Santa Clara Convention Center - Santa Clara, CA, 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 | NGUYEN Martin | - | - | - | 1% | 9% | 37% | 53% |
| 2 | NICOLETTI Luca | - | - | - | - | 7% | 39% | 54% |
| 3 | RASMUSSEN Sage | - | - | - | - | 3% | 29% | 68% |
| 3 | LIN Youlong | - | - | - | 1% | 8% | 38% | 53% |
| 5 | DERRICK Blake | - | - | - | - | 4% | 28% | 67% |
| 6 | PARK Rion | - | - | - | 1% | 7% | 34% | 58% |
| 7 | ZHANG Jacob | - | - | 2% | 14% | 40% | 36% | 8% |
| 8 | LING Eddie | - | - | - | - | 6% | 31% | 63% |
| 9 | WU Alber Y. | - | - | - | - | 6% | 30% | 64% |
| 10 | LO Preston | - | - | - | - | 4% | 29% | 67% |
| 10 | ZHANG Aaron | - | - | - | 3% | 19% | 45% | 32% |
| 12 | YI William | - | - | - | 2% | 23% | 54% | 21% |
| 13 | CHEN Matthew | - | - | 5% | 22% | 40% | 29% | 4% |
| 14 | RAJ Jay | - | - | - | 1% | 11% | 40% | 47% |
| 15 | ROZALSKI Eli | - | - | 1% | 7% | 29% | 44% | 20% |
| 15 | LOZANO Veyron Jericho | - | - | 1% | 10% | 32% | 40% | 16% |
| 17 | BAE Eugene | - | - | - | 3% | 18% | 44% | 34% |
| 18 | RAUTUREAU Hugo | - | - | 4% | 17% | 35% | 33% | 11% |
| 19 | MORROW Brenden | - | - | - | 4% | 24% | 53% | 19% |
| 20 | PARK Steve (Sangmin) | - | 1% | 9% | 25% | 35% | 24% | 6% |
| 21 | CORTRIGHT Skipper | - | - | 1% | 6% | 26% | 44% | 23% |
| 22 | FUKUDA Diego | - | - | - | - | 6% | 31% | 63% |
| 23 | LI Richard | - | - | 5% | 21% | 39% | 28% | 7% |
| 24 | YU ZiRun (Kinton) | - | - | 3% | 16% | 37% | 36% | 7% |
| 25 | WANDJI Noah | - | 1% | 7% | 25% | 40% | 25% | 3% |
| 25 | ZHAN Kevin | - | 6% | 23% | 37% | 26% | 8% | - |
| 27 | LE Jacob H. | - | 1% | 6% | 21% | 35% | 28% | 9% |
| 28 | ZHONG Maxwell | - | 2% | 12% | 29% | 36% | 19% | 2% |
| 29 | PARK David | - | 1% | 9% | 31% | 42% | 16% | 1% |
| 30 | KIM Daniel Y. | - | - | 4% | 15% | 33% | 34% | 13% |
| 31 | LU Kevin | - | - | - | 4% | 19% | 43% | 34% |
| 32 | ZHOU Ryan | - | 2% | 9% | 25% | 35% | 24% | 6% |
| 33 | CHANG Jonathan | - | 1% | 6% | 24% | 41% | 24% | 5% |
| 34 | ELKOUSY Zain al Din | - | - | 1% | 8% | 34% | 47% | 10% |
| 35 | SISINNI Leonardo | - | - | 1% | 9% | 30% | 42% | 17% |
| 36 | CHOI Benjamin | - | - | 1% | 7% | 28% | 42% | 21% |
| 37 | CHANG Eric Jonathan | - | - | 1% | 8% | 31% | 48% | 11% |
| 38 | LING Carson Jr | 1% | 6% | 20% | 33% | 28% | 11% | 2% |
| 39 | RAUTUREAU Arthur | - | 1% | 7% | 23% | 35% | 26% | 8% |
| 40 | LI Edison M. | - | 1% | 10% | 31% | 40% | 17% | 2% |
| 41 | UPENDER West | - | 3% | 17% | 36% | 31% | 11% | 1% |
| 42 | RODRIGUEZ Tyler | - | - | 4% | 22% | 42% | 26% | 5% |
| 43 | HE Bourne | 2% | 19% | 44% | 28% | 7% | 1% | - |
| 44 | PAN Ethan | 4% | 21% | 39% | 28% | 7% | 1% | - |
