Ohio Expo Center - Kasich Hall - Columbus, OH, 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 | FULLERTON Houston T. | - | - | - | 1% | 8% | 35% | 56% |
2 | SHAH S Ayush | - | - | - | 2% | 14% | 41% | 43% |
3 | GORNOVSKY David J. | - | - | - | 1% | 8% | 35% | 56% |
3 | DAVIES Morgan | - | - | 1% | 11% | 37% | 51% | |
5 | LI Jesse | - | - | 5% | 21% | 43% | 31% | |
5 | CUMMINGS Atticus C. | - | - | 1% | 10% | 37% | 52% | |
7 | KOKENGE Reid | - | 3% | 16% | 36% | 34% | 10% | |
8 | NOWAK Jakub P. | - | 1% | 7% | 24% | 41% | 27% | |
9 | KOZAKIEWICZ Filip | - | 2% | 10% | 26% | 36% | 22% | 3% |
10 | MICKO Fritz K. | 1% | 8% | 28% | 39% | 21% | 3% | |
11 | CHAI Jonathan | 2% | 14% | 33% | 33% | 15% | 2% | |
12 | ELYADERANI Paxon | 2% | 15% | 37% | 34% | 12% | 1% | |
13 | ARLINGTON Nicholas J. | - | - | - | 3% | 18% | 42% | 36% |
14 | NESTEROV Andrew E. | 1% | 10% | 28% | 35% | 21% | 6% | - |
15 | KENT Dwain | 1% | 6% | 22% | 34% | 27% | 10% | 1% |
16 | MADSEN Jr Eric W. | - | 1% | 10% | 31% | 37% | 18% | 3% |
17 | CHAWLA Armaan | 1% | 8% | 29% | 39% | 20% | 3% | |
18 | STENCEL Andrew E. | - | 5% | 19% | 35% | 29% | 11% | 1% |
19 | REED Dusty (Allen) | 3% | 18% | 35% | 29% | 12% | 2% | - |
20 | WU Byron | - | 5% | 19% | 35% | 30% | 11% | 1% |
20 | MICKELSON Jacob P. | - | 5% | 20% | 34% | 28% | 10% | 1% |
22 | RHYU Kozmo | - | - | 3% | 17% | 42% | 37% | |
23 | MIRANDA Matteo | 3% | 17% | 36% | 31% | 11% | 1% | |
24 | LOESER Jacob | 5% | 21% | 35% | 27% | 11% | 2% | - |
25 | SONN Rohan | 4% | 19% | 36% | 30% | 11% | 1% | |
26 | OLIVERIUS Joseph W. | - | 2% | 14% | 35% | 36% | 12% | |
27 | MILLER Lance W. | 8% | 28% | 37% | 21% | 5% | - | |
28 | ECKEL Anson J. | 1% | 9% | 29% | 38% | 19% | 3% | |
28 | GOHSMAN Maxwell | 40% | 42% | 16% | 3% | - | - | |
30 | PAN Colin | 10% | 33% | 36% | 17% | 4% | - | |
31 | VELINOV Gabriel | 1% | 6% | 23% | 36% | 26% | 8% | 1% |
32 | WOJCIECHOWSKI Matthew N. | - | < 1% | 1% | 11% | 39% | 48% | |
33 | LEE JoonWon | 14% | 35% | 33% | 14% | 3% | - | |
34 | JENSEN Daniel G. | - | 1% | 7% | 22% | 36% | 27% | 7% |
35 | KNECHT PRANGE Patrick | 10% | 33% | 36% | 17% | 3% | - | |
36 | MAYER Vinzenz | - | 5% | 22% | 39% | 28% | 6% | |
37 | HERMANSON David B. | 2% | 13% | 33% | 35% | 15% | 2% | |
38 | BOLARIN Oluwatosin N. | 1% | 9% | 29% | 38% | 20% | 3% | |
39 | LI Chenyu | 7% | 28% | 37% | 22% | 5% | - | |
40 | CHEN Zhong Han | 21% | 45% | 27% | 7% | 1% | - | - |
41 | CIOLINO Jacob F. | 1% | 7% | 25% | 38% | 25% | 4% | |
42 | BARTCH Ethan L. | 27% | 42% | 24% | 6% | 1% | - | |
43 | NIKOLOV Peter | 16% | 40% | 32% | 11% | 2% | - | |
44 | ELLINGTON Keegan A. | - | - | 5% | 21% | 37% | 29% | 7% |
45 | CUMMINGS Kai | 1% | 7% | 24% | 36% | 25% | 7% | 1% |
46 | HONG James | 1% | 8% | 25% | 35% | 24% | 7% | 1% |
47 | MA Bochen | 3% | 18% | 35% | 30% | 12% | 2% | - |
48 | HOORNSTRA David S. | 3% | 16% | 32% | 31% | 15% | 3% | - |
49 | WANG Albert | 4% | 24% | 37% | 25% | 8% | 1% | - |
50 | HUNKER Frederick | 17% | 37% | 31% | 12% | 2% | - | - |
51 | ZRELAK Teig | 2% | 12% | 30% | 34% | 18% | 4% | - |
52 | WEI Zheng (Jonny) | 28% | 43% | 23% | 5% | 1% | - | |
52 | EVANS Grant | 6% | 25% | 37% | 25% | 7% | 1% | |
54 | KRZYSIAK David F. | 15% | 37% | 33% | 13% | 2% | - | |
55 | ZENG Zihan | 1% | 8% | 26% | 38% | 23% | 4% | |
56 | EVANS Allen L. | 11% | 38% | 35% | 14% | 2% | - | |
57 | O'BRIEN Timothy S. | 13% | 35% | 34% | 15% | 3% | - | |
58 | DICKSON Tim | 19% | 39% | 30% | 10% | 1% | - | |
59 | PAN Tristan | 41% | 40% | 15% | 3% | - | - | - |
60 | KRAJ Pawel | 2% | 14% | 30% | 33% | 17% | 4% | - |
61 | RODACHY Jeffrey M. | 1% | 6% | 23% | 37% | 26% | 6% | |
62 | PAINE Evan J. | 8% | 30% | 37% | 20% | 4% | - | |
63 | THRASHER Andrew W. | 48% | 38% | 12% | 2% | - | - | - |
64 | FILONENKO Mark N. | 17% | 39% | 33% | 10% | 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.