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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 58551 | ๐บ๐ณ JAKOBSEN, Jens | Denmark Old Stars ๐ฉ๐ฐ | ๐ช๐บ Men's Softball European Masters Cup - 2024 | 4 | 5 | 4 | 1 | .000 | .250 | 0.0% | 0.0% | .000 | 0.0% | .000 | 0.2 | - | .221 | 84 | 0.0 | - |
| 58552 | ๐บ๐ณ COWES, Norman | Sant Adriร Mambas ๐ช๐ธ | ๐ช๐บ Men's Softball European Masters Cup - 2024 | 4 | 5 | 5 | 0 | .000 | .000 | 40.0% | 0.0% | .000 | 0.0% | .000 | 0.0 | - | .000 | -111 | -0.1 | - |
| 58553 | ๐บ๐ณ MORAVEC, Pavel | SC United Prague (CZE) ๐จ๐ฟ | ๐ช๐บ Men's Softball European Masters Cup - 2024 | 2 | 5 | 4 | 2 | .000 | .667 | 20.0% | 0.0% | .000 | 0.0% | .000 | 1.0 | - | .442 | 279 | 0.1 | - |
| 58554 | ๐บ๐ณ BRAVO, Fernando Alcides | IS COPY JUNIOR ALPINA ๐ฎ๐น | ๐ช๐บ Men's Softball European Masters Cup - 2023 | 3 | 5 | 4 | 2 | .500 | .400 | 0.0% | 0.0% | .000 | 20.0% | .500 | 2.0 | - | .490 | 140 | 0.1 | - |
| 58555 | ๐บ๐ณ HOLMBERG, Martin | Denmark Old Stars ๐ฉ๐ฐ | ๐ช๐บ Men's Softball European Masters Cup - 2024 | 2 | 5 | 5 | 1 | .200 | .250 | 20.0% | 0.0% | .000 | 20.0% | .200 | 0.4 | - | .249 | 109 | 0.0 | - |
| 58556 | ๐บ๐ณ BรRTรK, Vilรฉm | Zagreb Giants Softball (CRO) ๐ญ๐ท | ๐ช๐บ Menโs Softball European Super Cup - 2022 | 4 | 5 | 5 | 0 | .000 | .000 | 60.0% | 0.0% | .000 | 0.0% | .000 | 0.0 | - | .000 | -66 | -0.1 | - |
| 58557 | ๐บ๐ณ LARSEN, Anton | Hรธrsholm Von Holmbรคck Hurricanes ๐ฉ๐ฐ | ๐ช๐บ Menโs Softball European Super Cup - 2024 | 7 | 5 | 3 | 0 | .000 | .000 | 40.0% | 0.0% | .000 | 0.0% | .000 | 0.0 | +1.2 | .180 | 28 | 0.1 | - |
| 58558 | ๐บ๐ณ PREININGER, Daniel | Prague United (CZE) ๐จ๐ฟ | ๐ช๐บ Men's Softball European Masters Cup - 2023 | 3 | 5 | 5 | 0 | .000 | .000 | 20.0% | 0.0% | .000 | 0.0% | .000 | 0.0 | -0.6 | .000 | -41 | -0.2 | - |
| 58559 | ๐บ๐ณ PAZDERA, David | Locos Bลeclav ๐จ๐ฟ | ๐ช๐บ Menโs Softball European Super Cup - 2022 | 2 | 5 | 5 | 2 | .200 | .667 | 40.0% | 0.0% | .000 | 20.0% | .200 | 1.2 | - | .425 | 152 | 0.1 | - |
| 58560 | ๐บ๐ณ OBRSAL, Vojtech | Czechia ๐จ๐ฟ | ๐ช๐บ Menโs Softball European Super Cup - 2024 | 3 | 5 | 5 | 0 | .000 | - | 100.0% | 0.0% | .000 | 0.0% | .000 | 0.0 | - | .000 | -72 | -0.1 | - |
| 58561 | ๐บ๐ณ WIRTH, Andrea Daniela | Suisse Team ๐จ๐ญ | ๐ช๐บ Women's Softball European Masters Cup - 2024 | 2 | 5 | 3 | 1 | .000 | .333 | 0.0% | 40.0% | .000 | 0.0% | .667 | 0.6 | - | .453 | 151 | 0.0 | - |
| 58562 | ๐บ๐ณ MALร, Jan | Amager Vikings (DEN) ๐ฉ๐ฐ | ๐ช๐บ Menโs Softball European Super Cup - 2024 | 4 | 5 | 5 | 0 | .000 | - | 100.0% | 0.0% | .000 | 0.0% | .000 | 0.0 | +0.3 | .000 | -72 | -0.1 | - |
