SportsPlex at Metuchen - Metuchen, NJ, 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 | KO Caleb | - | - | - | 1% | 11% | 38% | 50% |
| 2 | TANG Royce | - | - | - | 3% | 16% | 41% | 39% |
| 3 | GRIGORIEV Michael | - | - | - | 3% | 16% | 41% | 40% |
| 3 | MO Ethan | - | - | - | 2% | 13% | 39% | 46% |
| 5 | PLUMMER Waylon | - | - | 1% | 5% | 20% | 42% | 33% |
| 6 | KUO Phineas | - | - | 5% | 20% | 38% | 30% | 7% |
| 7 | JAZWINSKI Ryan | - | - | 2% | 11% | 29% | 39% | 19% |
| 8 | HUYNH Matthew | - | 1% | 5% | 21% | 39% | 29% | 5% |
| 9 | NABASSOUA Djibril | 1% | 6% | 21% | 35% | 27% | 8% | 1% |
| 10 | HUANG Jinyao | - | 1% | 8% | 23% | 35% | 25% | 7% |
| 11 | CHANG Parker | - | 1% | 6% | 22% | 36% | 28% | 8% |
| 12 | ZHAO Ryan | - | 1% | 7% | 24% | 37% | 25% | 6% |
| 13 | ULYSSE Jacob | 1% | 5% | 19% | 33% | 29% | 12% | 2% |
| 14 | KAYE Ben | 1% | 6% | 21% | 35% | 27% | 9% | 1% |
| 15 | ZHANG Aaron | 1% | 7% | 21% | 32% | 26% | 11% | 2% |
| 16 | LU Hansen | - | 2% | 13% | 31% | 34% | 17% | 3% |
| 17 | KINGSLEY Griffin | - | 2% | 12% | 29% | 34% | 19% | 4% |
| 18 | KOVACS Harrison | - | 2% | 9% | 23% | 33% | 25% | 8% |
| 18 | XIAN kevin | - | - | 1% | 5% | 22% | 42% | 30% |
| 20 | FREL Vincent | - | 1% | 5% | 19% | 36% | 31% | 8% |
| 21 | CHEN kenneth | - | 3% | 17% | 34% | 31% | 13% | 2% |
| 22 | AHMAD Uzayr | - | 1% | 6% | 21% | 37% | 29% | 6% |
| 23 | BEYDOUN Sam | - | 4% | 16% | 32% | 32% | 14% | 2% |
| 24 | ZHENG Austin | 1% | 11% | 29% | 35% | 19% | 5% | - |
| 25 | BRAIZINHA David | 2% | 15% | 32% | 32% | 16% | 4% | - |
| 26 | SHAW eric | 1% | 6% | 19% | 31% | 28% | 13% | 2% |
| 27 | VENAFRO Tristan | - | 4% | 15% | 29% | 31% | 17% | 4% |
| 28 | BAS Jonathan | 2% | 15% | 35% | 32% | 14% | 3% | - |
| 29 | SIU Max | 3% | 13% | 28% | 31% | 18% | 6% | 1% |
| 30 | LEE Kyle | 11% | 30% | 34% | 19% | 5% | 1% | - |
| 31 | MA Matthew | - | - | 4% | 17% | 35% | 34% | 10% |
| 32 | LIU jeremy | 19% | 38% | 30% | 12% | 2% | - | - |
| 33 | LIN Qianzhong | 1% | 10% | 29% | 36% | 19% | 4% | - |
| 34 | HART-SYED declan | - | 3% | 13% | 30% | 34% | 18% | 3% |
| 35 | ZHANG Ethan | 1% | 10% | 26% | 34% | 22% | 6% | 1% |
| 36 | TANG Michael | 4% | 19% | 34% | 29% | 11% | 2% | - |
| 37 | SHEN Lucas | 2% | 18% | 35% | 30% | 12% | 2% | - |
| 38 | JOHN Meru | 7% | 26% | 36% | 23% | 7% | 1% | - |
| 39 | LEE Aeden | 2% | 12% | 29% | 34% | 19% | 4% | - |
| 40 | HAN Jiaren | 4% | 17% | 32% | 30% | 14% | 3% | - |
| 41 | PITERBARG Lev | 51% | 37% | 10% | 1% | - | - | - |
| 42 | MCLENDON Mateo | 1% | 8% | 24% | 35% | 24% | 7% | 1% |
| 43 | GLICKSBERG Alexander | - | 2% | 10% | 25% | 34% | 23% | 6% |
| 44 | HARRY Ryan | 6% | 24% | 36% | 25% | 9% | 1% | - |
| 45 | YOUM Tyson | 30% | 41% | 22% | 6% | 1% | - | - |
| 46 | DAWSON Myer | 4% | 19% | 35% | 29% | 11% | 2% | - |
| 47 | WEZWICK Luke | 7% | 26% | 35% | 23% | 8% | 1% | - |
| 48 | PARISH-MORRIS Jay | 5% | 21% | 35% | 27% | 10% | 2% | - |
| 49 | BRADFORD-WATT Ezra | 9% | 29% | 35% | 20% | 6% | 1% | - |
| 50 | CHOI Hunter | 7% | 24% | 33% | 24% | 10% | 2% | - |
| 51 | HUYNH Kaleb | 3% | 20% | 37% | 28% | 10% | 2% | - |
| 52 | CAO Joshua | 2% | 14% | 31% | 32% | 16% | 4% | - |
| 52 | HUANG Marcus | 56% | 35% | 8% | 1% | - | - | - |
| 54 | SPERBER Miles | 4% | 25% | 38% | 25% | 8% | 1% | - |
| 55 | REYNOLDS CHANG Luke | 16% | 35% | 31% | 14% | 3% | - | - |
| 55 | DENG Jonathan | - | 4% | 17% | 33% | 31% | 14% | 2% |
| 57 | SUN Andrew | 5% | 27% | 38% | 23% | 6% | 1% | - |
| 58 | RAJAT Rivaan | 17% | 38% | 31% | 11% | 2% | - | - |
| 59 | MANCHALA Vedanth | 5% | 19% | 32% | 28% | 13% | 3% | - |
| 60 | WANG Joshua | 1% | 10% | 28% | 35% | 20% | 5% | - |
| 61 | KEEN Trace | < 1% | 2% | 14% | 32% | 34% | 16% | 2% |
| 62 | NICHOLAIDES LUKE | 3% | 17% | 33% | 30% | 13% | 3% | - |
| 62 | CHENUTULA Abhinav | 59% | 33% | 7% | 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.