Batting Statistics
View batting statistics across tournaments
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| # | Player | Team | Edition | G | PA | AB | H | AVG | OBP | SLG | OPS | OPS+ |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 551 | 🇨🇦 François Henry | 🇨🇭 Swiss Toros | 🇪🇸 Worlds Slowpitch Championships Men - WSCM2026 | 2 | 6 | 5 | 3 | .600 | .667 | .600 | 1.267 | 93 |
| 552 | 🇬🇧 Jake Elmy | 🇨🇭 Swiss Toros | 🇪🇸 Worlds Slowpitch Championships Men - WSCM2026 | 2 | 6 | 5 | 2 | .400 | .333 | 1.200 | 1.533 | 106 |
| 553 | 🇵🇦 Jorge Dieguez | 🇨🇭 Swiss Toros | 🇪🇸 Worlds Slowpitch Championships Men - WSCM2026 | 2 | 6 | 6 | 4 | .667 | .667 | 1.667 | 2.333 | 222 |
| 554 | 🇺🇸 Clayton Kenty | 🇺🇸 Straight Smoke | 🇪🇸 Worlds Slowpitch Championships Men - WSCM2026 | 3 | 6 | 4 | 0 | .000 | .167 | .000 | .167 | -70 |
| 555 | 🇨🇴 Carlos Martínez | 🇨🇴 Colombia | 🇺🇳 World Baseball Classic - 2026 | 2 | 6 | 6 | 0 | .000 | .000 | .000 | .000 | -100 |
| 556 | 🇺🇸 Phillip Wyatt | 🇺🇸 Straight Smoke | 🇪🇸 Worlds Slowpitch Championships Men - WSCM2026 | 2 | 5 | 5 | 1 | .200 | .200 | .200 | .400 | -40 |
| 557 | 🇺🇸 Jose Escalera | 🇺🇸 FSU | 🇪🇸 Worlds Slowpitch Championships Men - WSCM2026 | 2 | 5 | 5 | 4 | .800 | .800 | 1.400 | 2.200 | 214 |
| 558 | 🇳🇱 Merel Cramer | 🇳🇱 DNT Ladies | 🇪🇸 Worlds Slowpitch Championships Women - WSCW2026 | 2 | 5 | 4 | 3 | .750 | .600 | .750 | 1.350 | 115 |
| 559 | 🇬🇧 Sian Wigington | 🇬🇧 Bratz | 🇪🇸 Worlds Slowpitch Championships Women - WSCW2026 | 3 | 5 | 4 | 0 | .000 | .200 | .000 | .200 | -64 |
| 560 | 🇨🇺 Juremi Profar | 🇳🇱 Netherlands | 🇺🇳 World Baseball Classic - 2026 | 2 | 5 | 5 | 2 | .400 | .400 | .400 | .800 | 130 |
| 561 | 🇺🇳 Domingo Perez | 🇮🇨 SOX TENERIFE | 🇮🇨 Copa Cabildo de Tenerife de Sofbol Master +45 - 2026 | 1 | 5 | 5 | 3 | .600 | .600 | .600 | 1.200 | 125 |
| 562 | 🇺🇳 Luis Mujica | 🇮🇨 SOX TENERIFE | 🇮🇨 Copa Cabildo de Tenerife de Sofbol Master +45 - 2026 | 1 | 5 | 3 | 1 | .333 | .600 | .667 | 1.267 | 136 |
| 563 | 🇳🇮 Ronald Rivera | 🇳🇮 Nicaragua | 🇺🇳 World Baseball Classic - 2026 | 2 | 5 | 4 | 0 | .000 | .200 | .000 | .200 | -39 |
| 564 | 🇦🇷 Dayson Croes | 🇳🇱 Netherlands | 🇺🇳 World Baseball Classic - 2026 | 3 | 5 | 5 | 0 | .000 | .000 | .000 | .000 | -100 |
| 565 | 🇺🇸 Kimberly Landon | 🇺🇸 Lady Rams | 🇪🇸 Worlds Slowpitch Championships Women - WSCW2026 | 3 | 5 | 5 | 1 | .200 | .200 | .200 | .400 | -36 |
| 566 | 🇺🇸 Eron Borja | 🇺🇸 Straight Smoke | 🇪🇸 Worlds Slowpitch Championships Men - WSCM2026 | 3 | 5 | 5 | 1 | .200 | .200 | .200 | .400 | -40 |
| 567 | 🇬🇧 Katie Cooper | 🇬🇧 Bulldogs | 🇪🇸 Worlds Slowpitch Championships Women - WSCW2026 | 4 | 5 | 5 | 0 | .000 | .000 | .000 | .000 | -100 |
| 568 | 🇨🇿 Jan Pospisil | 🇨🇿 Czechia | 🇺🇳 World Baseball Classic - 2026 | 4 | 5 | 4 | 0 | .000 | .000 | .000 | .000 | -100 |
| 569 | 🇺🇳 Wallace Clark | 🇬🇧 Great Britain | 🇺🇳 World Baseball Classic - 2026 | 2 | 5 | 3 | 0 | .000 | .400 | .000 | .400 | 23 |
| 570 | 🇵🇦 Jhonny Santos | 🇵🇦 Panama | 🇺🇳 World Baseball Classic - 2026 | 2 | 5 | 5 | 0 | .000 | .000 | .000 | .000 | -100 |
| 571 | 🇬🇧 Tracy Sharpe | 🇬🇧 Bratz | 🇪🇸 Worlds Slowpitch Championships Women - WSCW2026 | 4 | 5 | 2 | 1 | .500 | .800 | .500 | 1.300 | 115 |
| 572 | 🇺🇳 Guy Van Ham | 🇮🇨 SOX TENERIFE | 🇮🇨 Copa Cabildo de Tenerife de Sofbol Master +45 - 2026 | 1 | 5 | 4 | 3 | .750 | .800 | 1.250 | 2.050 | 276 |
| 573 | 🇻🇪 Benjamín Machin | 🇪🇸 Astros | 🇪🇸 Worlds Slowpitch Championships Men - WSCM2026 | 2 | 5 | 5 | 2 | .400 | .400 | .600 | 1.000 | 45 |
| 574 | 🇧🇷 Enzo Hayashida | 🇧🇷 Brazil | 🇺🇳 World Baseball Classic - 2026 | 3 | 5 | 5 | 0 | .000 | .000 | .000 | .000 | -100 |
| 575 | 🇻🇪 Ruben Manriquez | 🇨🇭 Swiss Toros | 🇪🇸 Worlds Slowpitch Championships Men - WSCM2026 | 2 | 5 | 5 | 2 | .400 | .400 | .600 | 1.000 | 45 |
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 represents a batter. The horizontal axis shows walk rate (BB%) and the vertical axis shows strikeout rate (K%). Batters in the bottom-right have the best discipline — high walks, low strikeouts. Bubble size reflects plate appearances.
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.