Gaylord National Resort and Convention Center - National Harbor, MD, 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 | NGO Maximus | - | - | 1% | 5% | 22% | 43% | 30% |
| 2 | HENDERSON Lucas | - | - | 1% | 10% | 29% | 40% | 19% |
| 3 | SADHU Neiyam | - | 1% | 11% | 31% | 39% | 17% | |
| 3 | SO Preston | - | - | - | 2% | 13% | 42% | 43% |
| 5 | BIVIJI Ali | - | - | 1% | 7% | 25% | 41% | 26% |
| 6 | KOZLOFF Wyatt | - | 1% | 6% | 25% | 46% | 23% | |
| 7 | YAN William | - | - | - | 1% | 10% | 36% | 53% |
| 8 | ANAND Rohan | - | - | 3% | 14% | 32% | 35% | 15% |
| 9 | NARDINI Nathanael P. | - | 1% | 4% | 17% | 33% | 33% | 13% |
| 10 | LIU Aaron | - | - | 4% | 21% | 41% | 27% | 6% |
| 11 | KIARA Kinoti | - | 1% | 6% | 21% | 36% | 28% | 8% |
| 12 | WANG Weiyun | - | - | 1% | 6% | 27% | 44% | 22% |
| 13 | PRIEUR Christian F. | - | - | 4% | 20% | 39% | 29% | 7% |
| 14 | LIU Ryan | 1% | 7% | 21% | 33% | 27% | 10% | 2% |
| 15 | WAXLER Ryan | - | - | 3% | 15% | 36% | 35% | 11% |
| 16 | PAVLENISHVILI Luke | - | 6% | 28% | 40% | 22% | 4% | |
| 17 | ZHAO Lucas | - | - | - | 5% | 23% | 43% | 29% |
| 18 | LIU Victor | 1% | 5% | 21% | 37% | 29% | 8% | |
| 19 | NOVOSYOLOK Zachary | - | 2% | 14% | 36% | 36% | 12% | |
| 20 | SALDARINI Glenn | - | - | 2% | 13% | 33% | 37% | 15% |
| 21 | LIU Ethan | - | 3% | 17% | 34% | 31% | 13% | 2% |
| 22 | OH Aster | - | - | 1% | 5% | 22% | 43% | 28% |
| 23 | PORTER Dupree | - | - | 4% | 17% | 36% | 33% | 10% |
| 24 | VALENCIA Jose | - | - | 4% | 22% | 42% | 27% | 5% |
| 25 | BELAND Riley James "RJ" | - | 5% | 26% | 40% | 24% | 5% | |
| 26 | WONG Max | - | 4% | 16% | 31% | 31% | 15% | 3% |
| 27 | HUCHWAJDA Alex | - | - | - | 4% | 23% | 45% | 27% |
| 28 | ZHANG Kaixuan | - | - | 4% | 18% | 35% | 32% | 10% |
| 29 | MANNINO Miller | 10% | 30% | 34% | 19% | 5% | 1% | - |
| 30 | IYER Neil | - | 1% | 7% | 25% | 37% | 24% | 5% |
| 31 | LIN Brendan | - | 3% | 14% | 30% | 32% | 17% | 3% |
| 32 | CLARK Aram | - | 1% | 10% | 31% | 40% | 17% | |
| 33 | NOTOPRADONO Nicholas | - | 1% | 9% | 29% | 41% | 20% | |
| 34 | LIN Felix | - | 1% | 5% | 22% | 42% | 29% | |
| 35 | ZHENG LEON | - | - | 2% | 9% | 26% | 40% | 24% |
| 36 | CHEN Jonathan | - | - | - | 3% | 16% | 41% | 40% |
| 37 | BROENING-CHAI Jonas | - | 1% | 6% | 23% | 38% | 26% | 6% |
| 38 | JI Johnson | - | 6% | 23% | 36% | 25% | 8% | 1% |
| 39 | ATWOOD Griffin | - | 1% | 5% | 22% | 42% | 30% | |
| 40 | VEDRE Neil | - | 3% | 16% | 35% | 34% | 11% | |
| 41 | CHAWLA Abhishek | 9% | 32% | 38% | 18% | 3% | - | |
| 42 | SAGE Sebastian | - | 2% | 11% | 33% | 39% | 15% | |
| 43 | WANG Max | - | 3% | 13% | 30% | 34% | 17% | 3% |
| 44 | KAVZAN Toprak | 3% | 16% | 33% | 30% | 14% | 3% | - |
