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 | SINGHA Orion | - | - | - | 1% | 12% | 39% | 48% |
| 2 | SMITH Justin C. | - | - | - | 3% | 23% | 55% | 19% |
| 3 | HICKS Zachary | - | 2% | 12% | 32% | 36% | 16% | 2% |
| 3 | TIEN Jabin | - | 3% | 17% | 39% | 35% | 7% | |
| 5 | JOHNSTON Conner S. | - | - | 3% | 18% | 42% | 37% | |
| 6 | PARKER Isaiah | - | 1% | 9% | 35% | 42% | 12% | 1% |
| 7 | CHIEN Brandon | - | - | 1% | 5% | 22% | 42% | 30% |
| 8 | CHOI Zachary | - | 4% | 17% | 37% | 34% | 8% | |
| 9 | DIEDERICHS Jimmy G. | - | - | 2% | 12% | 40% | 47% | |
| 10 | YAMASAKI Kyle A. | - | - | 1% | 8% | 35% | 56% | |
| 11 | LI Yunji (Rain) | 5% | 22% | 37% | 27% | 8% | 1% | |
| 12 | JAIN Samyak | 1% | 10% | 29% | 35% | 19% | 4% | - |
| 13 | LIU Noah | 3% | 19% | 39% | 30% | 9% | 1% | |
| 14 | DEMPSEY Connor | 1% | 9% | 28% | 37% | 21% | 4% | |
| 15 | CHAUDHURI Kabir | 8% | 36% | 41% | 14% | 2% | - | - |
| 16 | MA Victor | - | < 1% | 2% | 11% | 31% | 39% | 17% |
| 17 | CHEN Bailey | - | 1% | 10% | 29% | 36% | 20% | 4% |
| 18 | CHANDLER Paul F. | - | - | - | - | 4% | 29% | 67% |
| 19 | SHIRLEY Kai | - | 2% | 17% | 45% | 29% | 7% | 1% |
| 20 | CHOI Kaiden I. | - | 1% | 5% | 22% | 39% | 28% | 5% |
| 21 | WANG Terry | - | 1% | 9% | 26% | 37% | 22% | 5% |
| 22 | CHAKRAVARTHY Arjun | 4% | 21% | 38% | 28% | 8% | 1% | |
| 23 | DANIELS Jonah | - | 4% | 16% | 30% | 31% | 16% | 3% |
| 24 | HABIB Farooq | - | - | - | - | 4% | 28% | 68% |
| 24 | YUEN Nathan | - | 4% | 19% | 37% | 30% | 10% | 1% |
| 26 | LIU Andrew | - | - | 4% | 17% | 36% | 33% | 10% |
| 27 | SOULAIRE Tom | - | - | - | 4% | 25% | 45% | 25% |
| 28 | DESSAUER Tobyn M. | - | - | 4% | 19% | 37% | 31% | 9% |
| 29 | GINZBURG Adam | 1% | 8% | 27% | 38% | 23% | 4% | |
| 30 | GUIRAUDET Alistair | 26% | 42% | 25% | 6% | 1% | - | |
| 31 | TANG Mingyuan | - | 5% | 20% | 37% | 29% | 8% | - |
| 32 | ZANKOWSKI Brendan | 18% | 41% | 30% | 10% | 1% | - | - |
| 33 | DOWDELL Riley | - | 2% | 9% | 24% | 34% | 24% | 7% |
| 34 | HEINS Dylan | - | 1% | 9% | 30% | 41% | 18% | 2% |
| 35 | SNIDER Jeffrey H. | - | - | 3% | 15% | 36% | 35% | 11% |
| 36 | HILLSTROM Nathan | - | 2% | 18% | 45% | 30% | 5% | - |
| 37 | ALVAREZ Ian T. | - | - | 2% | 13% | 38% | 40% | 7% |
| 38 | BOYCE Samuel H. | - | 1% | 6% | 25% | 44% | 25% | |
| 39 | NICHOLSON Dominic A. | - | - | 1% | 12% | 39% | 37% | 11% |
| 40 | NAIK Saininad | - | 2% | 12% | 31% | 35% | 17% | 3% |
| 41 | PHILIPPINE Matthias A. | - | - | - | - | 4% | 35% | 61% |
| 42 | WONG Baron | - | 2% | 10% | 26% | 34% | 22% | 6% |
| 43 | SEO Shawn | - | 3% | 17% | 35% | 32% | 11% | 1% |
| 44 | MCMANUS Farran | - | - | 3% | 14% | 33% | 36% | 14% |
| 45 | AU Marcus J. | - | - | - | 7% | 29% | 44% | 20% |
| 46 | SCHROEDER Dylan | - | 2% | 11% | 32% | 41% | 15% | |
| 47 | LUCERO-OLSON Aydin | - | 1% | 7% | 26% | 44% | 23% | |
| 48 | KUO Rylan | 11% | 32% | 36% | 17% | 3% | - | |
| 49 | ANDERSON Kai | 2% | 14% | 34% | 35% | 14% | 2% | |
