 | 0 | .000 | .000 | .000 | .000 | -100 | 0.0% | 0.0% | - |
| 67522 | ๐บ๐ณ Zach AGNOS | United States ๐บ๐ธ | ๐ณ๐ฑ Honkbalweek Haarlem - 2022 | 1 | 1 | 1 | 0 | .000 | .000 | .000 | .000 | -100 | 0.0% | 0.0% | - |
| 67523 | ๐บ๐ณ Janssens YANA | Hoboken Pioneers ๐ง๐ช | ๐ง๐ช Softball Ladies D3 - 2023 | 1 | 1 | 1 | 1 | 1.000 | 1.000 | 4.000 | 5.000 | 817 | 0.0% | 0.0% | - |
| 67524 | ๐บ๐ณ Matteo PADOVANI | TECNOVAP DYNOS VERONA SOFTBALL ๐ฎ๐น | ๐ฎ๐น Serie B Baseball - 2021 | 1 | 1 | 1 | 0 | .000 | .000 | .000 | .000 | -100 | 100.0% | 0.0% | - |
| 67525 | ๐บ๐ณ Giacomo MAZZONI | CIEMME OLTRETORRENTE ๐ฎ๐น | ๐ฎ๐น Serie A Gold Baseball - 2025 | 1 | 1 | 1 | 0 | .000 | .000 | .000 | .000 | -100 | 100.0% | 0.0% | - |
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.