| 58563 | ๐บ๐ณ POKORNร, David | Zagreb Giants Softball (CRO) ๐ญ๐ท | ๐ช๐บ Menโs Softball European Super Cup - 2022 | 3 | 5 | 4 | 0 | .000 | .000 | 60.0% | 20.0% | .000 | 0.0% | .250 | 0.0 | - | .138 | 5 | -0.1 | - |
| 58564 | ๐บ๐ณ HENZL, David | Hippos ๐จ๐ฟ | ๐ช๐บ Menโs Softball European Super Cup - 2024 | 2 | 5 | 5 | 1 | .000 | .250 | 20.0% | 0.0% | .000 | 0.0% | .000 | 0.2 | - | .177 | 26 | -0.0 | - |
| 58565 | ๐บ๐ณ KELLY-MURPHY, Jacqueline Ann | PEI Sluggers (CAN) ๐จ๐ฆ | ๐ช๐บ Women's Softball European Masters Cup - 2024 | 2 | 5 | 4 | 0 | .000 | .000 | 60.0% | 20.0% | .000 | 0.0% | .250 | 0.0 | - | .138 | 10 | -0.1 | - |
| 58566 | ๐บ๐ณ SVEJDA, Vit | Spectrum Praha (CZE) ๐จ๐ฟ | ๐ช๐บ Menโs Softball European Super Cup - 2023 | 3 | 5 | 5 | 0 | .000 | .000 | 40.0% | 0.0% | .000 | 0.0% | .000 | 0.0 | - | .000 | -68 | -0.2 | - |
| 58567 | ๐บ๐ณ CROS, Anthony | Montpellier Barracudas ๐ซ๐ท | ๐ช๐บ Menโs Softball European Super Cup - 2024 | 3 | 5 | 4 | 1 | .000 | .500 | 40.0% | 20.0% | .000 | 0.0% | .250 | 0.4 | - | .315 | 103 | -0.0 | - |
| 58568 | ๐บ๐ณ LATOMรKI, Elise | Finland ๐ซ๐ฎ | ๐ช๐บ Womenโs Softball European Championship - 2024 | 4 | 5 | 3 | 0 | .000 | - | 60.0% | 40.0% | .000 | 0.0% | .667 | 0.0 | - | .276 | 74 | -0.0 | - |
| 58569 | ๐บ๐ณ THOMPSON, Jenna | Great Britain ๐ฌ๐ง | ๐ช๐บ Womenโs Softball European Championship - 2024 | 3 | 5 | 3 | 0 | .000 | .000 | 20.0% | 40.0% | .000 | 0.0% | .667 | 0.0 | - | .276 | 74 | -0.0 | - |
| 58570 | ๐บ๐ณ DIMITRIJEVIฤ, Lisabella Lee | Croatia ๐ญ๐ท | ๐ช๐บ Womenโs Softball European Championship - 2024 | 4 | 5 | 4 | 2 | .000 | .667 | 20.0% | 20.0% | .000 | 0.0% | .250 | 1.2 | - | .491 | 191 | 0.1 | - |
| 58571 | ๐บ๐ณ STOYANOVA, Nadezhda | Bulgaria ๐ง๐ฌ | ๐ช๐บ Womenโs Softball European Championship - 2021 | 3 | 5 | 3 | 0 | .000 | .000 | 40.0% | 40.0% | .000 | 0.0% | .667 | 0.0 | - | .276 | 71 | -0.0 | - |
| 58572 | ๐บ๐ณ MISFUD, Joanne | Malta ๐ฒ๐น | ๐ช๐บ Womenโs Softball European Championship - 2024 | 3 | 5 | 5 | 0 | .000 | .000 | 40.0% | 0.0% | .000 | 0.0% | .000 | 0.0 | - | .000 | -76 | -0.1 | - |
| 58573 | ๐บ๐ณ RUDYK, Klaudia | Poland ๐ต๐ฑ | ๐ช๐บ Womenโs Softball European Championship - 2024 | 3 | 5 | 5 | 3 | .000 | .600 | 0.0% | 0.0% | .000 | 0.0% | .000 | 1.8 | -0.6 | .530 | 212 | 0.1 | - |
| 58574 | ๐บ๐ณ LUKIN, Ihor | CNTU-OSDYSSOR-Gorn (UKR) ๐บ๐ฆ | ๐ช๐บ Baseball European Federation Cup Qualifier - 2023 | 2 | 5 | 5 | 2 | .400 | .400 | 0.0% | 0.0% | .000 | 40.0% | .400 | 1.6 | - | .498 | 192 | 0.1 | - |
| 58575 | ๐บ๐ณ NEOPHYTOU, Paul James | Greece ๐ฌ๐ท | ๐ช๐บ Baseball European Championship - 2021 | 1 | 5 | 4 | 1 | .000 | .250 | 0.0% | 0.0% | .000 | 0.0% | .000 | 0.2 | - | .321 | 93 | 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.