Ontario Convention Center - Hall A & B - Ontario, 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 | HWANG Jayden | - | - | - | 3% | 16% | 40% | 41% |
| 2 | LI Howard | - | - | - | 1% | 6% | 31% | 63% |
| 3 | ANDRES Michael | - | - | - | 1% | 9% | 35% | 54% |
| 3 | KOVALEV Daniil N. | - | - | - | - | 3% | 28% | 69% |
| 5 | YANG Phillip | - | - | 5% | 21% | 41% | 28% | 5% |
| 6 | TSE Aiden J | - | - | - | 3% | 17% | 42% | 39% |
| 7 | LI AYDEN | - | - | 1% | 7% | 24% | 41% | 26% |
| 8 | XIAO Brayden | - | - | 3% | 20% | 43% | 29% | 4% |
| 9 | KANG Matthew | - | - | - | 4% | 20% | 45% | 30% |
| 10 | IYER Neil | - | 2% | 12% | 30% | 34% | 17% | 3% |
| 11 | BRIMMER Robert (Trey) | - | 1% | 6% | 22% | 37% | 27% | 6% |
| 12 | KIM seoha | - | - | - | - | 7% | 35% | 58% |
| 13 | TANG Morgan | - | 1% | 6% | 20% | 35% | 29% | 9% |
| 14 | CHAMBERS Miles | - | - | - | 1% | 9% | 36% | 53% |
| 15 | CHAN Henry | - | - | 2% | 15% | 40% | 36% | 7% |
| 16 | XIAO haoyu | 1% | 8% | 37% | 39% | 14% | 1% | - |
| 17 | LI linze | - | - | - | 2% | 15% | 48% | 35% |
| 17 | CAO Donald | - | 2% | 12% | 31% | 36% | 17% | 2% |
| 19 | KANG Jeremy | - | - | - | 2% | 17% | 48% | 33% |
| 20 | GREENSTEIN Viktor | - | - | 4% | 17% | 37% | 33% | 9% |
| 21 | BEKDJANOV Arthur | - | 3% | 14% | 31% | 33% | 16% | 3% |
| 22 | ARISTOV Ilya | - | - | 1% | 6% | 25% | 45% | 24% |
| 23 | BURRES kenneth | - | 2% | 10% | 27% | 35% | 22% | 5% |
| 24 | WANG Tiger | - | 1% | 6% | 21% | 35% | 29% | 9% |
| 25 | TANI Tino | - | - | 1% | 9% | 28% | 40% | 21% |
| 26 | CHI Everett | - | 6% | 22% | 36% | 27% | 9% | 1% |
| 27 | CRICOL Damian | - | - | 3% | 15% | 33% | 35% | 13% |
| 28 | RONG Jasper | - | 2% | 11% | 28% | 34% | 20% | 4% |
| 29 | LIU Yijin | 1% | 8% | 26% | 35% | 22% | 7% | 1% |
| 30 | LI Yidong A. | - | - | 3% | 13% | 31% | 36% | 16% |
| 31 | WANG Edward | 2% | 17% | 36% | 31% | 12% | 2% | - |
| 32 | ZHANG KAIQI | 2% | 12% | 31% | 35% | 18% | 4% | - |
| 33 | SANCHEZ Jacob | - | - | 3% | 15% | 34% | 35% | 12% |
| 34 | WINTERSET Mason | 2% | 13% | 31% | 33% | 17% | 4% | - |
| 35 | MA Oliver | - | - | 1% | 6% | 23% | 42% | 28% |
| 36 | MINASIAN Mason | - | 5% | 19% | 34% | 29% | 11% | 2% |
| 37 | YUEN Caleb | - | 3% | 15% | 34% | 34% | 13% | 2% |
| 38 | CHEN Cooper | 2% | 11% | 27% | 33% | 21% | 6% | 1% |
| 39 | HO Alden | 2% | 13% | 30% | 33% | 18% | 4% | - |
| 40 | LEE Nathan Uju | - | 3% | 14% | 31% | 33% | 16% | 2% |
| 41 | CHUNG Vincenzo | 1% | 14% | 36% | 34% | 13% | 2% | - |
| 42 | BURRES stuart | 4% | 20% | 34% | 28% | 11% | 2% | - |
| 43 | YPHANTIDES Alexander | - | 4% | 18% | 33% | 30% | 13% | 2% |
| 44 | LI Ryan | 1% | 10% | 31% | 37% | 18% | 3% | - |
| 45 | HWANG Hagan | - | - | 1% | 9% | 35% | 46% | 9% |
| 46 | LIU Daniel | 7% | 28% | 37% | 21% | 6% | 1% | - |
| 47 | DANIELSON Charlie | - | 2% | 14% | 32% | 35% | 15% | 2% |
| 47 | KOVACHEV Martin | 2% | 11% | 27% | 34% | 21% | 6% | - |
| 47 | CHEN Boaz | 3% | 18% | 36% | 31% | 11% | 1% | - |