| 45 | TSOI Spencer | - | 5% | 20% | 36% | 29% | 9% | 1% |
| 46 | WONG Evan | - | 1% | 6% | 19% | 34% | 30% | 10% |
| 47 | ONG Nicholas | 1% | 7% | 26% | 40% | 23% | 4% | - |
| 48 | GORDON William L. | 1% | 6% | 22% | 34% | 26% | 10% | 1% |
| 49 | TSAY Jordan R. | - | 2% | 13% | 34% | 36% | 15% | 1% |
| 50 | BORG Matthew | - | 5% | 20% | 34% | 28% | 11% | 2% |
| 51 | CHAN Joseph | - | 4% | 19% | 38% | 30% | 7% | - |
| 52 | PARKER Isaiah | - | - | 2% | 15% | 38% | 35% | 10% |
| 53 | ZHANG Andrew | 11% | 32% | 34% | 18% | 4% | - | - |
| 54 | KUNTSEVICH Ivan I. | - | 1% | 5% | 21% | 38% | 29% | 7% |
| 55 | MANIKTALA Suvir | - | 6% | 26% | 40% | 23% | 5% | - |
| 56 | DENG David | - | 2% | 11% | 30% | 37% | 18% | 2% |
| 57 | WEI Winston | 9% | 35% | 42% | 13% | 1% | - | - |
| 58 | CHEN Jason | 1% | 11% | 32% | 36% | 17% | 3% | - |
| 59 | NISHIHIRA Tyler | 8% | 27% | 35% | 21% | 7% | 1% | - |
| 60 | PETROV Mikhail | 12% | 36% | 34% | 14% | 3% | - | - |
| 61 | PARK William | 1% | 6% | 21% | 35% | 28% | 9% | 1% |
| 62 | LIANG Ethan | 11% | 37% | 35% | 15% | 3% | - | - |
| 63 | YANG Charles | - | 1% | 9% | 25% | 35% | 24% | 6% |
| 64 | PARK Andrew | 1% | 7% | 29% | 41% | 20% | 3% | - |
| 65 | TOYOFUKU Ethan | 2% | 16% | 36% | 32% | 12% | 2% | - |
| 66 | MCKEE Calvin | 1% | 15% | 36% | 33% | 12% | 2% | - |
| 67 | BIELER Mason | - | - | - | 5% | 29% | 49% | 16% |
| 68 | FANG Haoyu | 1% | 11% | 28% | 35% | 20% | 5% | - |
| 69 | DESERANNO Leander | - | - | 2% | 15% | 42% | 34% | 6% |
| 70 | FUKUDA Brando | - | - | 4% | 23% | 49% | 21% | 2% |
| 71 | GANAPATHI Eshan | - | 4% | 21% | 38% | 28% | 8% | 1% |
| 72 | DANIEL Nikith | 1% | 8% | 25% | 37% | 24% | 5% | - |
| 73 | LIU Josh | - | 2% | 15% | 35% | 34% | 12% | 1% |
| 74 | LI Lucas | - | 3% | 16% | 35% | 33% | 12% | 1% |
| 75 | YOU Alan | 1% | 10% | 29% | 34% | 20% | 5% | 1% |
| 76 | TSUI Raedyn Ho Hin | 6% | 23% | 35% | 26% | 9% | 1% | - |
| 77 | MA Oliver | 23% | 45% | 26% | 6% | - | - | - |
| 78 | ANDRADE Cedric | 2% | 15% | 40% | 33% | 9% | 1% | - |
| 79 | WU Thomas | - | 3% | 20% | 38% | 29% | 9% | 1% |
| 80 | HONG Edwin | 1% | 16% | 41% | 34% | 8% | 1% | - |
| 81 | CHANG Jeremy | - | 1% | 7% | 25% | 40% | 24% | 3% |
| 82 | YUE Jackson | 1% | 9% | 29% | 36% | 20% | 5% | - |
| 83 | YU ShiLin (Harry) | - | 7% | 28% | 41% | 20% | 4% | - |
| 84 | YE Jerry | - | 4% | 23% | 39% | 26% | 7% | 1% |
| 85 | YU Eric | - | 3% | 15% | 32% | 32% | 14% | 2% |
| 86 | GUO Joey | 2% | 17% | 39% | 31% | 9% | 1% | - |
| 87 | HE Ian | 3% | 20% | 39% | 29% | 9% | 1% | - |
| 87 | ZHANG Yankai | 7% | 27% | 36% | 22% | 6% | 1% | - |
| 89 | JACOB Ezra | 5% | 28% | 43% | 20% | 3% | - | - |
