Kansas City, MO - Kansas City, MO, 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 | BRISLAWN Reilly R. | - | - | 1% | 8% | 24% | 40% | 27% |
2 | GIBSON Dylan A. | 3% | 15% | 32% | 32% | 15% | 3% | |
3 | TUCKER Owen J. | 1% | 9% | 30% | 39% | 19% | 3% | |
3 | ZUBECK Dominic | - | - | 3% | 13% | 31% | 36% | 16% |
5 | YUMIACO Nolan C. | - | - | 4% | 16% | 33% | 34% | 13% |
6 | LEHR William D. | - | 1% | 8% | 26% | 40% | 24% | |
7 | LEE Daniel Y. | - | - | - | 2% | 13% | 40% | 45% |
8 | XIANG HONGYI | 5% | 24% | 39% | 25% | 7% | 1% | - |
9 | IVAKIMOV Vasil | - | 1% | 7% | 24% | 41% | 28% | |
10 | DIAS-LALCACA Kieran P. | - | 1% | 7% | 25% | 38% | 25% | 4% |
11 | PARK Jong-Eun | - | 1% | 7% | 26% | 38% | 23% | 5% |
12 | BUYANOV Nikita V. | - | 2% | 13% | 34% | 38% | 13% | |
13 | WANG William M. | - | - | 3% | 16% | 42% | 38% | |
14 | CHUNG Thomas | - | 4% | 19% | 37% | 29% | 10% | 1% |
15 | WEISE Eli S. | 2% | 11% | 28% | 35% | 20% | 4% | |
16 | WONG Joshua | 6% | 31% | 46% | 16% | 2% | - | |
17 | COLLYMORE Spencer T. | - | - | 3% | 18% | 43% | 35% | |
17 | DE JONG Thijmen J. | - | - | 4% | 26% | 46% | 24% | |
19 | LATIF IMRAN ZAKARIYYA | - | - | 1% | 6% | 23% | 43% | 28% |
20 | PARK Ian C. | - | 2% | 12% | 30% | 37% | 18% | |
21 | HOLDERNESS Landon | - | 2% | 14% | 36% | 37% | 11% | |
22 | KENT Matthew | 17% | 37% | 31% | 12% | 2% | - | |
23 | STONE Henry J. | - | - | 2% | 14% | 35% | 36% | 12% |
24 | DYER Ian E. | 1% | 8% | 24% | 35% | 24% | 7% | 1% |
25 | SMITH Jackson | 1% | 5% | 18% | 32% | 29% | 13% | 2% |
26 | LI Sui Lun (Phillip) | 1% | 9% | 26% | 36% | 23% | 5% | |
27 | FAN Beichen | 4% | 18% | 34% | 30% | 12% | 2% | |
28 | RAJPAL Sartaj S. | - | 1% | 8% | 36% | 41% | 14% | |
29 | LAWLER Aidan | 2% | 11% | 27% | 33% | 20% | 6% | 1% |
30 | CRANE Matthew T. | 3% | 18% | 35% | 30% | 12% | 2% | |
31 | SHIV Rishi | 9% | 29% | 35% | 21% | 6% | 1% | |
32 | OSBORN Matthew W. | 18% | 39% | 30% | 11% | 2% | - | |
33 | ROMERO Caleb E. | 2% | 15% | 34% | 34% | 13% | 2% | |
34 | HONG James | - | 8% | 26% | 35% | 23% | 7% | 1% |
35 | DIB Aaniss | - | 2% | 10% | 30% | 37% | 19% | 3% |
36 | LAI Coby | 1% | 11% | 29% | 34% | 19% | 5% | 1% |
37 | LI Brian X | - | - | 4% | 26% | 46% | 23% | |
38 | STEELE Frank A. | 4% | 19% | 33% | 28% | 12% | 3% | - |
39 | RASMUSSEN Jack | 2% | 15% | 33% | 32% | 15% | 3% | - |
40 | VELO Juan Manuel H. | 2% | 16% | 37% | 33% | 11% | 1% | |
40 | ALTUVE Alejandro J. | 4% | 21% | 36% | 28% | 10% | 1% | |
42 | BAKER Jefferson G. | 4% | 19% | 35% | 29% | 11% | 2% | |
42 | CHANG Luo Jixiu | 22% | 44% | 26% | 6% | 1% | - | |
42 | KOPPE Alexander | 1% | 8% | 25% | 36% | 24% | 5% | |
45 | PITZEL John E. | 14% | 35% | 33% | 15% | 3% | - | |
45 | GOLDMAN Rami | 3% | 18% | 34% | 30% | 12% | 2% | |
47 | KOH Tommy | 4% | 22% | 37% | 27% | 8% | 1% | |
48 | DOUGLAS Colin F. | 3% | 15% | 33% | 33% | 14% | 2% | |
49 | JACKSON James | 6% | 21% | 33% | 26% | 11% | 2% | - |
50 | TAYLOR William | 17% | 38% | 31% | 12% | 2% | - | - |
51 | DENNIS Ethan | 8% | 25% | 34% | 23% | 8% | 2% | - |
52 | WEIST Spencer | 40% | 42% | 16% | 2% | - | - | - |
53 | GREGORY Dean | - | 4% | 16% | 31% | 31% | 15% | 3% |
54 | COONROD Anthony (Tony) J. | 8% | 29% | 38% | 20% | 4% | - | - |
55 | RHEA Eric L. | 25% | 49% | 24% | 3% | - | - | |
56 | CHRISTIAN John R. | 9% | 30% | 36% | 20% | 5% | - | |
57 | WILLIAMS Richard | 38% | 46% | 14% | 1% | - | - | |
58 | BRUS Brian V. | - | 5% | 20% | 33% | 28% | 11% | 2% |
59 | KOPPE Benjamin | 8% | 29% | 37% | 20% | 5% | 1% | - |
60 | FITZGERALD Thomas R. | 49% | 37% | 11% | 2% | - | - | - |
61 | YAO Shun | 7% | 26% | 36% | 24% | 7% | 1% | |
61 | GAURIAT Olivier | 16% | 39% | 33% | 11% | 1% | - | |
63 | KIRSCH Adam J. | 26% | 44% | 24% | 5% | 1% | - | |
64 | MILLER Lance W. | 9% | 37% | 37% | 15% | 3% | - | - |
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.