America's Center Convention Complex - St. Louis, MO, 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 | LEE Jacob J | - | - | 2% | 9% | 27% | 40% | 22% |
| 2 | WU Alexander | - | - | - | 1% | 9% | 36% | 55% |
| 3 | CULLIVAN Justice | - | - | 2% | 16% | 44% | 38% | |
| 3 | HOOSHI Jayden C. | - | - | - | 1% | 9% | 36% | 55% |
| 5 | GRAHAM Roy J. | - | - | - | - | 2% | 22% | 76% |
| 6 | LO Conrad | - | - | - | - | 1% | 13% | 87% |
| 7 | WYMAN Julian | - | - | 3% | 13% | 31% | 37% | 16% |
| 8 | JIANG Owen | - | 1% | 8% | 26% | 37% | 23% | 5% |
| 9 | LI Eric | - | - | - | 1% | 10% | 39% | 50% |
| 10 | LEE Aidan | - | - | - | 1% | 6% | 30% | 64% |
| 11 | GOOR Julian | - | - | - | 2% | 13% | 40% | 46% |
| 12 | RUSADZE Nickolas | - | - | - | 4% | 21% | 43% | 32% |
| 12 | VALOUEV Aleksey | 1% | 7% | 23% | 34% | 26% | 9% | 1% |
| 14 | SIU Aiden | - | - | 2% | 10% | 30% | 39% | 19% |
| 15 | LEE Lukas | 2% | 14% | 33% | 34% | 15% | 2% | - |
| 16 | CANLAS Nathan | - | 1% | 7% | 31% | 44% | 16% | |
| 17 | JAIN Aditya | - | - | 1% | 8% | 26% | 40% | 24% |
| 18 | DAI Jonathan T. | - | - | - | 2% | 14% | 41% | 42% |
| 19 | NAYGAS LAWRENCE I. | - | - | 1% | 7% | 25% | 41% | 26% |
| 20 | PARK Jason B. | 1% | 6% | 21% | 35% | 27% | 9% | 1% |
| 21 | WOO Christian | - | 1% | 8% | 26% | 38% | 23% | 4% |
| 21 | ZHAI Jeffrey | - | - | 1% | 6% | 23% | 42% | 29% |
| 23 | PO Oliver | - | 2% | 10% | 28% | 36% | 20% | 4% |
| 24 | LEWIS Akhil | 1% | 7% | 24% | 34% | 25% | 8% | 1% |
| 24 | LIN James G. | - | 1% | 8% | 26% | 38% | 24% | 3% |
| 26 | WONG Adrian | - | - | 4% | 20% | 39% | 30% | 7% |
| 27 | TANG Owen S. | - | - | 3% | 16% | 35% | 34% | 12% |
| 28 | AUGUSTINE Aaron A. | - | 5% | 21% | 37% | 28% | 7% | - |
| 29 | LIN Michael | - | - | 3% | 14% | 35% | 37% | 10% |
| 30 | GUO Justin | 1% | 12% | 30% | 33% | 18% | 5% | - |
| 31 | SIMA Congyu Josh | - | 4% | 17% | 32% | 30% | 13% | 2% |
| 32 | KRYLTSOV Michael | - | 3% | 19% | 42% | 29% | 6% | |
| 33 | KANG Anthony | - | 1% | 6% | 22% | 37% | 27% | 7% |
| 33 | LI Richard | - | - | - | - | 5% | 31% | 64% |
| 35 | MA Andrew | - | 1% | 8% | 26% | 37% | 23% | 5% |
| 36 | PARK Gabriel | 1% | 7% | 26% | 37% | 23% | 6% | - |
| 37 | REEVES Liam | - | 1% | 7% | 23% | 36% | 26% | 6% |
| 38 | ELWOOD Sebastian F. | - | 1% | 5% | 18% | 34% | 31% | 11% |
| 39 | SOTO-ULEV Aden A. | 2% | 12% | 31% | 36% | 17% | 3% | |
| 40 | MIN Eric | - | 1% | 7% | 26% | 42% | 24% | |
| 41 | GONG Benjamin | - | - | 3% | 17% | 38% | 33% | 9% |
| 42 | MEJIA MATTHEW D. | - | - | 4% | 19% | 40% | 33% | 4% |
| 43 | WONG Garrick G. | - | - | 3% | 14% | 32% | 36% | 15% |
