Batting Statistics
View batting statistics across tournaments
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| # | Player | Team | G | PA | AB | H | AVG | OBP | SLG | OPS |
|---|---|---|---|---|---|---|---|---|---|---|
| 401 | 🇺🇸 Danika Woodland | Thundercats | 4 | 6 | 3 | 0 | .000 | .500 | .000 | .000 |
| 402 | 🇨🇺 Yoel Yanqui | Cuba | 3 | 6 | 3 | 0 | .000 | .500 | .000 | .000 |
| 403 | 🇨🇦 Jared Young | Canada | 2 | 6 | 6 | 1 | .167 | .167 | .167 | .333 |
| 404 | 🇺🇸 Eron Borja | Straight Smoke | 3 | 5 | 5 | 1 | .200 | .200 | .200 | .400 |
| 405 | 🇺🇳 Wallace Clark | Great Britain | 2 | 5 | 3 | 0 | .000 | .400 | .000 | .000 |
| 406 | 🇬🇧 Katie Cooper | Bulldogs | 4 | 5 | 5 | 0 | .000 | .000 | .000 | .000 |
| 407 | 🇳🇱 Merel Cramer | DNT Ladies | 2 | 5 | 4 | 3 | .750 | .600 | .750 | 1.500 |
| 408 | 🇦🇷 Dayson Croes | Netherlands | 3 | 5 | 5 | 0 | .000 | .000 | .000 | .000 |
| 409 | 🇺🇸 Bryan Dann | FSU | 2 | 5 | 5 | 3 | .600 | .600 | .800 | 1.400 |
| 410 | 🇺🇸 Jose Escalera | FSU | 2 | 5 | 5 | 4 | .800 | .800 | 1.400 | 2.200 |
| 411 | 🇨🇿 Kateřina Fritscheová | UCE Travellers | 3 | 5 | 4 | 0 | .000 | .200 | .000 | .000 |
| 412 | 🇵🇷 Pedro GarcÃa | Detroit Tigers | 2 | 5 | 5 | 1 | .200 | .200 | .200 | .400 |
| 413 | 🇺🇳 Erik González | Dominican Republic | 2 | 5 | 5 | 2 | .400 | .400 | .800 | 1.200 |
| 414 | 🇧🇷 Enzo Hayashida | Brazil | 3 | 5 | 5 | 0 | .000 | .000 | .000 | .000 |
| 415 | 🇺🇸 Bruce Kimm | Detroit Tigers | 2 | 5 | 4 | 1 | .250 | .400 | .250 | .500 |
| 416 | 🇺🇸 Kimberly Landon | Lady Rams | 3 | 5 | 5 | 1 | .200 | .200 | .200 | .400 |
| 417 | 🇻🇪 BenjamÃn Machin | Astros | 2 | 5 | 5 | 2 | .400 | .400 | .600 | 1.000 |
| 418 | 🇻🇪 Ruben Manriquez | Swiss Toros | 2 | 5 | 5 | 2 | .400 | .400 | .600 | 1.000 |
| 419 | 🇺🇸 Jim Mason | New York Yankees | 2 | 5 | 5 | 0 | .000 | .000 | .000 | .000 |
| 420 | 🇨🇿 Jan Pospisil | Czechia | 4 | 5 | 4 | 0 | .000 | .000 | .000 | .000 |
| 421 | 🇨🇺 Juremi Profar | Netherlands | 2 | 5 | 5 | 2 | .400 | .400 | .400 | .800 |
| 422 | 🇳🇮 Ronald Rivera | Nicaragua | 2 | 5 | 4 | 0 | .000 | .200 | .000 | .000 |
| 423 | 🇲🇽 Aurelio RodrÃguez | Detroit Tigers | 2 | 5 | 5 | 2 | .400 | .400 | 1.000 | 1.400 |
| 424 | 🇵🇦 Jhonny Santos | Panama | 2 | 5 | 5 | 0 | .000 | .000 | .000 | .000 |
| 425 | 🇬🇧 Tracy Sharpe | Bratz | 4 | 5 | 2 | 1 | .500 | .800 | .500 | 1.000 |
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.