Main Hall Dallas Market Center - Dallas, TX, 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 | YANG Gary | - | - | 1% | 6% | 23% | 41% | 29% |
| 2 | QIAN Irvine | - | 1% | 6% | 22% | 38% | 27% | 6% |
| 3 | KIM Henry | - | - | - | 3% | 17% | 42% | 37% |
| 3 | KIM Gene | - | - | 1% | 8% | 26% | 41% | 24% |
| 5 | MEHROTRA Neel | - | - | 2% | 11% | 29% | 39% | 19% |
| 6 | CHANG Matthew | 2% | 11% | 28% | 33% | 20% | 5% | 1% |
| 7 | SINGLETON Aman | - | - | 2% | 11% | 30% | 38% | 19% |
| 8 | LESCURE Dimitri | - | 1% | 7% | 29% | 46% | 18% | |
| 9 | LIOZNYANSKY Miron | - | - | 1% | 9% | 27% | 40% | 23% |
| 10 | LI Tristan | - | - | 4% | 15% | 32% | 34% | 14% |
| 11 | SANCHEZ Emanuel | - | - | 1% | 11% | 42% | 46% | |
| 12 | DECKER Hunter | - | 1% | 5% | 20% | 38% | 29% | 7% |
| 13 | CAMPOS Sebastian | 2% | 15% | 33% | 32% | 15% | 3% | - |
| 14 | CHAN Kyle Si Tin | 2% | 16% | 34% | 32% | 13% | 2% | - |
| 15 | CHANEY Charles | - | 4% | 18% | 33% | 30% | 13% | 2% |
| 16 | ZHANG Albert | - | 1% | 9% | 26% | 36% | 22% | 5% |
| 17 | SEEFELDT William Henry C. | - | - | - | 1% | 9% | 36% | 55% |
| 18 | DADE MAXIMUS | - | 2% | 10% | 26% | 35% | 22% | 5% |
| 19 | IBANEZ Benjamin | - | 2% | 11% | 30% | 37% | 18% | 2% |
| 20 | PARKS-GOOD Tyler | 2% | 15% | 39% | 33% | 10% | 1% | |
| 21 | DINH Nam | 2% | 13% | 30% | 33% | 18% | 5% | - |
| 22 | SOOS Whitman | - | 1% | 7% | 23% | 37% | 26% | 6% |
| 23 | KIM Leejay | 12% | 38% | 34% | 13% | 3% | - | - |
| 24 | YAO Tristan | 9% | 30% | 35% | 20% | 6% | 1% | - |
| 25 | VAN RIET Stefan | 1% | 10% | 28% | 35% | 20% | 5% | - |
| 26 | TRACY James | - | 1% | 6% | 20% | 36% | 29% | 9% |
| 27 | MULDOON Thomas | - | - | 3% | 13% | 32% | 37% | 14% |
| 28 | VEERAVALLI Vivek | - | 4% | 17% | 35% | 32% | 11% | 1% |
| 29 | GOODMAN Benjamin | 1% | 12% | 36% | 37% | 12% | 1% | |
| 30 | KIM Julian | 2% | 15% | 35% | 32% | 13% | 2% | - |
| 31 | MICU Constantin | 1% | 5% | 18% | 32% | 30% | 13% | 2% |
| 32 | WU Jiachen | 24% | 42% | 26% | 7% | 1% | - | - |
| 33 | OLSON Joseph | 4% | 18% | 33% | 29% | 13% | 3% | - |
| 34 | TUMULA Arihaan | 1% | 11% | 30% | 34% | 18% | 5% | - |
| 35 | VAN VACTER Thomas | 1% | 8% | 25% | 34% | 24% | 8% | 1% |
| 36 | CHEN Ryan | - | 1% | 7% | 25% | 39% | 24% | 4% |
| 37 | ZHAI Junqi | - | 5% | 18% | 33% | 30% | 12% | 2% |
| 38 | OBREBSKI Kevin | - | 2% | 10% | 28% | 35% | 20% | 4% |
| 38 | HUANG Ethan | 16% | 37% | 31% | 13% | 3% | - | - |
| 38 | MIKHAIL Lucas | - | 3% | 15% | 32% | 32% | 15% | 3% |
| 41 | TSIEN Richard | 1% | 7% | 24% | 35% | 24% | 7% | 1% |
| 42 | CHO Adrian | 4% | 19% | 34% | 28% | 12% | 2% | - |
| 43 | COHEN Nathan | - | 3% | 15% | 31% | 32% | 16% | 3% |
| 44 | KIM Doyun | 6% | 22% | 34% | 26% | 10% | 2% | - |
| 45 | ZHENG Jason | 5% | 23% | 36% | 25% | 9% | 2% | - |
| 46 | CHO Alex | - | - | 3% | 14% | 32% | 36% | 14% |
| 47 | SHIM Jae | 1% | 11% | 28% | 34% | 20% | 6% | 1% |
| 48 | ZHAN ETHAN | 36% | 41% | 18% | 4% | - | - | - |
| 49 | SABAH Alan | 13% | 37% | 34% | 13% | 2% | - | - |
| 50 | GONZALEZ Kian | - | 1% | 6% | 20% | 35% | 29% | 8% |
| 51 | CHEN Tianjun | 1% | 10% | 29% | 35% | 20% | 5% | - |
| 52 | RODRIGUEZ Alejandro | 6% | 27% | 38% | 22% | 6% | 1% | - |
| 53 | SATHYAN Dev | 7% | 27% | 38% | 22% | 6% | 1% | - |
| 54 | YANG Junhu | 51% | 37% | 11% | 2% | - | - | - |
| 55 | SMALL slater | 26% | 45% | 24% | 5% | - | - | |
| 56 | MODI Rohan | 10% | 30% | 34% | 19% | 5% | 1% | - |
| 57 | TREVINO Lucas | 41% | 42% | 15% | 2% | - | - | - |
| 58 | LEE Harrison | 15% | 36% | 32% | 14% | 3% | - | - |
| 59 | SUYAMA Ryuki | 3% | 26% | 42% | 23% | 5% | 1% | - |
| 60 | SEYMOUR Phoenix | 40% | 41% | 16% | 3% | - | - | - |
| 61 | BRESLAV Asher | 30% | 46% | 20% | 3% | - | - | |
| 62 | KIM Alexander | 11% | 31% | 34% | 18% | 5% | 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.