| 44 | DESHMUKH Arjun | - | 4% | 17% | 33% | 32% | 12% | 1% |
| 45 | ROSE Ben | - | 2% | 11% | 30% | 35% | 19% | 3% |
| 46 | SADOVSKY Leor B. | - | 2% | 14% | 36% | 34% | 13% | 2% |
| 46 | YAO Bradley | - | 1% | 10% | 30% | 40% | 18% | 1% |
| 46 | LEUNG Chu Ming Aiden | - | 3% | 17% | 34% | 32% | 13% | 2% |
| 49 | HUANG Eythan | 11% | 32% | 35% | 17% | 4% | - | - |
| 50 | ORR Spencer | - | 1% | 5% | 18% | 37% | 32% | 8% |
| 51 | KIAYIAS Aris | 20% | 42% | 30% | 7% | 1% | - | |
| 52 | KIM Ryan Y. | - | 2% | 12% | 32% | 38% | 15% | |
| 53 | CO Dylan | 1% | 11% | 33% | 35% | 16% | 3% | - |
| 54 | LIU Ethan | - | 1% | 7% | 26% | 41% | 23% | 1% |
| 55 | DINSAY Kristjan | - | 3% | 17% | 34% | 32% | 12% | 1% |
| 56 | MA Bryant | 1% | 7% | 25% | 37% | 24% | 6% | - |
| 57 | HOSKERI Anik S. | - | 3% | 18% | 35% | 31% | 11% | 1% |
| 58 | LI Matthew | - | 1% | 8% | 23% | 35% | 26% | 7% |
| 59 | XU Jia Bao (Bowen) | - | - | 2% | 12% | 35% | 41% | 9% |
| 60 | ZHEN Ethan | - | 1% | 5% | 20% | 38% | 30% | 6% |
| 61 | FUKUDA Diego | - | 4% | 17% | 35% | 33% | 11% | 1% |
| 62 | ZHOU Hao Kai (Kevin) | 5% | 24% | 37% | 25% | 8% | 1% | - |
| 63 | PARK Sky | 48% | 38% | 12% | 2% | - | - | - |
| 64 | WANG Ethan | 1% | 7% | 22% | 34% | 26% | 9% | 1% |
| 65 | SHAGIDANYAN German | 1% | 8% | 28% | 38% | 21% | 4% | - |
| 66 | SISINNI Riccardo | 3% | 18% | 37% | 30% | 11% | 2% | - |
| 67 | KIM Aiden | 1% | 10% | 29% | 36% | 20% | 4% | - |
| 68 | OH Jaden | 4% | 20% | 37% | 29% | 10% | 1% | - |
| 69 | LLIDO Soren | 1% | 7% | 24% | 36% | 25% | 7% | 1% |
| 70 | LIPPMAN Sam | 5% | 22% | 36% | 26% | 9% | 1% | - |
| 71 | ZHANG Jiening G. | 1% | 7% | 23% | 34% | 25% | 9% | 1% |
| 72 | ZHANG Aaron | - | 4% | 17% | 34% | 31% | 12% | 2% |
| 73 | GUERRA Gabriel H. | 1% | 6% | 21% | 35% | 27% | 10% | 1% |
| 74 | MAO Lucas | 12% | 34% | 34% | 16% | 4% | - | - |
| 75 | ZHENG zhe | 1% | 7% | 23% | 34% | 25% | 8% | 1% |
| 76 | GUTH Joseph | 1% | 11% | 30% | 35% | 19% | 4% | - |
| 77 | TANG Alexander L. | 2% | 23% | 39% | 27% | 8% | 1% | - |
| 77 | LEE Jonah | 1% | 6% | 22% | 34% | 26% | 10% | 1% |
| 77 | SUAREZ Adrian | 1% | 6% | 23% | 36% | 26% | 8% | - |
| 80 | SENIC Lucas | 1% | 10% | 27% | 34% | 21% | 6% | 1% |
| 81 | MARTIN IV Elmer D. | - | - | 4% | 15% | 33% | 34% | 13% |
| 82 | CHEN Kyle P. | 1% | 8% | 24% | 36% | 24% | 7% | - |
| 83 | WANG Brayden | 7% | 28% | 37% | 22% | 6% | 1% | - |
| 84 | NGUYEN martin | 16% | 38% | 32% | 12% | 2% | - | |
| 85 | LORENZO Alejandro | 4% | 22% | 37% | 27% | 9% | 1% | |
| 86 | CHEN Charlie Tian-You | - | 1% | 10% | 28% | 37% | 20% | 3% |
| 87 | SHEN Owen | 1% | 15% | 35% | 33% | 14% | 2% | - |
