Greater Columbus Convention Center - Columbus, OH, 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 | GASSNER Ethan I. | - | - | - | - | 3% | 24% | 72% |
| 2 | RUSADZE Nickolas | - | - | 1% | 6% | 21% | 41% | 32% |
| 3 | KAO Castor T. | - | - | - | 2% | 15% | 42% | 41% |
| 3 | LI Eric | - | 1% | 8% | 28% | 41% | 22% | |
| 5 | RADOSLAVOV Ivan-Asen | 1% | 9% | 25% | 33% | 23% | 8% | 1% |
| 6 | SONG Noel | - | 5% | 22% | 39% | 26% | 7% | 1% |
| 7 | MITBERG Gregory W. | - | - | - | 3% | 24% | 72% | |
| 8 | SULLIVAN Jackson R. | - | - | - | 5% | 26% | 52% | 18% |
| 9 | MIN Eric | - | 1% | 5% | 18% | 35% | 31% | 10% |
| 10 | KIM Daniel Y. | 2% | 14% | 31% | 33% | 17% | 3% | |
| 11 | TANG Albert | - | 1% | 9% | 25% | 36% | 23% | 5% |
| 12 | JITTAN daniel | - | 4% | 17% | 35% | 33% | 11% | |
| 13 | WU Alber Y. | 1% | 11% | 31% | 38% | 18% | 1% | |
| 14 | REYES Omar | 1% | 8% | 26% | 37% | 22% | 5% | - |
| 15 | MIALL Steven A. | - | 1% | 8% | 25% | 37% | 24% | 6% |
| 16 | QIAN Jason H. | - | 2% | 12% | 32% | 38% | 15% | |
| 17 | LEE Benjamin H. | - | - | - | - | 5% | 36% | 58% |
| 18 | GRIFFIN John O. | - | - | - | - | 5% | 33% | 61% |
| 19 | DIERKS Kian | - | - | 1% | 5% | 22% | 42% | 31% |
| 20 | CANNON Caiden C. | - | - | - | 5% | 31% | 63% | |
| 21 | DESHMUKH Arjun | - | - | 2% | 12% | 34% | 39% | 14% |
| 22 | COSTELLO Chaissen F. | - | - | 4% | 22% | 45% | 28% | |
| 23 | SCHLESINGER Nathan | - | 1% | 8% | 27% | 41% | 23% | |
| 24 | LEE Brendan | - | 3% | 14% | 33% | 36% | 15% | |
| 25 | TRAUGOT Owen G. | - | - | 2% | 11% | 28% | 38% | 21% |
| 26 | WANG Rory | 2% | 16% | 34% | 31% | 14% | 3% | - |
| 27 | DOCTOR Aidan L. | - | 2% | 9% | 26% | 35% | 22% | 5% |
| 28 | GOGOI Vir K. | 16% | 38% | 32% | 12% | 2% | - | - |
| 29 | NUNNINK Phillip W. | - | 3% | 16% | 35% | 34% | 11% | |
| 30 | SCHULZE-KALT Graydon L. | - | - | 2% | 10% | 29% | 40% | 19% |
| 31 | SHAGIDANYAN German | 2% | 13% | 32% | 34% | 16% | 3% | - |
| 32 | MEJIA MATTHEW D. | 1% | 11% | 31% | 38% | 18% | 2% | |
| 33 | GUERRA Gabriel H. | - | - | 2% | 12% | 31% | 38% | 17% |
| 34 | NICOLETTI Luca | - | 4% | 16% | 31% | 31% | 15% | 2% |
| 35 | STREB JR. Joseph T. | - | 2% | 10% | 28% | 38% | 21% | 2% |
| 36 | JIANG Owen | - | 1% | 7% | 22% | 36% | 27% | 7% |
| 37 | LI Arvin | - | 4% | 14% | 29% | 32% | 17% | 3% |
| 38 | KRYLTSOV Michael | 1% | 12% | 32% | 36% | 16% | 3% | |
| 39 | MILLER Jeffrey E. | - | - | 1% | 11% | 39% | 49% | |
| 39 | LIN James G. | - | 2% | 11% | 31% | 39% | 16% | |
