South Plainfield, NJ - South Plainfield, NJ, USA
Explore the probability of achieving at least a certain number of victories in the pool 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 | KIM Tei D. | 100% | 100% | 100% | 100% | 100% | 98% | 78% |
| 2 | BING Charles | 100% | 100% | 100% | 100% | 97% | 78% | 35% |
| 3 | LIANG Lixi (Henry) | 100% | 100% | 100% | 100% | 99% | 73% | |
| 3 | LI Richard | 100% | 100% | 100% | 100% | 98% | 85% | 46% |
| 5 | REZNICK Nicholas J. | 100% | 100% | 100% | 100% | 95% | 69% | 23% |
| 6 | KWON Ethan | 100% | 100% | 99% | 90% | 57% | 14% | |
| 7 | DOCTOR Aidan L. | 100% | 100% | 100% | 100% | 100% | 97% | 70% |
| 8 | PYO Michael M. | 100% | 100% | 96% | 78% | 41% | 9% | |
| 9 | BREIER Matthew F. | 100% | 100% | 100% | 100% | 98% | 84% | 43% |
| 10 | BAE Kevin | 100% | 100% | 100% | 94% | 67% | 27% | 4% |
| 11 | WU Alexander | 100% | 100% | 100% | 98% | 86% | 49% | 7% |
| 12 | LI Owen | 100% | 100% | 100% | 95% | 76% | 34% | |
| 13 | GEOGHEGAN Ronan | 100% | 100% | 100% | 98% | 88% | 55% | 13% |
| 14 | SONG Bryan | 100% | 100% | 95% | 74% | 34% | 7% | - |
| 15 | PO Oliver | 100% | 100% | 98% | 82% | 40% | 7% | |
| 16 | AHN Jun | 100% | 99% | 89% | 59% | 21% | 3% | |
| 17 | TORRES Treston | 100% | 99% | 90% | 64% | 28% | 5% | - |
| 18 | GOOR Julian | 100% | 100% | 100% | 98% | 81% | 43% | 9% |
| 19 | DOUGLAS Oscar M. | 100% | 100% | 100% | 98% | 81% | 39% | 7% |
| 20 | MENG Zhaoyi | 100% | 100% | 97% | 80% | 46% | 14% | 1% |
| 21 | LI Jinghua E. | 100% | 95% | 70% | 33% | 8% | 1% | - |
| 22 | RUSADZE Nickolas | 100% | 100% | 100% | 98% | 82% | 39% | |
| 23 | BROWN Alexander R. | 100% | 86% | 46% | 14% | 2% | - | |
| 24 | GUO Sean | 100% | 100% | 99% | 92% | 67% | 29% | 5% |
| 25 | TAHOUN Mostafa | 100% | 100% | 98% | 85% | 53% | 18% | 2% |
| 26 | MAGIDSON Josh | 100% | 100% | 93% | 69% | 32% | 7% | - |
| 27 | LI kevin | 100% | 100% | 96% | 81% | 49% | 16% | 1% |
| 28 | BELLUOMO David C. | 100% | 98% | 85% | 55% | 22% | 4% | - |
| 29 | BASAK Ashton R. | 100% | 97% | 80% | 48% | 17% | 3% | - |
| 30 | VALENTON Timothy | 100% | 90% | 53% | 16% | 2% | - | - |
| 31 | RADOSLAVOV Ivan-Asen | 100% | 95% | 69% | 31% | 7% | 1% | - |
| 32 | PITERBARG Maxim | 100% | 69% | 26% | 5% | - | - | |
| 33 | NAGER Noah | 100% | 100% | 100% | 100% | 96% | 74% | 28% |
| 34 | BOOTSMA Shane-Anson | 100% | 100% | 98% | 74% | 11% | - | |
| 35 | XIANG Derrick | 100% | 100% | 95% | 73% | 33% | 7% | - |
| 36 | HONG Issac | 100% | 98% | 85% | 51% | 16% | 2% | |
| 37 | LUAN Tian | 100% | 100% | 100% | 99% | 86% | 18% | |
| 38 | AUGUSTINE Aaron A. | 100% | 100% | 98% | 88% | 54% | 15% | 1% |
| 39 | TSIMIKLIS Yanni | 100% | 100% | 96% | 75% | 31% | 6% | - |
| 40 | SYOMICHEV Gleb A. | 100% | 100% | 99% | 91% | 62% | 24% | 3% |
| 41 | DAVIDSON Elliot | 100% | 94% | 60% | 21% | 4% | - | - |
| 42 | LONGENBACH Pharell J. | 100% | 97% | 67% | 15% | 1% | - | |
| 43 | TRUBETSKI David | 100% | 88% | 51% | 14% | 2% | - | |
| 44 | WANG Alex L. | 100% | 94% | 63% | 22% | 3% | - | - |
| 45 | LI Ayren | 100% | 98% | 78% | 30% | 5% | - | - |
| 46 | SVERDLOV Seth | 100% | 94% | 71% | 36% | 10% | 1% | - |
| 47 | BADLANI Dev | 100% | 90% | 46% | 10% | 1% | - | - |
| 49 | TING Clement | 100% | 88% | 36% | 4% | - | - | |
| 50 | WANG William | 100% | 88% | 46% | 10% | 1% | - | |
| 51 | HENRY Sean T. | 100% | 98% | 86% | 54% | 19% | 3% | - |
| 52 | ZHONG Guoren | 100% | 97% | 70% | 25% | 4% | - | - |
| 53 | DECORLETO III Andrew (Tripp) J. | 100% | 81% | 30% | 4% | - | - | - |
| 54 | RADTKE Jakob | 100% | 39% | 6% | - | - | - | - |
| 55 | LIGOS Alex M. | 100% | 57% | 16% | 2% | - | - | - |
| 56 | WANG mason | 100% | 88% | 57% | 23% | 5% | 1% | - |
| 57 | SANDHU LERNER Armaan S. | 100% | 30% | 3% | - | - | - | |
| 58 | GAO Payton | 100% | 61% | 18% | 3% | - | - | - |
| 59 | SONG Yanchen | 100% | 55% | 15% | 2% | - | - | - |
| 60 | VISHNEVSKY Aden | 100% | 47% | 8% | - | - | - | - |
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.