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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 68201 | ๐บ๐ณ Giovanni BUIATTI | STARANZANO DUCKS ๐ฎ๐น | ๐ฎ๐น Serie B Baseball - 2025 | 1 | 1 | 1 | 0 | .000 | .000 | .000 | .000 | -100 | 0.0% | 0.0% | - |
| 68202 | ๐บ๐ณ Elรฉonore VAN HOVE | Leuven Twins ๐ง๐ช | ๐ง๐ช Baseball D3 - 2024 | 1 | 1 | 1 | 0 | .000 | .000 | .000 | .000 | -100 | 100.0% | 0.0% | - |
| 68203 | ๐บ๐ณ Francesco CARUSO | 1949 PARMA BASEBALL CLUB ๐ฎ๐น | ๐ฎ๐น Serie A Gold Baseball - 2019 | 1 | 1 | 1 | 0 | .000 | .000 | .000 | .000 | -100 | 100.0% | 0.0% | - |
| 68204 | ๐บ๐ณ Michel LEGRAND | Namur Angels ๐ง๐ช | ๐ง๐ช Baseball D2 - 2026 | 1 | 1 | 0 | 0 | - | 1.000 | - | - | - | 0.0% | 100.0% | - |
| 68205 | ๐บ๐ณ Gabriel HARRISON | Rouen Huskies ๐ซ๐ท | ๐ช๐บ Baseball European Cup - 2022 | 1 | 1 | 0 | 0 | - | 1.000 | - | - | - | 0.0% | 100.0% | - |
| 68206 | ๐บ๐ณ Carlotta HALLER | Dornbirn Indians ๐ฆ๐น | ๐ฆ๐น Softball Bundesliga - 2025 | 1 | 1 | 1 | 0 | .000 | .000 | .000 | .000 | -100 | 100.0% | 0.0% | - |
| 68207 | ๐บ๐ณ Marit JANSEN | Onze Gezellen ๐ณ๐ฑ | ๐ณ๐ฑ Hoofdklasse Softbal - 2023 | 2 | 1 | 1 | 1 | 1.000 | 1.000 | 3.000 | 4.000 | 928 | 0.0% | 0.0% | 100.0% |
| 68208 | ๐บ๐ณ Gleris Pigozzi Fierza | T-REX-CRAZY ๐ฎ๐น | ๐ฎ๐น Serie B Baseball - 2021 | 1 | 1 | 1 | 0 | .000 | .000 | .000 | .000 | -100 | 100.0% | 0.0% | - |
| 68209 | ๐บ๐ณ Diego SALVATORI | A.S.D. SAN LAZZARO '90 BASEBALL ๐ฎ๐น | ๐ฎ๐น Serie B Baseball - 2026 | 1 | 1 | 1 | 0 | .000 | .000 | .000 | .000 | -100 | 100.0% | 0.0% | - |
| 68210 | ๐ณ๐ฑ Gio DE GRAAUW | HCAW ๐ณ๐ฑ | ๐ณ๐ฑ Lucky Day Hoofdklasse - 2026 | 1 | 1 | 1 | 0 | .000 | .000 | .000 | .000 | -100 | 0.0% | 0.0% | - |
| 68211 | ๐ง๐ช Wout FRIJNS | Merchtem Cats ๐ง๐ช | ๐ง๐ช Softball Ladies D3 - 2026 | 1 | 1 | 1 | 1 | 1.000 | 1.000 | 4.000 | 5.000 | 828 | 0.0% | 0.0% | - |
| 68212 | ๐บ๐ณ Chris LOCKE | Guildford Gold Cats ๐ฌ๐ง | ๐ฌ๐ง Division 4 - 2022 | 1 | 1 | 1 | 0 | .000 | .000 | .000 | .000 | -100 | 0.0% | 0.0% | - |
| 68213 | ๐บ๐ณ Chris LOCKE | Guildford Gold Cats ๐ฌ๐ง | ๐ฌ๐ง Division 4 - 2023 | 1 | 1 | 0 | 0 | - | 1.000 | - | - | - | 0.0% | 100.0% | - |
| 68214 | ๐บ๐ณ Elรฉonore VAN HOVE | Brussels Kangaroos ๐ง๐ช | ๐ง๐ช Baseball D2 - 2023 | 1 | 1 | 1 | 0 | .000 | .000 | .000 | .000 | -100 | 100.0% | 0.0% | - |
| 68215 | ๐บ๐ณ Dave HEYLEN | Deurne Spartans ๐ง๐ช | ๐ง๐ช Softball Men Reserves - 2025 | 1 | 1 | 0 | 0 | - | 1.000 | - | - | - | 0.0% | 100.0% | - |
| 68216 | ๐บ๐ณ Loรฏc FLORU | Merchtem Cats ๐ง๐ช | ๐ง๐ช Softball Ladies D3 - 2023 | 1 | 1 | 0 | 0 | - | 1.000 | - | - | - | 0.0% | 0.0% | - |
| 68217 | ๐บ๐ณ Menno VAN DOMMELEN | UVV ๐ณ๐ฑ | ๐ณ๐ฑ Lucky Day Hoofdklasse - 2023 | 1 | 1 | 1 | 0 | .000 | .000 | .000 | .000 | -100 | 100.0% | 0.0% | - |
| 68218 | ๐บ๐ณ Dominik FANCHER | Kotlรกลka ๐จ๐ฟ | ๐จ๐ฟ Extraliga - 2025 | 1 | 1 | 1 | 0 | .000 | .000 | .000 | .000 | -100 | 100.0% | 0.0% | - |
| 68219 | ๐บ๐ณ Blu TOMBOY | Mont-Saint-Guibert Phoenix ๐ง๐ช | ๐ง๐ช Baseball D3 - 2025 | 1 | 1 | 1 | 0 | .000 | .000 | .000 | .000 | -100 | 0.0% | 0.0% | - |
| 68220 | ๐บ๐ณ Ethan ATTWOOD | London Capitals ๐ฌ๐ง | ๐ฌ๐ง National Baseball League - 2022 | 1 | 1 | 1 | 0 | .000 | .000 | .000 | .000 | -100 | 100.0% | 0.0% | - |
| 68221 | ๐บ๐ณ Blu TOMBOY | Mont-Saint-Guibert Phoenix ๐ง๐ช | ๐ง๐ช Baseball D4 - 2026 | 1 | 1 | 1 | 1 | 1.000 | 1.000 | 2.000 | 3.000 | 479 | 0.0% | 0.0% | - |
| 68222 | ๐บ๐ณ Margherita RICCI | FORLI' SOFTBALL ๐ฎ๐น | ๐ฎ๐น Serie A1 Softball - 2020 | 2 | 1 | 1 | 0 | .000 | .000 | .000 | .000 | -100 | 0.0% | 0.0% | - |
| 68223 | ๐บ๐ณ Riccardo RAVEGNANI | TORRE PEDRERA FALCONS ๐ฎ๐น | ๐ฎ๐น Serie A Gold Baseball - 2025 | 1 | 1 | 1 | 0 | .000 | .000 | .000 | .000 | -100 | 100.0% | 0.0% | - |
| 68224 | ๐บ๐ณ Indy VERBEEK | Tex Town Tigers ๐ณ๐ฑ | ๐ช๐บ Womenโs Softball European Cup - 2025 | 1 | 1 | 0 | 0 | - | - | - | - | - | 0.0% | 0.0% | - |
| 68225 | ๐บ๐ณ Giulia MONTI | FORLI' SOFTBALL ๐ฎ๐น | ๐ฎ๐น Serie A1 Softball - 2020 | 2 | 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.