Santa Clara Convention Center - Santa Clara, CA, 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 | TSE Aiden J | - | - | 4% | 25% | 55% | 15% | |
| 2 | LI Howard | - | - | - | 3% | 16% | 41% | 39% |
| 3 | ANDRES Michael | - | - | 1% | 7% | 29% | 45% | 19% |
| 3 | TANI Tino | - | 1% | 6% | 27% | 43% | 23% | |
| 5 | NARDINI Nathanael P. | - | - | 3% | 17% | 42% | 37% | |
| 6 | KANG Matthew | - | 2% | 11% | 32% | 39% | 16% | |
| 7 | XIAO Brayden | - | 1% | 11% | 32% | 37% | 16% | 2% |
| 8 | HWANG Jayden | - | - | 1% | 5% | 21% | 42% | 31% |
| 9 | YANG Phillip | - | - | 4% | 22% | 40% | 28% | 6% |
| 10 | CHEN Cooper | 5% | 24% | 39% | 25% | 7% | 1% | |
| 11 | HAO Johnny | 1% | 8% | 25% | 36% | 24% | 6% | |
| 12 | CHAN Henry | 1% | 9% | 25% | 35% | 24% | 6% | |
| 13 | KOVACHEV Martin | - | 4% | 31% | 41% | 20% | 4% | - |
| 14 | HWANG Hagan | - | 2% | 11% | 31% | 39% | 17% | |
| 15 | LI Yidong A. | 2% | 17% | 40% | 31% | 9% | 1% | |
| 16 | RONG Jasper | 1% | 7% | 23% | 35% | 27% | 8% | |
| 17 | KOVALEV Daniil N. | - | - | - | 1% | 11% | 39% | 49% |
| 18 | YU BOWEN | - | - | 7% | 30% | 43% | 18% | 2% |
| 19 | CAO Donald | - | 2% | 10% | 28% | 35% | 21% | 4% |
| 20 | KROON Landon | 2% | 13% | 30% | 33% | 18% | 4% | |
| 21 | XU Yixiao | - | - | - | 5% | 32% | 63% | |
| 22 | ZHAO Aidan | 5% | 30% | 38% | 20% | 5% | 1% | - |
| 23 | YU Ian | - | 2% | 13% | 30% | 34% | 17% | 3% |
| 24 | ARISTOV Ilya | - | 1% | 9% | 27% | 38% | 20% | 4% |
| 25 | WANG Tiger | - | 4% | 19% | 39% | 31% | 8% | |
| 26 | KANG Jeremy | - | 3% | 19% | 39% | 31% | 8% | |
| 27 | LIU Yijin | 2% | 14% | 31% | 33% | 16% | 3% | |
| 28 | ANUMULA Aryan | 2% | 12% | 29% | 33% | 19% | 5% | - |
| 29 | ZHANG KAIQI | 3% | 16% | 32% | 31% | 14% | 3% | - |
| 30 | IYER Neil | 1% | 8% | 24% | 35% | 25% | 7% | |
| 31 | TANG Morgan | - | 5% | 19% | 35% | 30% | 10% | |
| 32 | BRUM Charles E. | - | 1% | 10% | 33% | 40% | 16% | |
| 33 | SLIGAR Jackson | 1% | 6% | 24% | 39% | 26% | 5% | |
| 33 | CHEN Boaz | 6% | 25% | 36% | 24% | 8% | 1% | |
| 35 | LI Philip | 8% | 30% | 39% | 20% | 3% | - | |
| 36 | CRICOL Damian | - | - | 1% | 10% | 31% | 39% | 18% |
| 37 | KAYDALIN David | 2% | 12% | 29% | 34% | 19% | 4% | - |
| 38 | LEE Nathan Uju | 1% | 10% | 27% | 35% | 21% | 5% | |
| 39 | IM Tyler | - | 5% | 20% | 38% | 29% | 8% | |
| 40 | LIU Daniel | 7% | 27% | 38% | 22% | 6% | - | |
| 41 | DANG Kainoa | 10% | 34% | 37% | 16% | 3% | - | |
| 42 | WANG Edward | 9% | 31% | 39% | 18% | 3% | - | |
| 43 | WONG Hawken | - | 1% | 18% | 39% | 31% | 10% | 1% |
| 43 | LEE Brendan | 2% | 12% | 29% | 33% | 19% | 5% | - |
| 45 | LIU Nico | - | 5% | 20% | 35% | 28% | 10% | 1% |
| 45 | DAGUIO Derek | 12% | 43% | 33% | 10% | 1% | - | - |
| 47 | BAERENWALD Tybalt Wolfram | 1% | 9% | 27% | 35% | 22% | 6% | 1% |
| 48 | LI Allan | 4% | 19% | 35% | 29% | 12% | 2% | |
| 49 | LIANG Preston | 7% | 28% | 40% | 22% | 3% | - | |
| 50 | YUEN Caleb | 9% | 40% | 37% | 12% | 2% | - | |
| 51 | VAN ROY Ray | 59% | 34% | 7% | 1% | - | - | |
| 52 | ZHU Alexander | 21% | 39% | 28% | 10% | 2% | - | |
| 53 | WEI preston | 21% | 39% | 28% | 10% | 2% | - | |
| 54 | YUE Ivan | 19% | 40% | 30% | 10% | 1% | - | |
| 55 | PARK Emerson | - | 3% | 18% | 35% | 30% | 11% | 1% |
| 56 | LUNDGREN Theo | 38% | 52% | 9% | 1% | - | - | - |
| 57 | KANG Alan | 48% | 40% | 11% | 1% | - | - | - |
| 58 | WARD Carter | - | 6% | 25% | 41% | 24% | 5% | - |
| 59 | CHEN Brian | 20% | 42% | 29% | 8% | 1% | - | |
| 59 | VENKATRAMAN Sushil | 23% | 43% | 27% | 7% | - | - | |
| 61 | SOULES-ONO Makoa | 17% | 37% | 31% | 13% | 3% | - | - |
| 62 | MOORE Greyson | 30% | 43% | 22% | 5% | - | - | |
| 63 | FLORES Mateo Pakal | 46% | 47% | 7% | - | - | - | - |
| 64 | RYU Andrew Junsang | 57% | 34% | 8% | 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.