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 — otherwise only “All Rounds” (everything combined) is available.
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| # | Player | Team | Edition | G | PA | AB | H | AVG | OBP | SLG | OPS | OPS+ | K% | BB% | SB% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1626 | 🇲🇪 Joey Meneses | Mexico 🇲🇽 | 🇯🇵 🇵🇷 🇺🇸 World Baseball Classic - 2026 | 3 | 7 | 6 | 3 | .500 | .571 | .500 | 1.071 | 210 | 14.3% | 14.3% | - |
| 1627 | 🇳🇮 Benjamin Alegria | Nicaragua 🇳🇮 | 🇯🇵 🇵🇷 🇺🇸 World Baseball Classic - 2026 | 2 | 7 | 7 | 3 | .429 | .429 | .429 | .858 | 147 | 0.0% | 0.0% | - |
| 1628 | 🇵🇦 Johan Camargo | Panama 🇵🇦 | 🇯🇵 🇵🇷 🇺🇸 World Baseball Classic - 2026 | 2 | 7 | 7 | 1 | .143 | .143 | .143 | .286 | -18 | 28.6% | 0.0% | - |
| 1629 | 🇺🇳 | Nicaragua 🇳🇮 | 🇯🇵 🇵🇷 🇺🇸 World Baseball Classic - 2026 | 3 | 7 | 6 | 0 | .000 | .143 | .000 | .143 | -56 | 14.3% | 14.3% | - |
| 1630 | 🇺🇳 Luis Mujica | SOX TENERIFE 🇮🇨 | 🇮🇨 LIGA CANARIA DE SOFBOL MASTER +45 - 2026 | 2 | 7 | 6 | 3 | .500 | .571 | .833 | 1.404 | 207 | 14.3% | 14.3% | - |
| 1631 | 🇺🇳 Leonardo Figuera | AMIGOS DE TENERIFE 🇮🇨 | 🇮🇨 LIGA CANARIA DE SOFBOL MASTER +45 - 2026 | 3 | 7 | 7 | 3 | .429 | .429 | .857 | 1.286 | 176 | 0.0% | 0.0% | - |
| 1632 | 🇨🇴 Gillian Ashley WERNET | Tenerife Marlins Puerto Cruz (ESP) 🇪🇸 | 🇮🇨 Copa Cabildo de Tenerife de Béisbol - 2026 | 2 | 7 | 7 | 6 | .857 | .857 | 1.429 | 2.286 | 190 | 14.3% | 0.0% | 100.0% |
| 1633 | 🇮🇹 Andrea Perrón | Dodgers 🇮🇨 | 🇮🇨 U15 Summer League Baseball Tenerife - 2026 | 4 | 7 | 6 | 1 | .167 | .286 | .167 | .453 | -6 | 42.9% | 14.3% | - |
| 1634 | 🇺🇳 Jeremy Figue | Dodgers 🇮🇨 | 🇮🇨 U23 Summer League Baseball Tenerife - 2026 | 3 | 7 | 7 | 5 | .714 | .714 | .857 | 1.571 | 311 | 14.3% | 0.0% | - |
| 1635 | 🇻🇪 Wil Avariano | Astros 🇪🇸 | 🇪🇸 Worlds Slowpitch Championships Men - WSCM2026 | 2 | 6 | 5 | 1 | .200 | .167 | .400 | .567 | -21 | 0.0% | 0.0% | - |
| 1636 | 🇩🇴 Frankelyn Victorio | Astros 🇪🇸 | 🇪🇸 Worlds Slowpitch Championships Men - WSCM2026 | 3 | 6 | 6 | 4 | .667 | .667 | .667 | 1.334 | 101 | 16.7% | 0.0% | - |
| 1637 | 🇨🇺 José Goicochea | Astros 🇪🇸 | 🇪🇸 Worlds Slowpitch Championships Men - WSCM2026 | 3 | 6 | 6 | 6 | 1.000 | 1.000 | 1.500 | 2.500 | 262 | 0.0% | 0.0% | - |
