Academy of Fencing Masters - Sunnyvale, CA, 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 | LUCENAY Jean Michel | 100% | 100% | 100% | 100% | 95% | 72% | 28% |
| 2 | YAMASAKI Kyle | 100% | 100% | 100% | 100% | 100% | 96% | 71% |
| 3 | MENEGOLI Lorenzo | 100% | 100% | 100% | 99% | 90% | 46% | |
| 3 | LI Yunji (Rain) | 100% | 100% | 100% | 98% | 83% | 45% | 9% |
| 5 | KHAYAT Ziad | 100% | 100% | 100% | 100% | 98% | 75% | 25% |
| 6 | ALVAREZ Ian | 100% | 100% | 100% | 99% | 93% | 65% | 21% |
| 7 | WU Steven | 100% | 100% | 97% | 83% | 51% | 17% | 2% |
| 8 | CHEW Aedan | 100% | 95% | 69% | 27% | 3% | - | |
| 9 | HEDGES Philip | 100% | 100% | 100% | 100% | 99% | 89% | 51% |
| 10 | ZHENG Haoran | 100% | 100% | 100% | 100% | 97% | 69% | 11% |
| 11 | GUIRAUDET Alistair | 100% | 100% | 98% | 79% | 38% | 8% | - |
| 12 | COHEN Benjamin | 100% | 100% | 100% | 100% | 94% | 66% | 22% |
| 13 | TANG Mingyuan | 100% | 100% | 99% | 94% | 75% | 40% | 10% |
| 14 | SOULAIRE Tom | 100% | 100% | 100% | 100% | 95% | 64% | |
| 15 | JAIN Samyak | 100% | 99% | 89% | 59% | 21% | 2% | |
| 16 | PERALTA Christian | 100% | 100% | 100% | 95% | 74% | 34% | 5% |
| 17 | GALLAGHER PELLETIER Samuel | 100% | 100% | 100% | 100% | 100% | 93% | 48% |
| 17 | LI Ethan | 100% | 100% | 100% | 99% | 94% | 71% | 28% |
| 19 | HEPLER Sarah | 100% | 97% | 79% | 44% | 15% | 2% | < 1% |
| 20 | YU Austin | 100% | 99% | 92% | 64% | 23% | ||
| 21 | ELLOWAY William | 100% | 100% | 100% | 96% | 74% | 30% | |
| 22 | MCLAREN Mason | 100% | 81% | 38% | 8% | 1% | - | |
| 23 | LAI Amanda | 100% | 89% | 56% | 21% | 3% | - | |
| 24 | NICHOLSON Dimitri | 100% | 100% | 100% | 96% | 75% | 25% | |
| 25 | CHANG Andrew | 100% | 97% | 77% | 37% | 8% | ||
| 26 | KOFMAN David | 100% | 100% | 99% | 85% | 47% | 12% | 1% |
| 27 | ELZAYN Hadi | 100% | 100% | 100% | 100% | 96% | 77% | 36% |
| 28 | TAGKOPOULOS Pagkratios | 100% | 99% | 89% | 60% | 25% | 6% | - |
| 29 | WONG Preston | 100% | 100% | 99% | 90% | 64% | 27% | 4% |
| 30 | ONG Jee Ken | 100% | 100% | 100% | 97% | 82% | 49% | 14% |
| 31 | PIVOVAROV Lucas | 100% | 96% | 75% | 34% | 5% | - | |
| 32 | GACIOCH Noah | 100% | 99% | 84% | 47% | 14% | 2% | - |
| 33 | CHEN Bailey | 100% | 100% | 99% | 92% | 63% | 20% | 1% |
| 34 | WYATT Seth | 100% | 100% | 100% | 100% | 96% | 73% | 23% |
| 35 | WANG Jessie | 100% | 100% | 99% | 83% | 43% | 11% | 1% |
| 36 | ROCK Matt | 100% | 100% | 98% | 87% | 56% | 20% | 3% |
| 37 | WANG Devin | 100% | 100% | 96% | 71% | 25% | 1% | - |
| 38 | FUNG Shaun | 100% | 95% | 54% | 9% | < 1% | - | - |
| 39 | SRIKANTH Hariharan | 100% | 68% | 24% | 4% | - | - | |
| 40 | SIM Ian | 100% | 99% | 89% | 55% | 14% | 1% | |
| 41 | MENG QINGTAO | 100% | 99% | 90% | 64% | 28% | 5% | |
| 42 | ZANKOWSKI Brendan | 100% | 100% | 99% | 90% | 64% | 28% | 5% |
| 43 | XU Jessica | 100% | 100% | 91% | 59% | 22% | 4% | - |
| 44 | TONG Samuel | 100% | 100% | 100% | 96% | 76% | 35% | 2% |