| 45 | LI Huangziyue | - | 2% | 12% | 30% | 36% | 17% | 3% |
| 46 | HE Zhikai (kyle) | 8% | 27% | 35% | 22% | 7% | 1% | - |
| 47 | SZULIM Lucjan | - | 2% | 11% | 29% | 35% | 19% | 3% |
| 48 | CHANG Ethan | 1% | 10% | 28% | 36% | 20% | 5% | - |
| 49 | PAUL James | 5% | 20% | 33% | 28% | 12% | 2% | - |
| 50 | BADMUS Joshua | 3% | 16% | 32% | 30% | 15% | 4% | - |
| 51 | PEREIRA Beckham | - | 1% | 12% | 34% | 39% | 14% | |
| 52 | XU Ivan | - | - | 6% | 25% | 43% | 25% | |
| 52 | LAMTAN Christoffer | 1% | 7% | 25% | 38% | 24% | 5% | |
| 54 | KARAVAS Nicholas | 3% | 18% | 36% | 30% | 11% | 1% | |
| 55 | ANAND Rishab | - | - | 2% | 16% | 45% | 37% | |
| 56 | RINALDI Savio | 3% | 17% | 34% | 31% | 13% | 2% | |
| 57 | AGARWAAL Yohan | 1% | 5% | 19% | 33% | 30% | 12% | 1% |
| 58 | TRZEPLA Max | - | 6% | 23% | 37% | 26% | 8% | 1% |
| 59 | ZHAO Royce | - | 2% | 10% | 25% | 34% | 23% | 6% |
| 60 | DAI Zihou | 1% | 8% | 25% | 34% | 23% | 8% | 1% |
| 61 | PADANILAM Thomas | 31% | 42% | 21% | 5% | 1% | - | |
| 62 | QIN toby | 6% | 24% | 37% | 25% | 8% | 1% | |
| 63 | ZWAKA Jonas | - | 6% | 22% | 36% | 27% | 8% | 1% |
| 64 | D'AMELJ Edoardo | 3% | 21% | 39% | 28% | 8% | 1% | |
| 65 | PATEL Rayn | - | - | 1% | 5% | 21% | 42% | 32% |
| 66 | WANG Theodore | - | 7% | 28% | 40% | 20% | 4% | - |
| 67 | BAI Evan | - | - | 1% | 9% | 30% | 42% | 18% |
| 68 | SUN Ryan | 6% | 24% | 34% | 25% | 9% | 2% | - |
| 69 | SAGE Nikolai | - | 5% | 21% | 35% | 27% | 9% | 1% |
| 70 | PARKILA Lukas | 1% | 6% | 20% | 33% | 28% | 11% | 1% |
| 71 | YU BOWEN | - | - | 2% | 12% | 36% | 39% | 11% |
| 72 | LUCAS William | - | 2% | 11% | 27% | 34% | 21% | 5% |
| 73 | HU Harry | - | 6% | 27% | 39% | 22% | 5% | - |
| 73 | CRAWFORD William | 8% | 27% | 34% | 22% | 7% | 1% | - |
| 75 | KITSON Chase | - | - | 2% | 10% | 27% | 39% | 22% |
| 76 | BOLLU Viren | - | 2% | 12% | 28% | 34% | 19% | 4% |
| 77 | WONG Reagan | 10% | 30% | 34% | 20% | 6% | 1% | - |
| 78 | YAO Zachary | 21% | 40% | 29% | 9% | 1% | - | - |
| 79 | HU Jayden | - | 3% | 18% | 40% | 30% | 8% | 1% |
| 80 | LAU Kyrus | 5% | 25% | 38% | 24% | 7% | 1% | - |
| 81 | GAMELIN DESJARDINS Etienne | 2% | 14% | 33% | 32% | 15% | 3% | - |
| 82 | COGLIANO Max | 4% | 19% | 33% | 28% | 12% | 3% | - |
| 83 | LUAN Mark | - | 2% | 9% | 25% | 35% | 23% | 6% |
| 84 | MENZIES Liam | 47% | 39% | 12% | 2% | - | - | |
| 85 | SAYAR Luke | 3% | 19% | 38% | 30% | 8% | 1% | |
| 86 | LIANG Morgan | 6% | 27% | 39% | 22% | 5% | - | |
| 87 | RICHMAN Izak | 41% | 44% | 13% | 2% | - | - | |
| 88 | BREUER Daniel | - | 3% | 13% | 29% | 33% | 19% | 4% |
| 89 | LEE Damian | 6% | 27% | 37% | 22% | 7% | 1% | - |