| 1638 | 🇺🇸 Clayton Kenty | Straight Smoke 🇺🇸 | 🇪🇸 Worlds Slowpitch Championships Men - WSCM2026 | 3 | 6 | 4 | 0 | .000 | .167 | .000 | .167 | -70 | 0.0% | 16.7% | - |
| 1639 | 🇵🇦 Jorge Dieguez | Swiss Toros 🇨🇭 | 🇪🇸 Worlds Slowpitch Championships Men - WSCM2026 | 2 | 6 | 6 | 4 | .667 | .667 | 1.667 | 2.334 | 222 | 0.0% | 0.0% | - |
| 1640 | 🇬🇧 Jake Elmy | Swiss Toros 🇨🇭 | 🇪🇸 Worlds Slowpitch Championships Men - WSCM2026 | 2 | 6 | 5 | 2 | .400 | .333 | 1.200 | 1.533 | 106 | 0.0% | 0.0% | - |
| 1641 | 🇨🇦 François Henry | Swiss Toros 🇨🇭 | 🇪🇸 Worlds Slowpitch Championships Men - WSCM2026 | 2 | 6 | 5 | 3 | .600 | .667 | .600 | 1.267 | 93 | 0.0% | 16.7% | - |
| 1642 | 🇩🇴 Henry Paulino | Swiss Toros 🇨🇭 | 🇪🇸 Worlds Slowpitch Championships Men - WSCM2026 | 2 | 6 | 6 | 2 | .333 | .333 | .500 | .833 | 21 | 0.0% | 0.0% | - |
| 1643 | 🇻🇪 Efrain Deyan | Swiss Toros 🇨🇭 | 🇪🇸 Worlds Slowpitch Championships Men - WSCM2026 | 2 | 6 | 4 | 3 | .750 | .833 | 1.250 | 2.083 | 202 | 0.0% | 33.3% | - |
| 1644 | 🇻🇪 Gabriel Di Sabatino | Swiss Toros 🇨🇭 | 🇪🇸 Worlds Slowpitch Championships Men - WSCM2026 | 2 | 6 | 6 | 2 | .333 | .333 | .500 | .833 | 21 | 0.0% | 0.0% | - |
| 1645 | 🇬🇧 Matt Tomlin | Pyros 🇬🇧 | 🇪🇸 Worlds Slowpitch Championships Men - WSCM2026 | 3 | 6 | 5 | 3 | .600 | .667 | .800 | 1.467 | 117 | 0.0% | 16.7% | - |
| 1646 | 🇺🇸 Marc Arvizu-Avila | FSU 🇺🇸 | 🇪🇸 Worlds Slowpitch Championships Men - WSCM2026 | 2 | 6 | 5 | 2 | .400 | .500 | .600 | 1.100 | 63 | 0.0% | 16.7% | - |
| 1647 | 🇺🇸 Jason Parker | FSU 🇺🇸 | 🇪🇸 Worlds Slowpitch Championships Men - WSCM2026 | 2 | 6 | 4 | 3 | .750 | .833 | 1.500 | 2.333 | 232 | 0.0% | 33.3% | - |
| 1648 | 🇺🇸 Michael Luing | FSU 🇺🇸 | 🇪🇸 Worlds Slowpitch Championships Men - WSCM2026 | 2 | 6 | 6 | 4 | .667 | .667 | 1.167 | 1.834 | 162 | 0.0% | 0.0% | - |
| 1649 | 🇺🇸 Lane Hiser | FSU 🇺🇸 | 🇪🇸 Worlds Slowpitch Championships Men - WSCM2026 | 2 | 6 | 5 | 3 | .600 | .667 | 1.200 | 1.867 | 166 | 0.0% | 16.7% | - |
| 1650 | 🇺🇸 Anthony Bedell | FSU 🇺🇸 | 🇪🇸 Worlds Slowpitch Championships Men - WSCM2026 | 2 | 6 | 5 | 1 | .200 | .333 | .200 | .533 | -16 | 0.0% | 16.7% | - |
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 — hits per at-bat), OBP (on-base percentage — how often batters reach base), and SLG (slugging — 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) — 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.