Logo and QR code
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https://diamondcore.app/teams/3372/
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 | ISO | BABIP | K% | BB% | HR/PA | XBH% | SecA | RC | SBR | wOBA | wRC+ | oWAR | oWAR/600 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 🇺🇳 AKAMINE, Mayra Sayumi | Brazil 🇧🇷 | 🇺🇳 XI Campeonato Panamericano de Softbol Femenino - 2025 | 10 | 35 | 34 | 13 | .206 | .429 | 14.3% | 2.9% | .029 | 8.6% | .235 | 8.0 | - | .419 | 189 | 0.4 | 7.3 |
| 2 | 🇺🇳 PEREIRA, Mariana Ribeiro | Brazil 🇧🇷 | 🇺🇳 XI Campeonato Panamericano de Softbol Femenino - 2025 | 10 | 33 | 30 | 10 | .100 | .385 | 12.1% | 6.1% | .000 | 6.1% | .167 | 4.9 | -0.6 | .363 | 150 | 0.3 | 5.5 |
| 3 | 🇺🇳 TANAKA, Samira Mari | Brazil 🇧🇷 | 🇺🇳 XI Campeonato Panamericano de Softbol Femenino - 2025 | 10 | 32 | 31 | 9 | .000 | .310 | 6.2% | 3.1% | .000 | 0.0% | .032 | 2.8 | - | .270 | 86 | 0.1 | 1.3 |
| 4 | 🇺🇳 MITO, Caroline Ayumi | Brazil 🇧🇷 | 🇺🇳 XI Campeonato Panamericano de Softbol Femenino - 2025 | 11 | 32 | 26 | 10 | .077 | .455 | 12.5% | 3.1% | .000 | 6.2% | .115 | 4.9 | -1.2 | .392 | 170 | 0.2 | 4.0 |
| 5 | 🇺🇳 LUZ, Gabriela Mit | Brazil 🇧🇷 | 🇺🇳 XI Campeonato Panamericano de Softbol Femenino - 2025 | 11 | 31 | 31 | 8 | .000 | .296 | 12.9% | 0.0% | .000 | 0.0% | .000 | 2.1 | +0.3 | .228 | 57 | -0.1 | -1.3 |
| 6 | 🇺🇳 WOLL, Barbara | Brazil 🇧🇷 | 🇺🇳 XI Campeonato Panamericano de Softbol Femenino - 2025 | 11 | 31 | 25 | 3 | .040 | .150 | 16.1% | 9.7% | .000 | 3.2% | .160 | 0.9 | - | .181 | 24 | -0.2 | -3.1 |
| 7 | 🇺🇳 COFFEY, Gabrielle | Brazil 🇧🇷 | 🇺🇳 XI Campeonato Panamericano de Softbol Femenino - 2025 | 10 | 29 | 17 | 1 | .059 | .111 | 27.6% | 27.6% | .000 | 3.4% | .529 | 0.7 | - | .333 | 129 | 0.2 | 4.0 |
| 8 | 🇺🇳 NARAZAKI, Bárbara | Brazil 🇧🇷 | 🇺🇳 XI Campeonato Panamericano de Softbol Femenino - 2025 | 10 | 28 | 23 | 5 | .087 | .250 | 10.7% | 3.6% | .000 | 7.1% | .130 | 1.8 | - | .243 | 67 | 0.0 | 0.7 |
| 9 | 🇺🇳 NARAZAKI, Beatriz | Brazil 🇧🇷 | 🇺🇳 XI Campeonato Panamericano de Softbol Femenino - 2025 | 9 | 24 | 21 | 4 | .048 | .235 | 16.7% | 4.2% | .000 | 4.2% | .095 | 1.1 | - | .231 | 59 | -0.0 | -0.5 |
| 10 | 🇺🇳 MASCAI COUTINHO, Victor Hugo | Brazil 🇧🇷 | 🇺🇳 XIX Pan American Games - Santiago 2023 - Men's Bas - 2023 | 6 | 23 | 22 | 7 | .137 | .333 | 13.0% | 0.0% | .043 | 4.3% | .136 | 3.2 | - | .332 | 108 | 0.2 | 5.1 |
| 11 | 🇺🇳 FRIGO, Ariel Angelo | Brazil 🇧🇷 | 🇺🇳 XIX Pan American Games - Santiago 2023 - Men's Bas - 2023 | 5 | 20 | 19 | 2 | .000 | .133 | 20.0% | 0.0% | .000 | 0.0% | .000 | 0.2 | - | .093 | -43 | -0.3 | -9.3 |
| 12 | 🇺🇳 ORLANDO, Paulo Roberto | Brazil 🇧🇷 | 🇺🇳 XIX Pan American Games - Santiago 2023 - Men's Bas - 2023 | 6 | 20 | 18 | 3 | .055 | .273 | 35.0% | 0.0% | .000 | 5.0% | .056 | 0.7 | - | .196 | 22 | -0.1 | -3.9 |
