Meadowlands Expo Center - Secaucus, 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 | QIAN Jason H. | 100% | 100% | 100% | 100% | 97% | 81% | 38% |
| 2 | WONG Jackson | 100% | 100% | 100% | 96% | 73% | 25% | |
| 3 | SENIC Lucas | 100% | 100% | 100% | 97% | 80% | 35% | |
| 3 | FUKUDA Diego | 100% | 100% | 100% | 100% | 96% | 80% | 39% |
| 5 | MAO Lucas | 100% | 100% | 99% | 92% | 70% | 35% | 8% |
| 6 | LIU Ethan | 100% | 100% | 100% | 100% | 96% | 75% | 32% |
| 7 | GULCHIN Mark | 100% | 100% | 99% | 91% | 68% | 33% | 7% |
| 8 | CHENG Ethan | 100% | 100% | 100% | 99% | 94% | 71% | 28% |
| 9 | XU Andy P. | 100% | 100% | 100% | 99% | 89% | 58% | 17% |
| 9 | YAO Bradley | 100% | 100% | 100% | 100% | 95% | 70% | 25% |
| 11 | SUAREZ Adrian | 100% | 100% | 100% | 98% | 87% | 54% | 15% |
| 12 | KIAYIAS Aris | 100% | 100% | 100% | 96% | 77% | 36% | 7% |
| 13 | LEE Brendan | 100% | 100% | 100% | 97% | 83% | 51% | 15% |
| 14 | TANG Terry | 100% | 100% | 97% | 85% | 54% | 19% | 3% |
| 15 | ALLEN Henry G. | 100% | 100% | 100% | 99% | 88% | 52% | 13% |
| 16 | LI Aaron | 100% | 100% | 98% | 89% | 65% | 31% | 7% |
| 17 | LIU Derek | 100% | 100% | 100% | 99% | 91% | 65% | 24% |
| 18 | CHEN Kyle P. | 100% | 100% | 100% | 99% | 92% | 67% | 25% |
| 19 | YANG Charles | 100% | 99% | 93% | 69% | 34% | 9% | 1% |
| 20 | TANG Alexander L. | 100% | 100% | 100% | 98% | 87% | 56% | 17% |
| 21 | GHEDINI Luca | 100% | 100% | 100% | 99% | 91% | 59% | 17% |
| 22 | LI Bradley | 100% | 100% | 100% | 99% | 92% | 65% | 22% |
| 23 | MARTIN Darius | 100% | 100% | 96% | 80% | 50% | 19% | 3% |
| 24 | SIMONOV Timofey | 100% | 100% | 100% | 98% | 86% | 54% | 14% |
| 25 | LING Eddie | 100% | 100% | 100% | 99% | 92% | 64% | 21% |
| 26 | ZENG Rick | 100% | 100% | 97% | 83% | 52% | 20% | 3% |
| 27 | RAJ Jay | 100% | 100% | 99% | 92% | 70% | 34% | 7% |
| 28 | MO Ethan | 100% | 99% | 92% | 69% | 35% | 10% | 1% |
| 29 | SHENG Dalton | 100% | 99% | 89% | 64% | 32% | 9% | 1% |
| 30 | CHUANG Oscar | 100% | 100% | 90% | 62% | 28% | 7% | 1% |
| 31 | GUTH Joseph | 100% | 100% | 96% | 80% | 50% | 19% | 3% |
| 32 | ZHANG Alex | 100% | 100% | 97% | 84% | 53% | 20% | 3% |
| 33 | FEDELI Francesco | 100% | 100% | 100% | 99% | 95% | 76% | 34% |
| 34 | LI Allen | 100% | 100% | 95% | 77% | 45% | 15% | 2% |
| 35 | WONG Jacob W. | 100% | 99% | 90% | 57% | 17% | 2% | |
| 36 | GERRISH William | 100% | 100% | 99% | 95% | 75% | 37% | 7% |
| 37 | TWEMLOW Sacha | 100% | 100% | 97% | 84% | 54% | 20% | 3% |
| 37 | RUIZ ALMEIDA Muhammad | 100% | 100% | 99% | 93% | 72% | 37% | 9% |
| 39 | GRIFFITH MCALLISTER Thomas | 100% | 98% | 87% | 59% | 25% | 5% | - |
| 40 | CHEN Ethan | 100% | 100% | 96% | 75% | 34% | 7% | 1% |
| 41 | TAN Aidan | 100% | 100% | 97% | 79% | 43% | 11% | 1% |
| 42 | PALMA Nathan Anthony | 100% | 100% | 98% | 88% | 62% | 27% | 5% |
| 43 | ZHAO Nathan | 100% | 100% | 96% | 82% | 52% | 21% | 4% |
