Chelsea Piers - Stamford, CT - Stamford, CT, 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 | MATSAKH Philip | 100% | 100% | 100% | 100% | 99% | 94% | 63% |
| 2 | KLOTZ Isaiah | 100% | 100% | 100% | 100% | 99% | 87% | 45% |
| 3 | ZHOU Leon | 100% | 100% | 100% | 98% | 85% | 44% | |
| 3 | GHEDINI Luca | 100% | 100% | 100% | 99% | 94% | 68% | 20% |
| 5 | MILLER Jordan | 100% | 100% | 100% | 99% | 92% | 59% | 16% |
| 6 | FENG Michael | 100% | 100% | 99% | 90% | 58% | 15% | |
| 7 | LI Bradley | 100% | 100% | 100% | 100% | 94% | 67% | 22% |
| 8 | MARTIN Darius | 100% | 100% | 98% | 87% | 58% | 23% | 4% |
| 9 | CHENG Logan | 100% | 99% | 88% | 52% | 14% | ||
| 10 | CHEN Hanson | 100% | 100% | 100% | 96% | 79% | 45% | 12% |
| 11 | CHEN Ethan | 100% | 100% | 100% | 94% | 69% | 30% | 5% |
| 12 | BLEIL Tyler | 100% | 93% | 67% | 32% | 8% | 1% | |
| 13 | AKYAMAC Bora | 100% | 100% | 100% | 100% | 96% | 76% | 34% |
| 14 | SHAPIRO Leon | 100% | 100% | 100% | 96% | 79% | 44% | 11% |
| 15 | ARCE Andrew W. | 100% | 100% | 98% | 85% | 55% | 19% | 2% |
| 16 | SURESH Rohan | 100% | 96% | 78% | 44% | 14% | 2% | |
| 17 | MILLER Dillon | 100% | 100% | 100% | 94% | 69% | 28% | 4% |
| 18 | KAPOOR Aayan | 100% | 100% | 100% | 96% | 81% | 48% | 13% |
| 19 | CHEN Kyle P. | 100% | 100% | 99% | 91% | 67% | 27% | |
| 20 | BAI Brian | 100% | 96% | 66% | 24% | 3% | ||
| 21 | WANG Brian | 100% | 100% | 100% | 99% | 92% | 60% | 18% |
| 22 | LEE Eugene | 100% | 100% | 99% | 93% | 71% | 35% | 7% |
| 23 | CHO Xzander | 100% | 99% | 92% | 69% | 33% | 9% | 1% |
| 24 | MASTROPAOLO Jonah W. | 100% | 100% | 97% | 80% | 46% | 14% | 1% |
| 25 | MUNDY Ezra | 100% | 98% | 80% | 44% | 14% | 2% | - |
| 26 | VISHAWADIA Jaimin | 100% | 100% | 92% | 65% | 26% | 5% | - |
| 27 | SIMONOV Timofey | 100% | 100% | 100% | 98% | 86% | 55% | 17% |
| 28 | SHANNON Jack | 100% | 100% | 92% | 65% | 27% | 5% | - |
| 29 | NICOLL William | 100% | 100% | 98% | 86% | 58% | 23% | 4% |
| 30 | LI Ayren | 100% | 100% | 92% | 62% | 19% | ||
| 31 | HAN Alexander | 100% | 96% | 78% | 45% | 15% | 2% | |
| 32 | JURMAN Therin | 100% | 96% | 79% | 46% | 15% | 2% | |
| 33 | TOOMRE Kai | 100% | 97% | 81% | 48% | 17% | 3% | - |
| 34 | PERLMAN Taiyo | 100% | 86% | 47% | 14% | 2% | - | - |
| 35 | BRAIZINHA Thomas | 100% | 100% | 99% | 92% | 65% | 26% | 4% |
| 36 | REN Ryan | 100% | 88% | 53% | 19% | 4% | - | - |
| 37 | VO Aidan | 100% | 88% | 48% | 13% | 1% | - | |
| 38 | SIMON Luke | 100% | 99% | 87% | 51% | 15% | 1% | |
| 39 | YANG Dylan | 100% | 100% | 94% | 72% | 36% | 9% | 1% |
| 40 | HOU Gaven | 100% | 100% | 93% | 57% | 19% | 3% | - |
| 41 | ONIK Ari N. | 100% | 99% | 90% | 57% | 16% | 2% | - |
| 42 | TAM Kyle | 100% | 98% | 84% | 41% | 9% | 1% | - |
| 43 | TANG Alex | 100% | 99% | 80% | 42% | 12% | 1% | - |
| 44 | GERRISH William | 100% | 99% | 88% | 53% | 14% | ||
| 45 | SION Andrew | 100% | 98% | 83% | 46% | 12% | 1% | |
| 46 | LIANG Haojia | 100% | 54% | 13% | 1% | - | - | |
| 47 | LIM Charles | 100% | 99% | 86% | 51% | 16% | 2% | - |
| 48 | WEISS Zachary | 100% | 52% | 11% | 1% | - | - | - |
| 49 | XU Brian | 100% | 95% | 33% | 5% | - | - | - |
| 50 | MATTOS Luis Felipe | 100% | 98% | 82% | 48% | 16% | 2% | - |
| 51 | ABRAMKIN Tim | 100% | 71% | 28% | 5% | 1% | - | - |
| 52 | GECKELER James | 100% | 95% | 71% | 33% | 8% | 1% | - |
| 53 | PARK Ethan | 100% | 82% | 32% | 6% | - | - | - |
| 54 | KRZYWON Dylan | 100% | 27% | 3% | - | - | ||
| 55 | WOODCOCK Henry | 100% | 93% | 69% | 34% | 9% | 1% | |
| 56 | DHANOA Kian | 100% | 77% | 36% | 9% | 1% | - | - |
| 57 | BO Aiden | 100% | 22% | 2% | - | - | - | - |
| 58 | CHUN Zachary | 100% | 43% | 9% | 1% | - | - | - |
| 59 | CHUN Alexander | 100% | 11% | - | - | - | - | - |
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.