Denver Fencing Center - Denver, CO, 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 | WU Alber Y. | - | - | - | - | 5% | 30% | 65% |
| 2 | DESERANNO Leander | - | - | 2% | 13% | 40% | 45% | |
| 3 | SENIC Lucas | - | - | - | 2% | 13% | 41% | 44% |
| 3 | TOOMRE Kai | - | 2% | 12% | 27% | 33% | 20% | 5% |
| 5 | CHOI Ethan | - | 1% | 10% | 31% | 40% | 18% | |
| 6 | LI Richard | 1% | 8% | 28% | 39% | 22% | 4% | |
| 7 | LU Kevin | - | - | 1% | 11% | 33% | 39% | 15% |
| 8 | KAWADA Sebastien | - | - | - | 5% | 24% | 43% | 27% |
| 9 | BIELER Mason | - | 2% | 12% | 32% | 38% | 16% | |
| 10 | HAYES Stewart | - | 2% | 12% | 30% | 35% | 18% | 3% |
| 11 | CHAN Joseph | 1% | 6% | 21% | 33% | 27% | 11% | 2% |
| 12 | CHANG Jonathan | 1% | 8% | 28% | 38% | 22% | 4% | |
| 13 | YANG Charles | - | 1% | 6% | 23% | 41% | 28% | |
| 14 | YU ZiRun (Kinton) | 2% | 14% | 32% | 33% | 16% | 3% | |
| 15 | ZHOU Ryan | 1% | 10% | 26% | 33% | 22% | 7% | 1% |
| 16 | ZHONG Maxwell | 6% | 33% | 41% | 17% | 3% | - | - |
| 17 | TSAY Jordan R. | - | 1% | 9% | 31% | 41% | 18% | |
| 18 | CHANG Jeremy | - | 2% | 13% | 35% | 37% | 13% | |
| 19 | CHEN Matthew | - | 6% | 24% | 40% | 26% | 5% | |
| 20 | LOZANO Veyron Jericho | - | 9% | 28% | 37% | 21% | 5% | |
| 21 | DENG David | - | 8% | 27% | 37% | 22% | 5% | |
| 22 | RODRIGUEZ Tyler | - | 1% | 5% | 19% | 38% | 31% | 7% |
| 23 | ZHANG Raphael | - | 1% | 9% | 27% | 38% | 22% | 3% |
| 23 | WANG Tiger | - | 4% | 19% | 38% | 29% | 9% | 1% |
| 25 | ONG Nicholas | - | 4% | 16% | 33% | 33% | 13% | 1% |
| 26 | WANDJI Noah | - | 4% | 19% | 36% | 30% | 9% | |
| 27 | CHEN Ethan | - | 1% | 8% | 30% | 42% | 19% | |
| 28 | ZHANG Albert | 1% | 6% | 22% | 37% | 27% | 7% | |
| 29 | DOELL Ethan | - | 2% | 13% | 36% | 37% | 12% | |
| 30 | FUKUDA Brando | 2% | 12% | 30% | 35% | 18% | 3% | |
| 31 | MANIKTALA Suvir | - | 7% | 31% | 39% | 19% | 3% | |
| 32 | HUANG Nathan | 8% | 33% | 40% | 16% | 3% | - | - |
| 33 | CHENG Logan | - | 1% | 4% | 16% | 33% | 33% | 13% |
| 34 | TSUI Raedyn Ho Hin | 1% | 8% | 26% | 36% | 23% | 6% | - |
| 35 | HUYNH Matthew | 6% | 25% | 36% | 24% | 8% | 1% | - |
| 36 | LIU Josh | 2% | 13% | 31% | 34% | 17% | 3% | |
| 37 | MAZAHERI Fletcher | 10% | 37% | 38% | 13% | 2% | - | |
| 38 | KUANG Cyrus | 2% | 16% | 37% | 33% | 12% | 1% | |
| 39 | CHUANG Oscar | - | 3% | 17% | 35% | 32% | 11% | |
| 40 | QU Zhida (Richard) | 2% | 16% | 36% | 32% | 13% | 2% | |
| 41 | YU ShiLin (Harry) | 7% | 31% | 40% | 19% | 4% | - | |
| 42 | CHEN Jason | 18% | 42% | 31% | 8% | 1% | - | |
| 43 | YU ShiYu (Henry) | 7% | 27% | 36% | 23% | 6% | 1% | |
| 44 | HE Ian | 3% | 17% | 35% | 31% | 12% | 2% | - |
| 45 | ZHOU Shawn | - | 3% | 13% | 29% | 33% | 19% | 4% |
| 46 | YE Jerry | 17% | 38% | 31% | 12% | 2% | - | - |
| 47 | YOU Alan | 5% | 22% | 34% | 26% | 11% | 2% | - |
| 48 | GUDIMETLA Siddhanth | 12% | 35% | 35% | 15% | 3% | - | - |
| 49 | CHIANG Aiden | 7% | 28% | 37% | 22% | 6% | 1% | |
| 50 | BANUELOS Dario | 28% | 45% | 22% | 4% | - | - | |
| 51 | MCCONKEY Tristan | 19% | 42% | 29% | 9% | 1% | - | |
| 52 | WU Thomas | 5% | 29% | 39% | 22% | 5% | - | |
| 53 | SCHWITZER Eliot | 3% | 17% | 37% | 31% | 11% | 1% | |
| 54 | ZENG Albert | 7% | 28% | 37% | 22% | 6% | 1% | - |
| 55 | CHANG Eric Jonathan | - | < 1% | 5% | 22% | 40% | 27% | 6% |
| 56 | WANG Elijah (QiChen) | 55% | 36% | 8% | 1% | - | - | |
| 57 | HONG Edwin | 43% | 42% | 13% | 2% | - | - | |
| 58 | YAN Rian | 20% | 39% | 29% | 10% | 2% | - | |
| 58 | HARRIS Hayden | 70% | 26% | 4% | - | - | - | |
| 60 | BONTA Aidan | 1% | 10% | 28% | 36% | 20% | 4% | |
| 61 | LEE Joshua | 33% | 41% | 20% | 5% | 1% | - | - |
| 62 | VALENCIA Anthony N. | 3% | 16% | 32% | 31% | 15% | 3% | - |
| 63 | BARNES Ian | 20% | 40% | 29% | 10% | 2% | - | - |
| 63 | MARQUEZ Elijah | 45% | 41% | 13% | 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.