Batting Statistics
View batting statistics across tournaments
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| # | Player | Team | Edition | G | PA | AB | H | AVG | OBP | SLG | OPS | OPS+ |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 526 | 🇧🇷 Gabriel Gomes | 🇧🇷 Brazil | 🇺🇳 World Baseball Classic - 2026 | 2 | 6 | 5 | 0 | .000 | .167 | .000 | .167 | -49 |
| 527 | 🇦🇺 Robbie Glendinning | 🇦🇺 Australia | 🇺🇳 World Baseball Classic - 2026 | 3 | 6 | 5 | 2 | .400 | .500 | 1.000 | 1.500 | 322 |
| 528 | 🇺🇳 Taisei Makihara | 🇯🇵 Japan | 🇺🇳 World Baseball Classic - 2026 | 3 | 6 | 5 | 1 | .200 | .333 | .200 | .533 | 56 |
| 529 | 🇨🇺 Sharlon Schoop | 🇳🇱 Netherlands | 🇺🇳 World Baseball Classic - 2026 | 2 | 6 | 4 | 0 | .000 | .333 | .000 | .333 | 2 |
| 530 | 🇺🇸 Heather Foust | 🇬🇧 Bratz | 🇪🇸 Worlds Slowpitch Championships Women - WSCW2026 | 3 | 6 | 4 | 0 | .000 | .333 | .000 | .333 | -40 |
| 531 | 🇵🇦 Jonathan Araúz | 🇵🇦 Panama | 🇺🇳 World Baseball Classic - 2026 | 3 | 6 | 5 | 0 | .000 | .167 | .000 | .167 | -49 |
| 532 | 🇵🇦 Leonardo Jimenez | 🇵🇦 Panama | 🇺🇳 World Baseball Classic - 2026 | 2 | 6 | 5 | 0 | .000 | .167 | .000 | .167 | -49 |
| 533 | 🇵🇦 Rubén Tejada | 🇵🇦 Panama | 🇺🇳 World Baseball Classic - 2026 | 2 | 6 | 5 | 2 | .400 | .500 | .400 | .900 | 161 |
| 534 | 🇩🇪 Jana Wagschal | 🇩🇪 UCE Travellers | 🇪🇸 Worlds Slowpitch Championships Women - WSCW2026 | 4 | 6 | 6 | 2 | .333 | .333 | .333 | .667 | 7 |
| 535 | 🇺🇸 Mervyl Melendez | 🇵🇷 Puerto Rico | 🇺🇳 World Baseball Classic - 2026 | 3 | 6 | 4 | 0 | .000 | .333 | .000 | .333 | 2 |
| 536 | 🇺🇸 Erica Plaisance | 🇺🇸 Lady Rams | 🇪🇸 Worlds Slowpitch Championships Women - WSCW2026 | 3 | 6 | 5 | 3 | .600 | .500 | .800 | 1.300 | 104 |
| 537 | 🇺🇸 Ashlee Snow | 🇺🇸 Lady Rams | 🇪🇸 Worlds Slowpitch Championships Women - WSCW2026 | 3 | 6 | 4 | 2 | .500 | .500 | .500 | 1.000 | 61 |
| 538 | 🇬🇧 Charlotte Brown | 🇬🇧 Bulldogs | 🇪🇸 Worlds Slowpitch Championships Women - WSCW2026 | 3 | 6 | 5 | 1 | .200 | .333 | .200 | .533 | -12 |
| 539 | 🇺🇸 Danika Woodland | 🇪🇺 Thundercats | 🇪🇸 Worlds Slowpitch Championships Women - WSCW2026 | 4 | 6 | 3 | 0 | .000 | .500 | .000 | .500 | -10 |
| 540 | 🇺🇸 Edwardo Burdick | 🇺🇸 FSU | 🇪🇸 Worlds Slowpitch Championships Men - WSCM2026 | 2 | 6 | 6 | 4 | .667 | .667 | .667 | 1.333 | 101 |
| 541 | 🇺🇸 William Burroughs | 🇺🇸 FSU | 🇪🇸 Worlds Slowpitch Championships Men - WSCM2026 | 2 | 6 | 5 | 4 | .800 | .833 | .800 | 1.633 | 147 |
| 542 | 🇺🇸 Anthony Bedell | 🇺🇸 FSU | 🇪🇸 Worlds Slowpitch Championships Men - WSCM2026 | 2 | 6 | 5 | 1 | .200 | .333 | .200 | .533 | -16 |
| 543 | 🇺🇸 Lane Hiser | 🇺🇸 FSU | 🇪🇸 Worlds Slowpitch Championships Men - WSCM2026 | 2 | 6 | 5 | 3 | .600 | .667 | 1.200 | 1.867 | 166 |
| 544 | 🇺🇸 Michael Luing | 🇺🇸 FSU | 🇪🇸 Worlds Slowpitch Championships Men - WSCM2026 | 2 | 6 | 6 | 4 | .667 | .667 | 1.167 | 1.833 | 162 |
| 545 | 🇺🇸 Jason Parker | 🇺🇸 FSU | 🇪🇸 Worlds Slowpitch Championships Men - WSCM2026 | 2 | 6 | 4 | 3 | .750 | .833 | 1.500 | 2.333 | 232 |
| 546 | 🇺🇸 Marc Arvizu-Avila | 🇺🇸 FSU | 🇪🇸 Worlds Slowpitch Championships Men - WSCM2026 | 2 | 6 | 5 | 2 | .400 | .500 | .600 | 1.100 | 63 |
| 547 | 🇬🇧 Matt Tomlin | 🇬🇧 Pyros | 🇪🇸 Worlds Slowpitch Championships Men - WSCM2026 | 3 | 6 | 5 | 3 | .600 | .667 | .800 | 1.467 | 117 |
| 548 | 🇻🇪 Gabriel Di Sabatino | 🇨🇭 Swiss Toros | 🇪🇸 Worlds Slowpitch Championships Men - WSCM2026 | 2 | 6 | 6 | 2 | .333 | .333 | .500 | .833 | 21 |
| 549 | 🇻🇪 Efrain Deyan | 🇨🇭 Swiss Toros | 🇪🇸 Worlds Slowpitch Championships Men - WSCM2026 | 2 | 6 | 4 | 3 | .750 | .833 | 1.250 | 2.083 | 202 |
| 550 | 🇩🇴 Henry Paulino | 🇨🇭 Swiss Toros | 🇪🇸 Worlds Slowpitch Championships Men - WSCM2026 | 2 | 6 | 6 | 2 | .333 | .333 | .500 | .833 | 21 |
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.