| 50 | NICHOLSON Dimitri E. | - | - | 1% | 11% | 39% | 49% | |
| 51 | PAINTER Noah | 10% | 33% | 37% | 17% | 3% | - | |
| 52 | CHEN Zhengyang (Allen) | - | - | 5% | 21% | 38% | 29% | 6% |
| 53 | WAI Andreas | 2% | 14% | 33% | 33% | 14% | 3% | - |
| 54 | SCHINDLER Sergey M. | - | - | 1% | 7% | 26% | 42% | 24% |
| 55 | RUFANOV Maxim | 25% | 42% | 25% | 7% | 1% | - | - |
| 56 | KOUTSOUKOS James | 2% | 20% | 50% | 24% | 4% | - | - |
| 57 | MILEY Walker | 2% | 18% | 39% | 31% | 10% | 1% | - |
| 58 | SINHA Zaan | 3% | 19% | 39% | 30% | 8% | 1% | |
| 59 | MIAO KUNQI | 1% | 9% | 30% | 39% | 19% | 3% | |
| 60 | LIU Yikun | - | - | 3% | 17% | 43% | 36% | |
| 61 | SIM Ian | 10% | 34% | 36% | 16% | 3% | - | |
| 62 | LAURIMAA Emil | 4% | 23% | 37% | 26% | 8% | 1% | - |
| 63 | NGUYEN Peyton | 13% | 42% | 33% | 10% | 2% | - | - |
| 64 | CHEW Aedan | 28% | 44% | 23% | 5% | - | - | |
| 65 | YOUNG Quentin | 29% | 43% | 22% | 5% | - | - | |
| 66 | WONG Ethan | 2% | 14% | 35% | 33% | 14% | 3% | - |
| 67 | LAI Alexander | 33% | 42% | 20% | 4% | - | - | |
| 68 | ZHUANG William | 5% | 23% | 39% | 26% | 7% | 1% | |
| 69 | STAFFORD Bryan | 29% | 44% | 22% | 5% | - | - | |
| 70 | GOROZA Eric | 20% | 43% | 28% | 7% | 1% | - | |
| 71 | ALLEGRETTI Zachary T. | 4% | 21% | 37% | 28% | 8% | 1% | |
| 72 | PERALTA Christian | 1% | 13% | 35% | 36% | 14% | 2% | - |
| 73 | WONG Preston | 5% | 21% | 33% | 27% | 12% | 3% | - |
| 74 | XU Yanwen | 3% | 15% | 31% | 30% | 16% | 4% | - |
| 75 | AGGELER Donovan | 1% | 10% | 31% | 36% | 18% | 4% | - |
| 76 | JU Hanul | 3% | 17% | 35% | 31% | 12% | 2% | - |
| 77 | ZGAMA Oleksii | 39% | 41% | 16% | 3% | - | - | - |
| 78 | PHILIPPINE Johan L. | 1% | 5% | 18% | 31% | 29% | 14% | 3% |
| 79 | MARTIN zachary | 52% | 38% | 9% | 1% | - | - | - |
| 80 | CHENG Trevor | 8% | 30% | 38% | 20% | 4% | - | |
| 81 | ROBERTS Peter | - | 3% | 16% | 37% | 36% | 9% | |
| 82 | SIRBU Dan | 8% | 28% | 37% | 22% | 5% | - | |
| 83 | DOWNEY Gerard C. | 2% | 13% | 33% | 35% | 16% | 2% | |
| 84 | ELZAYN Hadi S. | 1% | 10% | 31% | 38% | 17% | 2% | |
| 85 | WANG Kunqi | 18% | 42% | 30% | 9% | 1% | - | |
| 86 | KLINKNER Richard | 13% | 37% | 34% | 13% | 2% | - | - |
| 87 | URCIOLI Phenix | 15% | 34% | 32% | 15% | 4% | 1% | - |
| 88 | LIU Yichen | 3% | 19% | 38% | 29% | 10% | 1% | - |
| 89 | DEVINENI Avyang | 29% | 46% | 21% | 4% | - | - | - |
| 90 | MEHROTRA Dhruv | 39% | 47% | 13% | 1% | - | - | - |
| 91 | TOPPING Axel | 68% | 28% | 4% | - | - | - | - |
| 92 | REED David | 23% | 42% | 26% | 7% | 1% | - | - |
| 93 | TUMULA Arihaan | 47% | 41% | 11% | 1% | - | - | - |
| 94 | SHEN Jiayi | 3% | 26% | 41% | 24% | 6% | - | - |
| 95 | BUERGISSER Kai | 4% | 22% | 38% | 27% | 9% | 1% | - |
| 96 | MCLAREN Mason | 30% | 46% | 20% | 4% | - | - | - |
| 97 | BECK Brian C. | 11% | 33% | 36% | 17% | 3% | - | |
| 98 | MITCHEM Paolo | 34% | 50% | 14% | 1% | - | - | - |
| 99 | MOLLINIER Angel | 9% | 39% | 40% | 11% | 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.