| 50 | IM Tyler | - | 2% | 9% | 25% | 36% | 24% | 5% |
| 51 | KIM Eric | - | 3% | 18% | 42% | 29% | 7% | - |
| 52 | BAERENWALD Tybalt Wolfram | - | 4% | 18% | 33% | 30% | 13% | 2% |
| 53 | BAGGA Shray | - | 2% | 15% | 36% | 34% | 11% | 1% |
| 54 | WONG Hawken | - | 3% | 14% | 33% | 34% | 14% | 1% |
| 55 | HAO Johnny | - | 3% | 17% | 35% | 32% | 12% | 1% |
| 56 | BRUM Charles E. | 3% | 15% | 31% | 32% | 16% | 4% | - |
| 57 | ZHANG Richard Y. | 16% | 38% | 32% | 12% | 2% | - | - |
| 58 | WONG Ron | 4% | 19% | 33% | 29% | 13% | 3% | - |
| 59 | SOULES-ONO Makoa | 21% | 42% | 27% | 8% | 1% | - | - |
| 60 | LUC Linkin | - | 3% | 16% | 33% | 32% | 14% | 2% |
| 61 | KROON Landon | 1% | 6% | 21% | 34% | 28% | 10% | 1% |
| 62 | LEE Brian | 1% | 19% | 36% | 29% | 12% | 2% | - |
| 63 | CHOI LIAM | 1% | 10% | 30% | 36% | 18% | 4% | - |
| 64 | LI Philip | 9% | 32% | 37% | 18% | 4% | - | - |
| 65 | ZHAO Aidan | 1% | 7% | 27% | 41% | 21% | 3% | - |
| 66 | LIANG Preston | 6% | 23% | 35% | 25% | 9% | 2% | - |
| 67 | FU BRANDEN | 3% | 21% | 37% | 28% | 9% | 1% | - |
| 68 | SLIGAR Jackson | - | 2% | 11% | 28% | 36% | 20% | 4% |
| 69 | PARK Emerson | 19% | 38% | 29% | 11% | 2% | - | - |
| 70 | WANG David | 3% | 21% | 37% | 28% | 10% | 1% | - |
| 71 | LO Lei | 3% | 18% | 34% | 29% | 12% | 3% | - |
| 71 | LEE Bill King | 6% | 32% | 42% | 17% | 2% | - | - |
| 73 | FISCHER Noel | 1% | 13% | 32% | 34% | 17% | 4% | - |
| 74 | QI Jeremy | 2% | 11% | 28% | 33% | 20% | 5% | - |
| 75 | HRISTOV Nickolas | - | 2% | 10% | 28% | 36% | 20% | 4% |
| 76 | HAN Kyle | - | 8% | 28% | 38% | 21% | 4% | - |
| 77 | LEE Winston | 1% | 10% | 28% | 34% | 20% | 6% | 1% |
| 78 | CHEN Brian | 1% | 16% | 37% | 32% | 12% | 1% | - |
| 79 | GONG Yubo (Justin) | 26% | 42% | 25% | 7% | 1% | - | - |
| 79 | NGUYEN Ethan | 13% | 41% | 36% | 9% | 1% | - | - |
| 81 | BELTRAN REYES Gael Alejandro | 59% | 34% | 6% | 1% | - | - | - |
| 82 | LIU Ryan | 24% | 43% | 25% | 6% | 1% | - | - |
| 83 | CHOW Tyson J. | 5% | 21% | 35% | 27% | 11% | 2% | - |
| 84 | GU Dean | 15% | 38% | 32% | 12% | 2% | - | - |
| 85 | CHEN Aaron | 21% | 40% | 28% | 9% | 1% | - | - |
| 85 | WU Dawei | 22% | 39% | 28% | 10% | 2% | - | - |
| 87 | WARD Carter | 19% | 39% | 29% | 10% | 2% | - | - |
| 88 | GUO Youwei | 2% | 12% | 29% | 34% | 19% | 5% | - |
| 89 | WANG Daniel | 1% | 13% | 33% | 34% | 15% | 3% | - |
| 90 | FLORES Mateo Pakal | 76% | 22% | 2% | - | - | - | - |
| 91 | GUO Jonathan | 10% | 44% | 35% | 10% | 1% | - | - |
| 91 | CHIANG Tyson | 20% | 38% | 29% | 11% | 2% | - | - |
| 93 | GRIFFIN Sid | 15% | 37% | 32% | 13% | 3% | - | - |
| 93 | COOK Ridgely | 47% | 41% | 11% | 1% | - | - | - |
| 93 | CHEUNG Evan | 12% | 35% | 34% | 15% | 3% | - | - |
| 96 | LEE Alexander | 56% | 35% | 8% | 1% | - | - | - |
| 97 | BRADIC Andreja | 61% | 32% | 6% | 1% | - | - | - |
| 97 | TAN Ivan | 81% | 18% | 2% | - | - | - | - |
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.