| 88 | LI Aaron | 1% | 9% | 28% | 36% | 21% | 5% | 1% |
| 89 | TALASILA Arush | 9% | 36% | 36% | 16% | 3% | - | - |
| 90 | QUINTERO Julian | 19% | 43% | 29% | 8% | 1% | - | - |
| 91 | SEMAPAKDI-CHANG Kaiden | - | 2% | 12% | 31% | 36% | 18% | 2% |
| 92 | PALMA Nathan Anthony | 1% | 12% | 33% | 36% | 15% | 2% | - |
| 93 | WECHSLER Jacob | - | 4% | 19% | 36% | 29% | 10% | 1% |
| 93 | LI Samuel | 13% | 39% | 34% | 12% | 2% | - | - |
| 93 | CHOI Ethan | - | 3% | 15% | 34% | 33% | 13% | 2% |
| 96 | HAN Derek | 4% | 20% | 35% | 29% | 11% | 2% | - |
| 97 | MATSAKH Philip | 1% | 6% | 24% | 36% | 25% | 8% | 1% |
| 98 | SHENG Dalton | 3% | 21% | 38% | 28% | 9% | 1% | - |
| 99 | TANG August L. | 2% | 16% | 33% | 31% | 14% | 3% | - |
| 100 | LING Eddie | 1% | 21% | 44% | 26% | 6% | 1% | - |
| 101 | PAN Henry | 17% | 42% | 32% | 8% | 1% | - | |
| 102 | TANG Albert | 16% | 41% | 33% | 9% | 1% | - | |
| 103 | PONS Diego | 26% | 42% | 24% | 7% | 1% | - | - |
| 103 | EDISON Ansel | 44% | 39% | 14% | 2% | - | - | - |
| 105 | PARK Sangmin | 14% | 35% | 33% | 15% | 3% | - | - |
| 106 | RASMUSSEN Sage | 6% | 26% | 36% | 23% | 8% | 1% | - |
| 107 | LAM Nicolas | 24% | 45% | 25% | 6% | 1% | - | - |
| 108 | MOE Annan | 14% | 35% | 34% | 14% | 3% | - | - |
| 109 | ARIZA Abraham J. | 4% | 39% | 41% | 14% | 2% | - | - |
| 110 | LEE Brendan | 2% | 14% | 32% | 33% | 16% | 3% | - |
| 111 | PETERSON Matthew | 33% | 41% | 20% | 5% | 1% | - | - |
| 112 | WU Lucas | 4% | 21% | 37% | 28% | 9% | 1% | - |
| 112 | KUANG Aaron | 15% | 38% | 33% | 12% | 2% | - | - |
| 114 | CHOE Jayden K. | 3% | 20% | 35% | 28% | 11% | 2% | - |
| 115 | LAI Twayne | 11% | 32% | 35% | 18% | 4% | - | - |
| 116 | RIECK Brennan | 8% | 27% | 35% | 22% | 7% | 1% | - |
| 117 | ZENG Rick | 17% | 39% | 31% | 11% | 2% | - | |
| 118 | HIGGASON Hugh | 81% | 18% | 1% | - | - | - | - |
| 119 | LI Matthew | < 1% | 6% | 21% | 35% | 27% | 9% | 1% |
| 120 | RODRIGUEZ Lazaro S. | 13% | 35% | 34% | 15% | 3% | - | - |
| 121 | ZHAO Adam | 16% | 37% | 32% | 13% | 2% | - | - |
| 122 | HUTH Trevor | 1% | 6% | 22% | 34% | 27% | 10% | 1% |
| 123 | ZOU Yuming | 32% | 45% | 19% | 4% | - | - | - |
| 124 | AGRAWAL Niki | 36% | 42% | 18% | 4% | - | - | - |
| 125 | HUANG Zijian | 28% | 43% | 23% | 6% | 1% | - | - |
| 126 | KUE Temujin | 48% | 42% | 9% | 1% | - | - | - |
| 126 | JIANG Yehong | 43% | 40% | 14% | 2% | - | - | - |
| 128 | NOFZIGER Bennett | 33% | 45% | 19% | 3% | - | - | - |
| 129 | HE Tyler | 42% | 40% | 15% | 3% | - | - | - |
| 130 | CROOM Tucker | 66% | 28% | 5% | - | - | - | - |
| 131 | RIPA Joseph K. | 38% | 42% | 16% | 3% | - | - | - |
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.