| 41 | YAO Bradley | 1% | 12% | 33% | 36% | 15% | 1% | |
| 42 | PLASTARAS Trey | 18% | 40% | 30% | 10% | 1% | - | |
| 43 | WOO Christian | - | - | 1% | 6% | 22% | 41% | 30% |
| 44 | ZHAI Jeffrey | - | - | 2% | 10% | 27% | 39% | 22% |
| 45 | MILLER Jordan | 5% | 19% | 33% | 28% | 12% | 3% | - |
| 46 | LEE Jonah | - | 2% | 13% | 33% | 37% | 14% | 1% |
| 47 | PARK Rion | 2% | 12% | 28% | 32% | 19% | 6% | 1% |
| 48 | ZOBEL Eric H. | - | - | 3% | 15% | 36% | 35% | 10% |
| 48 | FORTUNE Alexander J. | - | 5% | 21% | 37% | 28% | 9% | 1% |
| 50 | LU Royce | - | 3% | 13% | 28% | 33% | 19% | 4% |
| 51 | KIM Jackson | 2% | 12% | 27% | 32% | 20% | 6% | 1% |
| 52 | WENDLER Alexander J. | - | 3% | 15% | 34% | 33% | 13% | 2% |
| 53 | HAMMER Zachary (Zack) W. | 7% | 28% | 37% | 22% | 6% | 1% | |
| 54 | FENG Michael | 6% | 24% | 37% | 25% | 7% | 1% | |
| 55 | AHN Jun | - | 1% | 7% | 28% | 44% | 21% | |
| 56 | PALMA Matthew Dominic | 4% | 20% | 38% | 29% | 9% | 1% | |
| 57 | GRASS Andrew E. | - | - | - | 4% | 21% | 44% | 30% |
| 58 | SPROWLES Cameron D. | - | 1% | 8% | 23% | 35% | 26% | 7% |
| 59 | JU Alexander (Alex) Y. | - | - | 4% | 20% | 40% | 29% | 7% |
| 60 | KIM Brian | 5% | 22% | 36% | 26% | 9% | 2% | - |
| 61 | QUINONES Diego A. | 2% | 12% | 32% | 35% | 16% | 3% | |
| 62 | SEAL Maximus R. | 3% | 20% | 39% | 29% | 8% | 1% | |
| 63 | DONG Richard | 4% | 19% | 36% | 30% | 10% | 1% | |
| 64 | WILKINS Mateo | 11% | 31% | 33% | 18% | 5% | 1% | - |
| 65 | AKYAMAC Bora | 6% | 26% | 38% | 23% | 6% | 1% | |
| 66 | MA Andrew | - | 7% | 29% | 41% | 20% | 3% | |
| 67 | ANDRIC Borna | 5% | 20% | 33% | 27% | 12% | 2% | - |
| 68 | LIGOS Alex M. | 5% | 20% | 33% | 27% | 12% | 3% | - |
| 69 | QIU Zhaocheng | 5% | 26% | 40% | 23% | 5% | - | |
| 70 | TAN Aidan | 1% | 9% | 28% | 37% | 21% | 4% | |
| 71 | DOBBINS Evan W. | - | 1% | 9% | 28% | 40% | 22% | |
| 72 | CHUANG Oscar | 17% | 36% | 31% | 13% | 3% | - | |
| 73 | LI Aaron | 5% | 23% | 38% | 26% | 7% | 1% | |
| 74 | BING Charles | - | - | 2% | 11% | 35% | 42% | 10% |
| 75 | TANG August L. | - | 2% | 12% | 30% | 34% | 18% | 4% |
| 76 | PO Oliver | - | - | 3% | 12% | 30% | 37% | 18% |
| 77 | TALASILA Arush | 6% | 26% | 37% | 23% | 7% | 1% | - |
| 78 | WONG Garrick G. | - | 2% | 12% | 36% | 39% | 11% | 1% |
| 79 | LU Kevin | 4% | 17% | 32% | 29% | 14% | 3% | - |
| 80 | KATAYAMA Kevin | - | - | 2% | 12% | 39% | 47% | |
| 81 | MATSAKH Philip | - | 3% | 16% | 37% | 35% | 9% | |
| 82 | GATRELL Mitchell E. | 1% | 7% | 22% | 35% | 27% | 8% | |