| 90 | LEE Christopher | 9% | 41% | 37% | 11% | 1% | - | - |
| 91 | WANG sicheng | 3% | 19% | 36% | 29% | 11% | 2% | - |
| 92 | HUANG Nathan | 2% | 16% | 40% | 32% | 9% | 1% | - |
| 93 | ARCARA Evan | 30% | 43% | 22% | 5% | - | - | - |
| 94 | RAU Shogun | 2% | 17% | 47% | 28% | 7% | 1% | - |
| 95 | YANG Steve | 1% | 7% | 25% | 38% | 24% | 5% | - |
| 96 | SHEN Alaric | 17% | 39% | 31% | 11% | 2% | - | - |
| 97 | YU ShiYu (Henry) | - | 5% | 18% | 34% | 30% | 11% | 1% |
| 98 | KIM Andrew | 5% | 32% | 40% | 18% | 4% | - | - |
| 99 | DULAI Agam | 8% | 31% | 39% | 18% | 4% | - | - |
| 100 | LUK Trusten | 29% | 42% | 23% | 6% | 1% | - | - |
| 101 | WONG Braxton | 17% | 41% | 31% | 10% | 1% | - | - |
| 102 | MAO Runxian | 3% | 24% | 40% | 26% | 7% | 1% | - |
| 103 | WANG Elijah (QiChen) | 2% | 21% | 41% | 27% | 8% | 1% | - |
| 104 | ZHANG Jayden | 2% | 17% | 41% | 33% | 7% | - | - |
| 105 | CHIANG Aiden | 37% | 44% | 17% | 2% | - | - | - |
| 105 | YANG Tate | - | 5% | 22% | 37% | 27% | 8% | 1% |
| 107 | GUDIMETLA Siddhanth | 12% | 37% | 35% | 13% | 2% | - | - |
| 108 | LI Daniel | 12% | 33% | 34% | 17% | 4% | - | - |
| 109 | CHOI Andrew | 2% | 13% | 30% | 33% | 17% | 4% | - |
| 110 | AHN Theodore | 12% | 35% | 35% | 15% | 3% | - | - |
| 111 | CHEN Aiden | 54% | 37% | 8% | 1% | - | - | - |
| 112 | FOY Grant | 11% | 32% | 34% | 18% | 5% | 1% | - |
| 113 | BOYNTON Alex | 46% | 41% | 12% | 1% | - | - | - |
| 114 | SHU Eric | 46% | 42% | 11% | 1% | - | - | - |
| 115 | DULAI Angad | 32% | 42% | 21% | 5% | 1% | - | - |
| 116 | VALLADAO Balian | 1% | 13% | 39% | 35% | 10% | 1% | - |
| 117 | FUNG Jace Y. | 31% | 46% | 20% | 3% | - | - | - |
| 118 | SUN Neo | 23% | 50% | 23% | 4% | - | - | - |
| 119 | PE Noah | 7% | 26% | 35% | 23% | 8% | 1% | - |
| 120 | OZCAN Archer | 69% | 27% | 4% | - | - | - | - |
| 121 | HE Gary | 12% | 46% | 33% | 8% | 1% | - | - |
| 121 | BHANOT Arjun | 8% | 29% | 36% | 21% | 5% | - | - |
| 123 | BANUELOS Dario | 65% | 30% | 5% | - | - | - | - |
| 124 | FEDOR Lucian | 56% | 36% | 8% | 1% | - | - | - |
| 125 | CHAUDHARY Raza | 3% | 18% | 40% | 29% | 9% | 1% | - |
| 126 | CHEUNG Henry | 36% | 46% | 16% | 2% | - | - | - |
| 127 | VALENCIA Anthony N. | 30% | 44% | 22% | 4% | - | - | - |
| 127 | VALLADAO Derek | 38% | 44% | 16% | 2% | - | - | - |
| 129 | LI Austin | 1% | 13% | 39% | 34% | 12% | 1% | - |
| 130 | ZHU Randy | 28% | 48% | 20% | 3% | - | - | - |
| 131 | KONG Enoch | 4% | 18% | 33% | 30% | 13% | 3% | - |
| 132 | TOYOFUKU Lucas | 43% | 41% | 14% | 2% | - | - | - |
| 132 | CRIDLAND Trent | 4% | 19% | 34% | 29% | 12% | 2% | - |
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.