Salt Lake City, UT - Salt Lake City, UT, 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 | COTTER Liam | - | - | 4% | 24% | 48% | 24% | |
2 | HENNICKE Michael G. | 1% | 7% | 27% | 38% | 22% | 5% | |
3 | KIM Benjamin H. | - | 2% | 15% | 35% | 35% | 13% | |
3 | MORRIS Samuel A. | - | 1% | 8% | 36% | 42% | 13% | |
5 | LEVIN Mark A. | - | - | 1% | 10% | 32% | 41% | 16% |
6 | TANG Alex Y. | - | 1% | 6% | 19% | 34% | 30% | 10% |
7 | SUORSA Markus | - | 2% | 12% | 27% | 34% | 20% | 5% |
8 | CHANG Colin S. | - | 3% | 18% | 45% | 29% | 5% | |
9 | HUANG Eric | - | 1% | 12% | 35% | 38% | 14% | |
10 | POPE Nico | - | 3% | 14% | 29% | 32% | 18% | 4% |
11 | NEUHEARDT Peter | 1% | 6% | 19% | 32% | 28% | 12% | 2% |
12 | WILDMAN John | - | 4% | 18% | 36% | 32% | 10% | |
13 | BARBER William S. | - | 2% | 10% | 26% | 34% | 22% | 5% |
14 | ZU Kevin | - | - | 1% | 15% | 45% | 39% | |
15 | HASNAH Henry | - | 6% | 23% | 37% | 27% | 7% | |
16 | BRAR Sanjeet | 1% | 6% | 21% | 33% | 26% | 10% | 2% |
17 | BARBER Brendan | 3% | 17% | 31% | 29% | 15% | 4% | - |
18 | LIU kelly | - | 2% | 12% | 28% | 33% | 20% | 5% |
19 | OWENS William | - | - | 5% | 24% | 44% | 27% | |
20 | CZYZEWSKI Konrad R. | - | 2% | 11% | 31% | 38% | 18% | |
21 | ASHBY Ethan J. | 4% | 21% | 36% | 28% | 10% | 1% | |
22 | RABINKOV Anthony | - | 3% | 15% | 30% | 32% | 17% | 3% |
23 | WESLER Logan A. | 1% | 8% | 23% | 33% | 25% | 9% | 1% |
24 | BERGER Oliver | - | 4% | 17% | 35% | 33% | 11% | |
25 | CHEONG Heonjae | 1% | 9% | 28% | 37% | 21% | 4% | |
26 | HONG Vincent Q. | - | 5% | 29% | 40% | 21% | 4% | |
27 | WUN William | - | 2% | 9% | 25% | 35% | 23% | 5% |
28 | LE Hayden | 1% | 8% | 24% | 34% | 25% | 8% | 1% |
29 | MICHNA Colin P. | 2% | 11% | 28% | 33% | 20% | 6% | 1% |
30 | QUAN Nicholas | - | - | 1% | 6% | 24% | 43% | 26% |
31 | EPSTEIN Henry N. | 7% | 26% | 35% | 23% | 8% | 1% | - |
32 | GREENBAUM Ian L. | 4% | 20% | 35% | 28% | 11% | 2% | - |
33 | GORDON-SAND Spencer | - | 1% | 5% | 18% | 35% | 32% | 10% |
34 | DESAI Drewv D. | - | 3% | 18% | 37% | 32% | 10% | |
35 | VILLARREAL Mateo | 49% | 40% | 10% | 1% | - | - | |
36 | RAJA Arnav | - | 1% | 8% | 36% | 42% | 13% | |
37 | KOTOV Leonid | 2% | 15% | 32% | 31% | 15% | 4% | - |
38 | BRUSIE Christopher R. | - | - | 4% | 19% | 39% | 30% | 7% |
39 | ERACHSHAW Cyrus P. | - | 1% | 8% | 24% | 34% | 25% | 7% |
40 | LEITH Jack | 28% | 43% | 24% | 6% | 1% | - | - |
41 | KILBOURNE Lance | 4% | 21% | 37% | 28% | 9% | 1% | - |
42 | YEN Preston | - | 3% | 13% | 29% | 33% | 19% | 4% |
43 | FONZO Ian | - | 1% | 5% | 17% | 33% | 32% | 12% |
44 | SCHERER Max | 15% | 43% | 34% | 8% | 1% | - | |
45 | PLONKA Derek | 12% | 43% | 37% | 8% | 1% | - | |
46 | ESPARZA Hilario | 36% | 45% | 17% | 2% | - | - | |
47 | MAURI Gherardo | 1% | 5% | 20% | 34% | 28% | 11% | 2% |
48 | XU Luke | 2% | 16% | 35% | 33% | 12% | 2% | - |
49 | ZIPPER Michael E. | - | 2% | 9% | 24% | 34% | 24% | 7% |
50 | HUANG Zekai | 2% | 12% | 29% | 33% | 18% | 5% | 1% |
51 | COVINGTON Max G. | - | 2% | 13% | 35% | 37% | 14% | |
52 | REED Samuel J. | 17% | 42% | 32% | 8% | 1% | - | |
53 | OWENS Harrison J. | 4% | 22% | 37% | 27% | 9% | 1% | |
54 | MALDARI Frank | 41% | 42% | 14% | 2% | - | - | |
55 | PEARSON James G. | 11% | 31% | 34% | 18% | 5% | 1% | - |
56 | REBELLO Derek | 6% | 25% | 35% | 24% | 8% | 2% | - |
57 | LEUNG Nathan | 11% | 36% | 36% | 15% | 3% | - | - |
58 | SUSANTO Samuel (sammy) | 16% | 44% | 34% | 5% | - | - | |
59 | MADRID Derek | 29% | 40% | 23% | 7% | 1% | - | - |
60 | MEHTA Nalin J. | 36% | 42% | 18% | 4% | - | - | |
61 | ELIN Adam E. | 20% | 38% | 28% | 11% | 2% | - | - |
62 | CAAMANO Leo P. | 19% | 42% | 30% | 8% | 1% | - | |
62 | ROBERTS Sam | 13% | 43% | 36% | 8% | 1% | - | |
64 | LU Evan | 15% | 42% | 32% | 10% | 1% | - | |
65 | TIERNO Thomas J. | 45% | 39% | 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.