The Round Rock Sports Center - Round Rock, TX, USA
Explore the pool victory probability density for each fencer, with their actual victories highlighted in a box. Learn more.
| # | Name | Number of victories | ||||||
|---|---|---|---|---|---|---|---|---|
| 0 | 1 | 2 | 3 | 4 | 5 | 6 | ||
| 1 | LI Howard | - | - | - | 1% | 7% | 32% | 60% |
| 2 | PINTO Marcus | - | - | 2% | 14% | 43% | 41% | |
| 3 | CLARK Aram | - | - | - | 1% | 10% | 38% | 50% |
| 3 | LI linze | - | 2% | 14% | 36% | 36% | 11% | |
| 5 | TANI Tino | - | - | 2% | 9% | 27% | 40% | 22% |
| 6 | CHAMBERS Miles | - | 1% | 9% | 39% | 51% | ||
| 7 | LEE Brady | - | 2% | 11% | 29% | 35% | 19% | 3% |
| 8 | KANG Jeremy | - | - | 3% | 16% | 39% | 35% | 8% |
| 9 | LI AYDEN | - | - | 2% | 12% | 31% | 38% | 17% |
| 10 | LI Yidong A. | - | 2% | 11% | 29% | 35% | 19% | 3% |
| 11 | GU Andrew | - | 1% | 7% | 22% | 36% | 27% | 7% |
| 12 | XIAO Brayden | - | - | 7% | 35% | 44% | 14% | |
| 13 | NARDINI Nathanael P. | - | - | 4% | 21% | 43% | 31% | |
| 14 | HWANG Jayden | - | - | - | 4% | 19% | 41% | 35% |
| 15 | DAI Zihou | - | - | 3% | 16% | 37% | 34% | 10% |
| 16 | WANG Tiger | - | 12% | 41% | 38% | 8% | ||
| 17 | ANDRES Michael | - | - | - | 3% | 19% | 43% | 34% |
| 18 | BOSITA Brennan | 1% | 13% | 37% | 35% | 13% | 2% | - |
| 19 | YOOK Isaac | - | 4% | 19% | 39% | 30% | 8% | |
| 20 | KANG Matthew | - | 1% | 7% | 25% | 41% | 25% | |
| 21 | KITSON Chase | - | 12% | 41% | 38% | 9% | ||
| 22 | YU BOWEN | - | - | 4% | 18% | 38% | 31% | 8% |
| 23 | WANG Alex | 2% | 16% | 34% | 31% | 14% | 3% | - |
| 24 | HWANG Hagan | - | 1% | 8% | 24% | 36% | 25% | 6% |
| 25 | MEADE Liam Robert | 3% | 19% | 37% | 29% | 9% | 1% | - |
| 26 | SASSI Ilyas | 2% | 14% | 33% | 33% | 15% | 2% | |
| 27 | KROON Landon | - | 1% | 14% | 41% | 35% | 8% | |
| 28 | CAO Donald | - | 4% | 18% | 33% | 30% | 13% | 2% |
| 29 | WONG Ron | 4% | 31% | 41% | 20% | 4% | - | - |
| 30 | OLSON Kai | 2% | 16% | 34% | 31% | 14% | 3% | - |
| 31 | LIU Yijin | 1% | 7% | 25% | 37% | 25% | 6% | |
| 32 | AZADPOUR Arvin | 5% | 45% | 39% | 10% | 1% | ||
| 33 | NAMBIAR Navin | 32% | 42% | 21% | 5% | 1% | - | |
| 34 | ZHU Alexander | 18% | 37% | 30% | 12% | 3% | - | - |
| 35 | TANG Morgan | 1% | 8% | 26% | 36% | 23% | 6% | 1% |
| 36 | BAERENWALD Tybalt Wolfram | - | 5% | 21% | 35% | 28% | 10% | 1% |
| 37 | SALMAN Hamzah | 1% | 6% | 21% | 34% | 28% | 10% | 1% |
| 38 | BAI Evan | - | 1% | 6% | 24% | 41% | 25% | 4% |
| 39 | LIANG Preston | 7% | 26% | 35% | 23% | 8% | 1% | - |
| 40 | BOLLU Viren | 15% | 38% | 33% | 11% | 2% | - | |
| 41 | TUNIK Joshuah | 1% | 15% | 49% | 29% | 6% | - | |
| 42 | ZHANG KAIQI | 1% | 10% | 27% | 34% | 21% | 6% | - |
| 43 | BRUM Charles E. | - | 1% | 6% | 22% | 37% | 27% | 7% |
| 44 | KIM Yusung | 29% | 42% | 22% | 6% | 1% | - | - |
| 45 | HAO Johnny | 1% | 6% | 20% | 34% | 28% | 10% | 1% |
| 46 | LI Ryan | 3% | 20% | 37% | 29% | 10% | 1% | - |
| 47 | WEI preston | 7% | 31% | 38% | 19% | 5% | 1% | - |
| 48 | GUO Jonathan | 46% | 39% | 13% | 2% | - | - | - |
| 49 | WOSTER Matthew (Mateo) | 1% | 8% | 25% | 34% | 23% | 7% | 1% |
| 50 | CHANG Timothy | 1% | 10% | 28% | 36% | 21% | 4% | |
| 51 | YUEN Caleb | 7% | 29% | 37% | 21% | 5% | - | |
| 52 | FRAZIER Jacob | 50% | 41% | 8% | - | - | - | |
| 53 | ZHAO Aidan | 17% | 40% | 32% | 10% | 1% | - | |
| 54 | OU Rigel | 2% | 17% | 36% | 31% | 12% | 2% | - |
| 55 | SONG Aidan | 1% | 10% | 26% | 34% | 22% | 6% | - |
| 56 | CHAVAN Aditya | - | 9% | 32% | 38% | 17% | 3% | - |
| 57 | PAN Asher | 38% | 42% | 17% | 3% | - | - | - |
| 58 | SO Dylan | 6% | 25% | 37% | 24% | 7% | 1% | - |
| 59 | THOTAKURA Sreyas | 26% | 54% | 18% | 2% | - | - | |
| 60 | RYU Andrew Junsang | 83% | 16% | 1% | - | - | ||
| 61 | WANG David | 4% | 25% | 39% | 24% | 6% | 1% | - |
| 62 | FU BRANDEN | 12% | 36% | 36% | 14% | 2% | - | |
| 63 | SO Morgan | < 1% | 4% | 19% | 34% | 29% | 11% | 2% |
| 64 | MAI Ryan | 78% | 20% | 2% | - | - | - | - |
| 65 | WU Yue | 59% | 33% | 7% | 1% | - | - | - |
The heatmap in this table provides a visual representation of the victory probability distribution for each fencer in their respective pools:
This heatmap visualization offers an immediate understanding of each fencer's expected performance compared to their actual results.