| 44 | ZHENG Marcus | 100% | 100% | 96% | 82% | 51% | 19% | 3% |
| 45 | XIE Jicheng | 100% | 96% | 77% | 42% | 13% | 2% | - |
| 46 | CHENG Logan | 100% | 98% | 85% | 55% | 23% | 5% | - |
| 47 | PLUMMER Waylon | 100% | 91% | 61% | 25% | 5% | - | - |
| 48 | LIU ERIC | 100% | 99% | 89% | 62% | 28% | 7% | 1% |
| 49 | PARK Rion | 100% | 96% | 77% | 42% | 14% | 2% | - |
| 50 | PARRISH Evan | 100% | 98% | 84% | 45% | 11% | 1% | |
| 51 | TSAY Jordan R. | 100% | 100% | 95% | 75% | 42% | 13% | 2% |
| 51 | TANG Royce | 100% | 99% | 88% | 53% | 16% | 2% | - |
| 53 | JIN Andy | 100% | 96% | 77% | 43% | 14% | 2% | - |
| 54 | HONG Logan | 100% | 100% | 96% | 77% | 40% | 10% | 1% |
| 55 | MANIKTALA Suvir | 100% | 99% | 88% | 60% | 25% | 5% | - |
| 56 | DHOKTE Neev | 100% | 99% | 90% | 62% | 28% | 7% | 1% |
| 57 | LU Kevin | 100% | 100% | 96% | 80% | 49% | 18% | 3% |
| 57 | SUI Samuel | 100% | 91% | 52% | 16% | 2% | - | - |
| 59 | LEE Charles T | 100% | 97% | 83% | 53% | 21% | 5% | - |
| 60 | WEI JR Shan | 100% | 96% | 78% | 44% | 15% | 2% | - |
| 61 | BOBROW Silas | 100% | 97% | 80% | 48% | 19% | 4% | - |
| 62 | PARK William | 100% | 97% | 78% | 37% | 8% | 1% | - |
| 63 | SUAREZ David | 100% | 95% | 71% | 35% | 10% | 2% | - |
| 64 | HOU Gaven | 100% | 74% | 34% | 10% | 2% | - | - |
| 65 | FUKUDA Brando | 100% | 93% | 65% | 29% | 7% | 1% | - |
| 66 | QIAN Zekai | 100% | 78% | 35% | 8% | 1% | - | - |
| 67 | HUA Aaron | 100% | 96% | 78% | 45% | 16% | 3% | - |
| 68 | YOON Junhyeok | 100% | 98% | 83% | 52% | 19% | 3% | - |
| 69 | MARTIRE Luca | 100% | 93% | 66% | 29% | 7% | 1% | - |
| 70 | NICOZISIS Elias | 100% | 87% | 50% | 15% | 2% | - | - |
| 71 | TOOMRE Kai | 100% | 94% | 70% | 34% | 10% | 1% | - |
| 72 | ZHANG ethan | 100% | 99% | 86% | 54% | 20% | 4% | - |
| 73 | XU Nathan | 100% | 95% | 74% | 39% | 13% | 2% | - |
| 74 | GOLDYUK Steven | 100% | 76% | 29% | 5% | - | - | |
| 75 | YU William | 100% | 61% | 20% | 4% | - | - | - |
| 76 | YEVDAYEV Tamir | 100% | 95% | 73% | 36% | 10% | 1% | - |
| 77 | PAN Edwin | 100% | 73% | 33% | 8% | 1% | - | - |
| 78 | CHO Xzander | 100% | 85% | 51% | 19% | 4% | - | - |
| 79 | HUANG Jinyao | 100% | 95% | 71% | 34% | 8% | 1% | - |
| 80 | WANG Xiuqi(Arthur) | 100% | 98% | 85% | 55% | 22% | 4% | - |
| 80 | ZMUDA Aiden | 100% | 90% | 55% | 17% | 2% | - | - |
| 82 | REN Ryan | 100% | 62% | 16% | 2% | - | - | |
| 83 | WANG Rory | 100% | 46% | 9% | 1% | - | - | - |
| 84 | JEONG Aaron | 100% | 69% | 24% | 3% | - | - | - |
| 85 | ABRAMKIN Tim | 100% | 85% | 49% | 15% | 2% | - | - |
| 86 | SICAT Justin | 100% | 83% | 46% | 15% | 3% | - | - |
| 87 | WANG Ralph | 100% | 21% | 2% | - | - | - | - |
| 88 | ANTE Michael | 100% | 69% | 22% | 3% | - | - | - |
| 89 | UNGERER Henry | 100% | 81% | 42% | 13% | 2% | - | - |
| 90 | ZHOU Alex | 100% | 73% | 31% | 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.