| 45 | QIAO James | 100% | 91% | 56% | 17% | 2% | - | - |
| 45 | HANSEN Kira | 100% | 100% | 100% | 98% | 82% | 43% | 9% |
| 47 | XU Celina | 100% | 99% | 82% | 21% | 2% | - | - |
| 48 | HSU Joshua | 100% | 99% | 92% | 65% | 26% | 4% | - |
| 49 | MOLLINIER Angel | 100% | 98% | 89% | 64% | 32% | 10% | 1% |
| 50 | GANESH Maxen | 100% | 80% | 38% | 9% | 1% | ||
| 51 | KIM Ian | 100% | 100% | 93% | 65% | 23% | 4% | - |
| 52 | CHAKRABORTY Zorian | 100% | 90% | 55% | 16% | 2% | - | |
| 53 | MEINHOLD Li | 100% | 100% | 100% | 100% | 95% | 59% | |
| 54 | YOUNG Quentin | 100% | 95% | 71% | 33% | 7% | - | |
| 55 | RUFANOV Maxim | 100% | 87% | 48% | 13% | 1% | - | |
| 56 | LOUIE Joseph | 100% | 98% | 85% | 53% | 19% | 3% | |
| 57 | WICKBOLDT Eric | 100% | 100% | 100% | 97% | 77% | 21% | |
| 57 | LIN Isabel | 100% | 82% | 44% | 13% | 2% | - | |
| 59 | XIE HanZhang | 100% | 96% | 69% | 28% | 4% | - | |
| 60 | SALISTRA Emilia | 100% | 96% | 78% | 46% | 17% | 4% | - |
| 61 | SIRBU Dan | 100% | 100% | 98% | 80% | 40% | 9% | - |
| 61 | HAMILTON Travis | 100% | 95% | 69% | 26% | 4% | - | - |
| 63 | LIU Max | 100% | 69% | 25% | 4% | - | - | - |
| 64 | FICKLIN Ryan | 100% | 99% | 89% | 59% | 22% | 4% | - |
| 65 | WHEELER Mark | 100% | 100% | 100% | 99% | 87% | 49% | 12% |
| 66 | JARIN-LIPSCHITZ Laura | 100% | 96% | 76% | 39% | 10% | 1% | |
| 67 | GUO Woody | 100% | 97% | 70% | 30% | 6% | 1% | - |
| 68 | SIU Phoeland | 100% | 80% | 41% | 13% | 2% | - | - |
| 69 | DILEEP Roshan | 100% | 99% | 88% | 32% | 4% | - | - |
| 70 | SU Samuel | 100% | 98% | 86% | 56% | 22% | 4% | - |
| 71 | CHANG Heidi | 100% | 97% | 80% | 47% | 17% | 3% | - |
| 72 | POPOVICI Alina | 100% | 100% | 95% | 72% | 31% | 5% | - |
| 73 | HEDGES Lucas | 100% | 80% | 38% | 9% | 1% | ||
| 74 | KOUTSOUKOS James | 100% | 98% | 83% | 49% | 15% | 1% | |
| 75 | BUENAVENTURA Camden | 100% | 78% | 38% | 10% | 1% | - | - |
| 76 | LI Sean | 100% | 62% | 18% | 2% | - | - | - |
| 77 | JAQUISH Zoey | 100% | 95% | 64% | 22% | 3% | - | - |
| 78 | SCHOR Elisabeth | 100% | 76% | 33% | 7% | 1% | - | - |
| 79 | ZHANG Luqi | 100% | 91% | 57% | 18% | 2% | - | - |
| 80 | CHI Kai-Hung | 100% | 92% | 64% | 28% | 7% | 1% | - |
| 81 | ZHONG Louie | 100% | 100% | 96% | 79% | 47% | 16% | 2% |
| 82 | BECK Brian | 100% | 100% | 99% | 86% | 43% | 3% | - |
| 82 | BALUCAN Caelus | 100% | 83% | 39% | 8% | 1% | - | - |
| 84 | OR Anson | 100% | 88% | 12% | - | - | - | - |
| 85 | TEJADA-ANDERSON Emmanuel | 100% | 57% | 8% | - | - | - | - |
| 86 | LI Grayson | 100% | 78% | 35% | 7% | - | - | |
| 87 | HOFMAN Haejung | 100% | 89% | 45% | 11% | 1% | - | |
| 88 | LIU Yichen | 100% | 98% | 86% | 51% | 13% | ||
| 89 | SMITH Marissa | 100% | 39% | 5% | - | - | - | - |
| 89 | CLARKE Elliot | 100% | 93% | 45% | 7% | - | - | - |
| 91 | CHIEM Karen | 100% | 73% | 31% | 7% | 1% | - | - |
| 91 | NAZARENKO Olena | 100% | 72% | 25% | 4% | - | - | - |
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.