| 83 | OH SEAN | - | 2% | 14% | 37% | 37% | 9% | |
| 84 | EDWARDS Maxon | 6% | 23% | 34% | 25% | 10% | 2% | - |
| 85 | PAN Henry | 1% | 10% | 27% | 35% | 21% | 6% | 1% |
| 86 | GIDDENS James | 20% | 41% | 28% | 9% | 1% | - | - |
| 87 | BAILEY William F. | 1% | 6% | 19% | 33% | 28% | 12% | 2% |
| 88 | ANDERSON Jacob | 5% | 21% | 33% | 27% | 12% | 2% | - |
| 89 | KLOTZ Isaiah | - | 3% | 13% | 29% | 33% | 18% | 4% |
| 89 | LIPPMAN Sam | 1% | 11% | 29% | 34% | 19% | 5% | - |
| 89 | WU Trevor | 6% | 24% | 35% | 25% | 9% | 2% | - |
| 92 | KEE Andrew L. | 1% | 5% | 18% | 32% | 30% | 13% | 2% |
| 92 | TANG Alexander L. | 7% | 26% | 37% | 24% | 6% | 1% | - |
| 94 | LI Matthew | - | - | 1% | 8% | 26% | 41% | 24% |
| 95 | REICHEL Ezra | 10% | 35% | 38% | 15% | 2% | - | - |
| 96 | MAO Lucas | 7% | 25% | 34% | 24% | 9% | 2% | - |
| 97 | LOCKWOOD Jacob | 50% | 38% | 10% | 1% | - | - | - |
| 98 | LI Jett | 12% | 34% | 34% | 16% | 4% | - | |
| 99 | TIKHAEV Alexander | 1% | 12% | 37% | 35% | 13% | 2% | |
| 100 | ELWOOD Sebastian F. | - | 1% | 10% | 30% | 41% | 19% | |
| 101 | CHEZ Nolan | 20% | 43% | 29% | 8% | 1% | - | |
| 102 | LYNCH Owen C. | 20% | 40% | 29% | 9% | 1% | - | |
| 103 | LEE Jacob | 3% | 16% | 34% | 32% | 13% | 2% | |
| 104 | KIM Jonah | 43% | 41% | 14% | 2% | - | - | |
| 105 | SIMA Congyu Josh | 1% | 8% | 26% | 38% | 23% | 5% | |
| 105 | SHAO Eric | 6% | 24% | 36% | 25% | 8% | 1% | |
| 107 | STRINGER David | 6% | 28% | 39% | 22% | 5% | - | |
| 108 | LEVY Jacob | 14% | 36% | 34% | 14% | 2% | - | |
| 109 | LI Samuel | 3% | 17% | 33% | 31% | 13% | 2% | |
| 110 | BOYKO Miles | 14% | 35% | 33% | 14% | 3% | - | |
| 111 | EDISON Ansel | 9% | 32% | 38% | 17% | 3% | - | - |
| 112 | KIM Aiden | 4% | 27% | 39% | 23% | 6% | 1% | - |
| 113 | MILLER Andrew | 1% | 7% | 22% | 33% | 26% | 10% | 1% |
| 114 | KALIPERSAD Neil A. | 30% | 44% | 22% | 4% | - | - | - |
| 115 | ZHEN Ethan | 2% | 12% | 28% | 32% | 20% | 6% | 1% |
| 116 | SINHA Verdhaan | 2% | 15% | 33% | 32% | 15% | 3% | - |
| 117 | LEE Christopher T. | 2% | 18% | 37% | 30% | 11% | 2% | - |
| 117 | DINSAY Kristjan | - | 5% | 17% | 31% | 30% | 15% | 3% |
| 119 | NOWAK Joseph A. | 1% | 6% | 20% | 32% | 27% | 11% | 2% |
| 120 | RUBIN Max | 13% | 35% | 34% | 15% | 3% | - | - |
| 121 | PARK Sky | - | 5% | 24% | 41% | 25% | 4% | - |
| 122 | WOJCIECHOWSKI Matthew N. | 1% | 6% | 21% | 35% | 27% | 10% | 1% |
| 122 | LI Matthew | - | 5% | 20% | 35% | 28% | 11% | 1% |
| 124 | DAVIDSON Elliot | 1% | 5% | 21% | 35% | 27% | 10% | 1% |