| 13 | 🇺🇳 ROJO SAMPER OLLER, Lucas | Brazil 🇧🇷 | 🇺🇳 XIX Pan American Games - Santiago 2023 - Men's Bas - 2023 | 6 | 19 | 16 | 4 | .062 | .308 | 15.8% | 5.3% | .000 | 5.3% | .125 | 1.5 | - | .270 | 69 | -0.2 | - |
| 14 | 🇺🇳 SORNAS, Bryan Alvarez | Brazil 🇧🇷 | 🇺🇳 XV Campeonato Panamericano Sub-18 | U-18 Pan Ameri - 2024 | 6 | 19 | 14 | 2 | .000 | .400 | 47.4% | 21.1% | .000 | 0.0% | .286 | 0.7 | - | .276 | 99 | -0.0 | - |
| 15 | 🇺🇳 MURAKAMI, Fabio Yudi | Brazil 🇧🇷 | 🇺🇳 XIX Pan American Games - Santiago 2023 - Men's Bas - 2023 | 6 | 18 | 15 | 6 | .067 | .429 | 5.6% | 5.6% | .000 | 5.6% | .133 | 3.1 | - | .397 | 149 | 0.2 | - |
| 16 | 🇺🇳 OKADA, Gustavo Yuji Kitamura | Brazil 🇧🇷 | 🇺🇳 XV Campeonato Panamericano Sub-18 | U-18 Pan Ameri - 2024 | 5 | 18 | 13 | 2 | .000 | .167 | 5.6% | 16.7% | .000 | 0.0% | .231 | 0.6 | +0.3 | .293 | 109 | 0.1 | - |
| 17 | 🇺🇳 DE OKUDA E SILVA, Pedro Ivo | Brazil 🇧🇷 | 🇺🇳 XIX Pan American Games - Santiago 2023 - Men's Bas - 2023 | 5 | 17 | 14 | 5 | .072 | .500 | 23.5% | 11.8% | .000 | 5.9% | .214 | 2.6 | - | .385 | 142 | 0.1 | - |
| 18 | 🇺🇳 HAYASHIDA, Enzo Shiniti Valente | Brazil 🇧🇷 | 🇺🇳 XV Campeonato Panamericano Sub-18 | U-18 Pan Ameri - 2024 | 6 | 17 | 11 | 3 | .000 | .333 | 11.8% | 23.5% | .000 | 0.0% | .364 | 1.4 | -0.6 | .383 | 163 | -0.1 | - |
| 19 | 🇺🇳 MIZUKOSI, Felipe Mitsuro | Brazil 🇧🇷 | 🇺🇳 XIX Pan American Games - Santiago 2023 - Men's Bas - 2023 | 6 | 16 | 13 | 3 | .000 | .273 | 18.8% | 12.5% | .000 | 0.0% | .154 | 1.0 | - | .252 | 58 | -0.1 | - |
| 20 | 🇺🇳 TAKAHASHI, Noah Ribeiro | Brazil 🇧🇷 | 🇺🇳 XV Campeonato Panamericano Sub-18 | U-18 Pan Ameri - 2024 | 5 | 16 | 11 | 3 | .000 | .375 | 18.8% | 6.2% | .000 | 0.0% | .091 | 1.0 | -0.6 | .341 | 138 | 0.1 | - |
| 21 | 🇺🇳 DO CARMO BARROS, Gabriel | Brazil 🇧🇷 | 🇺🇳 XIX Pan American Games - Santiago 2023 - Men's Bas - 2023 | 5 | 15 | 12 | 1 | .000 | .111 | 20.0% | 6.7% | .000 | 0.0% | .083 | 0.2 | - | .164 | 2 | -0.1 | - |
| 22 | 🇺🇳 KOBA, Salomon Shindi | Brazil 🇧🇷 | 🇺🇳 XIX Pan American Games - Santiago 2023 - Men's Bas - 2023 | 5 | 15 | 14 | 4 | .000 | .364 | 20.0% | 6.7% | .000 | 0.0% | .071 | 1.3 | - | .281 | 76 | 0.0 | - |
| 23 | 🇺🇳 SETAGAWA, Andre Kenzo | Brazil 🇧🇷 | 🇺🇳 XV Campeonato Panamericano Sub-18 | U-18 Pan Ameri - 2024 | 5 | 15 | 11 | 1 | .000 | .143 | 26.7% | 13.3% | .000 | 0.0% | .182 | 0.2 | - | .213 | 62 | -0.0 | - |
| 24 | 🇺🇳 URU, Lucas Takahashi | Brazil 🇧🇷 | 🇺🇳 XV Campeonato Panamericano Sub-18 | U-18 Pan Ameri - 2024 | 5 | 14 | 11 | 3 | .000 | .375 | 21.4% | 14.3% | .000 | 0.0% | .182 | 1.2 | - | .310 | 119 | 0.1 | - |
| 25 | 🇺🇳 DUBOVIK, Dylan de Souza | Brazil 🇧🇷 | 🇺🇳 XV Campeonato Panamericano Sub-18 | U-18 Pan Ameri - 2024 | 4 | 13 | 13 | 2 | .000 | .333 | 53.8% | 0.0% | .000 | 0.0% | .000 | 0.3 | - | .136 | 16 | -0.1 | - |
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.