| 90 | YANG Justin | 6% | 24% | 35% | 24% | 9% | 1% | - |
| 91 | PERRIN Leo | - | 7% | 30% | 39% | 20% | 4% | - |
| 92 | MERMEGAS Alexander | 1% | 14% | 33% | 33% | 15% | 3% | - |
| 93 | LEUNG Arthur | 9% | 28% | 34% | 21% | 7% | 1% | - |
| 94 | ONG Dylan | - | 4% | 19% | 35% | 29% | 11% | 1% |
| 94 | ROSE Lucas | 1% | 8% | 23% | 33% | 25% | 10% | 2% |
| 96 | MEHTA Yash | 2% | 16% | 36% | 31% | 13% | 2% | - |
| 97 | KANE Kiran | 13% | 38% | 36% | 12% | 1% | - | - |
| 98 | KOHLER Vaughn | 29% | 42% | 22% | 5% | 1% | - | - |
| 98 | LUAN Stephen | 2% | 14% | 31% | 33% | 16% | 4% | - |
| 100 | DY Azriel | 65% | 30% | 5% | - | - | - | - |
| 101 | CHEN Ryan | 5% | 23% | 36% | 26% | 8% | 1% | |
| 102 | OREN Daniel | 5% | 24% | 39% | 25% | 6% | - | |
| 103 | LIAO Sirui | 19% | 42% | 29% | 8% | 1% | - | |
| 104 | STRUCKER Rocco | 7% | 28% | 38% | 22% | 6% | 1% | |
| 105 | NAYAK Surin K. | 2% | 10% | 26% | 33% | 21% | 7% | 1% |
| 106 | BALU Aedan | - | 3% | 14% | 30% | 33% | 17% | 3% |
| 107 | LEE Ivan | 21% | 43% | 28% | 7% | 1% | - | - |
| 108 | ALDANA Jeffery | 10% | 32% | 36% | 17% | 4% | - | - |
| 109 | SANTIAGO Roman | 6% | 33% | 41% | 17% | 3% | - | - |
| 110 | WEST-BEY Ahmad | 9% | 36% | 36% | 15% | 3% | - | - |
| 111 | WOMACK Theodore | 6% | 22% | 34% | 26% | 10% | 2% | - |
| 112 | NELKA Brenden | 2% | 13% | 32% | 34% | 16% | 3% | - |
| 113 | BRAMLETT Myer | 20% | 42% | 28% | 9% | 1% | - | - |
| 114 | MOON Noah | 36% | 41% | 18% | 4% | - | - | - |
| 115 | FENG Brendan | 1% | 9% | 24% | 34% | 24% | 8% | 1% |
| 116 | BENE Paul | 36% | 41% | 18% | 4% | - | - | - |
| 117 | KAUL Ishaan | 1% | 8% | 24% | 35% | 24% | 7% | 1% |
| 118 | SONG Aidan | 4% | 18% | 33% | 29% | 13% | 3% | - |
| 119 | JIN Yubo | 12% | 48% | 31% | 8% | 1% | - | - |
| 120 | ZHANG Simon | 19% | 43% | 30% | 7% | 1% | - | - |
| 121 | BENE Andrew | 6% | 30% | 39% | 20% | 5% | - | |
| 122 | LIEU Nicholas | 23% | 43% | 27% | 7% | 1% | - | |
| 123 | NG Nathaniel | 2% | 15% | 35% | 33% | 13% | 2% | |
| 124 | WAXLER Alex | 7% | 27% | 37% | 22% | 6% | 1% | - |
| 125 | LIN Alex | 20% | 39% | 29% | 10% | 2% | - | |
| 126 | BUKZIN Alan | 6% | 25% | 38% | 24% | 7% | 1% | - |
| 126 | LI Andrew | 10% | 30% | 34% | 19% | 6% | 1% | - |
| 128 | WITHAM Leo | 65% | 31% | 4% | - | - | - | - |
| 129 | PIPKE Garrett | 28% | 44% | 23% | 5% | 1% | - | - |
| 130 | YEAZEL Colin | 27% | 50% | 20% | 3% | - | - | |
| 131 | WANG Ziyao | 32% | 43% | 21% | 4% | - | - | |
| 132 | GARCIA RODRIGUEZ Juan Pablo | 62% | 32% | 6% | 1% | - | - | - |
| 133 | HAUSLER Jayden | 2% | 23% | 43% | 26% | 6% | 1% | - |
| 134 | MICHALSKI Brandon | 46% | 40% | 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.