| 125 | JI Aidan Y. | 4% | 19% | 33% | 29% | 12% | 3% | - |
| 126 | GUTIERREZ Nick A. | - | 3% | 14% | 31% | 34% | 16% | 3% |
| 127 | ZHAO Adam | 14% | 39% | 33% | 12% | 2% | - | |
| 128 | ELKOUSY Laith H. | - | 4% | 17% | 34% | 33% | 12% | |
| 129 | WANG Ethan | 3% | 16% | 31% | 30% | 16% | 4% | - |
| 130 | RUFFNER Blake W. | - | - | 4% | 16% | 34% | 33% | 12% |
| 131 | VISHAWADIA Jaimin | 11% | 36% | 37% | 14% | 2% | - | - |
| 132 | JIANG Bowang | 6% | 26% | 37% | 23% | 7% | 1% | - |
| 133 | JEFFERY Jakob | 9% | 29% | 36% | 20% | 5% | - | - |
| 134 | WANG Winston | 1% | 8% | 25% | 36% | 24% | 6% | |
| 135 | SMITH Grant D. | 18% | 40% | 31% | 10% | 1% | - | |
| 136 | BOLTON Lucas R. | - | 1% | 8% | 28% | 42% | 21% | |
| 136 | LIU William | 10% | 31% | 36% | 19% | 4% | - | |
| 138 | LI Avery Peihong | 15% | 37% | 33% | 13% | 2% | - | |
| 139 | RAJ Jay | 15% | 37% | 33% | 13% | 2% | - | |
| 140 | YANG Dylan | 26% | 44% | 24% | 5% | - | - | |
| 141 | SCHIENEMAN Valentine | 30% | 43% | 21% | 5% | - | - | |
| 142 | HOWLAND Jonas | 16% | 46% | 30% | 7% | 1% | - | |
| 143 | GORDON Jacob | - | 6% | 25% | 42% | 24% | 4% | |
| 144 | PALMA Nathan Anthony | 18% | 39% | 30% | 11% | 2% | - | |
| 145 | HUANG Eythan | 4% | 21% | 37% | 28% | 9% | 1% | |
| 146 | ZHONG Maxwell | 33% | 42% | 20% | 4% | - | - | |
| 147 | AGRAWAL Niki | 32% | 42% | 21% | 5% | 1% | - | - |
| 148 | CHAN Matthew | 1% | 5% | 17% | 31% | 30% | 14% | 2% |
| 149 | CHO Xzander | 21% | 41% | 28% | 9% | 1% | - | - |
| 150 | VANOYEN Dominick | 12% | 38% | 35% | 12% | 2% | - | - |
| 151 | CONVERSE Warren D. | 25% | 42% | 25% | 7% | 1% | - | - |
| 152 | LEE Eugene | 4% | 24% | 37% | 25% | 8% | 1% | - |
| 153 | RYAN Connor Q. | < 1% | 5% | 23% | 40% | 27% | 4% | |
| 154 | WU Lucas | 6% | 24% | 37% | 25% | 7% | 1% | - |
| 155 | MCISAAC Finn | 5% | 22% | 34% | 26% | 11% | 2% | - |
| 156 | CAPRA Ethan | 5% | 22% | 35% | 27% | 10% | 1% | |
| 156 | GNEUHS Sam | 49% | 40% | 10% | 1% | - | - | |
| 158 | CHIN Ryan | 31% | 44% | 21% | 4% | - | - | - |
| 158 | KENNEDY christo | 35% | 41% | 19% | 4% | - | - | - |
| 160 | HOLLIDAY Christopher Mansfield-Scott | 60% | 33% | 7% | 1% | - | - | - |
| 161 | FINLEY Dylan | 15% | 35% | 31% | 14% | 3% | - | - |
| 162 | O'BRIEN Jack K. | < 1% | 2% | 14% | 33% | 35% | 14% | 1% |
| 163 | ORLOV Dmitriy | 10% | 29% | 34% | 20% | 6% | 1% | - |
| 164 | LEWIS Jared | 8% | 26% | 34% | 22% | 8% | 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.