Golisano Training Center at Nazareth University - Rochester, NY, 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 | XU Andy P. | - | - | - | 1% | 7% | 33% | 59% |
2 | GUTH Joseph | - | - | - | 4% | 18% | 41% | 36% |
3 | WONG Jackson | - | 2% | 13% | 36% | 36% | 12% | |
3 | CHEN Ethan | - | 3% | 13% | 32% | 36% | 16% | |
5 | HE Kyle | - | 1% | 8% | 23% | 35% | 26% | 7% |
6 | GULCHIN Mark (Yerma) | - | - | 1% | 8% | 26% | 40% | 25% |
7 | CHENG Logan | - | - | 5% | 26% | 47% | 21% | |
8 | WONG Jacob W. | - | 5% | 18% | 34% | 31% | 12% | 1% |
9 | PARRISH Evan | - | - | - | 2% | 17% | 48% | 33% |
10 | CHEN Kyle P. | - | - | 1% | 9% | 35% | 55% | |
11 | SHENG Dalton | - | - | - | 3% | 15% | 41% | 41% |
12 | LU Nathan | - | 1% | 9% | 26% | 37% | 23% | 3% |
13 | TANG Alexander L. | - | - | - | 2% | 12% | 38% | 48% |
14 | XIE Jicheng | 1% | 9% | 32% | 40% | 16% | 2% | |
15 | TOOMRE Kai | - | 2% | 11% | 29% | 36% | 19% | 3% |
16 | LI Bradley | - | 1% | 10% | 31% | 40% | 17% | |
17 | VOLLMER Quintin | - | - | - | 3% | 18% | 47% | 32% |
18 | ZHAO Nathan | - | - | 2% | 15% | 44% | 39% | |
19 | WANG Ancen | 2% | 13% | 33% | 35% | 15% | 2% | |
20 | BERNARD Cohen | - | 1% | 6% | 22% | 37% | 28% | 6% |
21 | SHAW eric | 1% | 12% | 31% | 34% | 17% | 4% | - |
22 | FOGELSON Hugh | - | 4% | 18% | 33% | 31% | 12% | 1% |
23 | MAZAHERI Fletcher | 5% | 22% | 36% | 26% | 9% | 1% | |
24 | ZENG Rick | - | 4% | 16% | 34% | 34% | 12% | |
25 | HE Ryan | 8% | 29% | 37% | 21% | 5% | - | |
26 | HAN Alexander | 2% | 14% | 32% | 33% | 15% | 3% | |
27 | MO Ethan | - | 2% | 13% | 34% | 37% | 12% | 1% |
28 | LI Edison M. | 2% | 14% | 31% | 32% | 16% | 4% | - |
29 | YU William | - | 1% | 9% | 27% | 37% | 22% | 4% |
30 | HUANG Chenghan | 1% | 8% | 24% | 35% | 24% | 7% | 1% |
31 | KO Caleb | - | 5% | 20% | 34% | 29% | 11% | 1% |
32 | XU Nathan | 17% | 37% | 31% | 12% | 2% | - | |
33 | YU ShiLin (Harry) | 1% | 6% | 21% | 35% | 28% | 10% | 1% |
34 | SHIN Noah | 17% | 36% | 31% | 13% | 3% | - | - |
35 | ABRAMKIN Tim | 10% | 33% | 35% | 17% | 4% | - | - |
36 | WEI JR Shan | 2% | 14% | 33% | 33% | 15% | 3% | - |
36 | ZHANG Hanru | 3% | 18% | 37% | 31% | 10% | 1% | - |
38 | HELMY Richard | 3% | 21% | 36% | 28% | 10% | 2% | - |
39 | BELCHAMBER Mason | 6% | 25% | 37% | 25% | 7% | 1% | |
40 | ZHANG Gavin | 17% | 39% | 32% | 11% | 2% | - | |
41 | CZARNECKI Thomas | 3% | 21% | 41% | 28% | 6% | - | |
42 | LU Jingyi | - | 2% | 12% | 33% | 38% | 15% | |
43 | YU ShiYu (Henry) | 13% | 37% | 35% | 13% | 2% | - | |
44 | SUN Henry | - | 4% | 18% | 33% | 31% | 13% | 1% |
45 | HUANG Jinyao | - | 6% | 22% | 36% | 27% | 9% | 1% |
45 | LI Evan | 9% | 32% | 36% | 18% | 4% | - | - |
47 | GRIGORIEV Michael | 1% | 6% | 21% | 33% | 27% | 10% | 1% |
48 | SENANI Arjun | 1% | 7% | 23% | 35% | 25% | 8% | 1% |
48 | ZHANG Ethan | 41% | 41% | 15% | 2% | - | - | - |
50 | NABASSOUA Djibril | 13% | 34% | 33% | 16% | 4% | - | - |
50 | GAO Andrew | 5% | 20% | 35% | 28% | 11% | 2% | - |
52 | JIN Andy | 2% | 11% | 28% | 34% | 20% | 5% | - |
52 | QIAN Zekai | 8% | 27% | 35% | 22% | 7% | 1% | - |
54 | KINGSLEY Griffin | 4% | 21% | 38% | 28% | 8% | 1% | - |
55 | REN Ryan | 1% | 10% | 29% | 37% | 20% | 3% | |
56 | BAI Austin | 15% | 38% | 34% | 12% | 2% | - | |
57 | KIAYIAS Alexander | 19% | 44% | 29% | 7% | 1% | - | |
58 | HU Daniel | 40% | 42% | 16% | 3% | - | - | - |
59 | TANG Royce | 1% | 7% | 23% | 34% | 25% | 9% | 1% |
60 | KIM Ethan | 50% | 38% | 11% | 2% | - | - | - |
61 | KAYE Ben | 18% | 39% | 31% | 11% | 2% | - | |
62 | TSENG Lucas | 35% | 45% | 18% | 3% | - | - | |
63 | CHEN kenneth | 10% | 31% | 35% | 18% | 5% | - | - |
64 | WANG Luke | 5% | 25% | 39% | 25% | 6% | - | - |
65 | ZHENG Austin | 26% | 41% | 24% | 7% | 1% | - | - |
66 | WU Rayson siyu | 5% | 25% | 38% | 24% | 7% | 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.