The Round Rock Sports Center - Round Rock, 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 | GUFFEY Christopher | - | - | 1% | 9% | 43% | 47% | |
| 2 | KALPATHY Rohit | - | - | - | 3% | 18% | 42% | 37% |
| 3 | LI Yiwei | - | - | 2% | 10% | 29% | 40% | 20% |
| 3 | ZHAO Zhiyu | 4% | 20% | 34% | 28% | 11% | 2% | - |
| 5 | LI Howard | - | - | 2% | 14% | 41% | 43% | |
| 6 | TANI Tino | - | - | 4% | 19% | 38% | 32% | 8% |
| 7 | KIM Ethan | - | 1% | 5% | 22% | 43% | 29% | |
| 8 | TUNG Ryan | 1% | 8% | 30% | 38% | 20% | 4% | |
| 9 | CHON Collin | - | - | 3% | 13% | 31% | 37% | 17% |
| 10 | PASTORE LIU Vince | - | - | - | 4% | 18% | 41% | 37% |
| 11 | CHUNG Connor | - | 3% | 14% | 33% | 36% | 14% | |
| 12 | NARDINI Nathanael P. | - | - | 3% | 22% | 50% | 24% | |
| 13 | KIM ELIJAH | - | - | 5% | 22% | 43% | 30% | |
| 14 | SKARBONKIEWICZ Maksymilian A. | - | 1% | 6% | 22% | 36% | 27% | 7% |
| 15 | LI linze | - | 2% | 10% | 26% | 35% | 22% | 5% |
| 16 | ZHAO Lucas | 1% | 7% | 26% | 38% | 23% | 5% | |
| 17 | HUNG Samuel | - | 1% | 6% | 21% | 36% | 28% | 7% |
| 18 | HOLZ Lucas | - | 2% | 8% | 23% | 34% | 25% | 7% |
| 19 | PINTO Marcus | - | 1% | 8% | 27% | 38% | 22% | 4% |
| 20 | WANG Zhuoyi | - | 1% | 8% | 29% | 41% | 21% | |
| 21 | LI Yidong A. | 1% | 7% | 29% | 45% | 17% | 2% | |
| 22 | KANG Evan | - | 4% | 18% | 38% | 32% | 8% | |
| 23 | ANDRES Michael | - | 2% | 11% | 30% | 39% | 19% | |
| 24 | KANG Matthew | - | 3% | 18% | 38% | 32% | 9% | |
| 25 | TSAO Oliver | 1% | 11% | 30% | 36% | 19% | 4% | |
| 26 | CLARK Aram | - | 1% | 5% | 18% | 35% | 32% | 10% |
| 27 | GAY Jono | - | 4% | 21% | 40% | 28% | 6% | |
| 28 | SAMMI Mukul | - | 14% | 38% | 34% | 12% | 2% | |
| 29 | MUNGUIA Nathan | - | 4% | 18% | 37% | 31% | 9% | |
| 30 | HWANG Jayden | - | 2% | 15% | 37% | 35% | 11% | |
| 31 | STURGEON Cole | 2% | 10% | 27% | 34% | 21% | 6% | 1% |
| 32 | GREMILLION Obadiah | 1% | 31% | 43% | 21% | 4% | - | |
| 33 | CRAIG Andrew | 1% | 11% | 31% | 37% | 17% | 2% | |
| 34 | LIN Philip T. | 2% | 15% | 35% | 33% | 13% | 2% | |
| 35 | LIU Yijin | 4% | 21% | 35% | 27% | 10% | 2% | - |
| 36 | MEADE Liam Robert | 10% | 30% | 35% | 19% | 5% | 1% | - |
| 37 | HUBLALL Ethan | 5% | 24% | 37% | 26% | 8% | 1% | |
| 38 | SASSI Ilyas | 14% | 37% | 34% | 13% | 2% | - | |
| 39 | VEDRE Neil | 19% | 47% | 27% | 6% | 1% | - | |
| 40 | TSAO Alister | 19% | 43% | 30% | 7% | - | - | |
| 41 | KROON Landon | 21% | 42% | 28% | 8% | 1% | - | |
| 42 | GU Andrew | 1% | 6% | 20% | 34% | 28% | 10% | 1% |
| 43 | CAO Donald | 1% | 7% | 26% | 38% | 23% | 5% | - |
| 44 | TRENK Adam | - | 4% | 26% | 39% | 23% | 6% | 1% |
| 45 | CHANG Timothy | 2% | 14% | 33% | 33% | 15% | 3% | - |
| 46 | SALMAN Hamzah | 22% | 42% | 27% | 8% | 1% | - | |
| 47 | KWON Kenneth | 23% | 41% | 27% | 8% | 1% | - | |
| 48 | DAI Zihou | - | 3% | 18% | 38% | 32% | 9% | |
| 49 | DEELY Hartigan | 5% | 23% | 38% | 27% | 8% | 1% | |
| 50 | NAMBIAR Navin | 24% | 44% | 26% | 5% | - | - | |
| 51 | WOSTER Matthew (Mateo) | 11% | 31% | 34% | 18% | 5% | 1% | - |
| 52 | ZHANG KAIQI | 4% | 19% | 34% | 28% | 12% | 2% | - |
| 53 | TUNIK Joshuah | 29% | 47% | 20% | 4% | - | - | - |
| 54 | KOTVALI Aneesh | 33% | 46% | 18% | 3% | - | - | - |
| 55 | HAMMERS Neel | 11% | 32% | 34% | 18% | 5% | 1% | - |
| 56 | ZHOU William | 15% | 35% | 32% | 14% | 3% | - | - |
| 57 | BAI Evan | 4% | 20% | 35% | 29% | 11% | 2% | - |
| 58 | BRUM Charles E. | 8% | 28% | 36% | 21% | 6% | 1% | - |
| 59 | KIM Yusung | 43% | 42% | 13% | 2% | - | - | |
| 60 | OLSON Kai | 11% | 37% | 38% | 12% | 1% | - | |
| 61 | XIAO Brayden | 8% | 28% | 37% | 21% | 6% | 1% | |
| 62 | XUE Leo | 22% | 42% | 27% | 8% | 1% | - | |
| 63 | FRAZIER Jacob | 92% | 8% | - | - | - | - | |
| 64 | PATIL Ronit | 4% | 24% | 38% | 25% | 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.