Pasadena Convention Center - Visitors Center - Pasadena, CA, USA
Explore the probability of achieving at least a certain number of victories in the pool 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 | MOSES Alexander | 100% | 100% | 100% | 100% | 99% | 91% | 54% |
2 | DIECK Logan O. | 100% | 100% | 99% | 89% | 58% | 17% | |
3 | LIN Kyran | 100% | 100% | 100% | 99% | 91% | 57% | |
3 | JAIN Sarthak | 100% | 100% | 97% | 82% | 47% | 13% | |
5 | LEVITSKY Jonathan | 100% | 100% | 98% | 88% | 58% | 18% | |
6 | PHILLIPS Jeffrey T. | 100% | 100% | 100% | 98% | 87% | 47% | |
7 | GAO Chaney C. | 100% | 97% | 77% | 39% | 10% | 1% | |
8 | PARK Elliot | 100% | 100% | 99% | 90% | 63% | 23% | |
9 | ZHOU Stanley Q. | 100% | 100% | 100% | 97% | 80% | 41% | 7% |
10 | ZHENG Haoran | 100% | 100% | 99% | 91% | 62% | 20% | |
11 | BRUSKOTTER Reiland | 100% | 96% | 78% | 44% | 14% | 2% | |
12 | ZHANG Alec | 100% | 100% | 98% | 85% | 53% | 16% | |
13 | MING Nathan | 100% | 98% | 84% | 50% | 16% | 2% | |
14 | WANG owen | 100% | 99% | 89% | 59% | 22% | 2% | |
15 | MULCAHY Olaf | 100% | 100% | 97% | 81% | 45% | 11% | |
16 | SATTERFIELD Donald | 100% | 100% | 100% | 95% | 76% | 34% | 5% |
17 | LOWE-THORPE Tyler | 100% | 98% | 82% | 49% | 16% | 2% | |
18 | CHU Allan | 100% | 100% | 96% | 77% | 41% | 9% | |
19 | JIN Daniel | 100% | 100% | 95% | 77% | 43% | 11% | |
20 | KIM Darius H. | 100% | 100% | 99% | 91% | 63% | 22% | |
21 | YUEN Nathan | 100% | 83% | 35% | 7% | 1% | - | |
22 | GUAN Nathan | 100% | 93% | 65% | 27% | 5% | - | |
23 | DEKERMANJI Christopher | 100% | 99% | 89% | 61% | 26% | 5% | |
24 | JONES Caleb | 100% | 100% | 99% | 90% | 59% | 18% | |
25 | ULINICH Alexander | 100% | 98% | 85% | 52% | 16% | 2% | |
26 | TAN elan | 100% | 100% | 95% | 76% | 38% | 8% | |
27 | PHUKAN Rohin | 100% | 100% | 94% | 68% | 29% | 5% | |
28 | PARK Augustine | 100% | 94% | 67% | 28% | 6% | - | - |
29 | WATT Darren | 100% | 98% | 83% | 48% | 15% | 2% | |
30 | AYABINA John | 100% | 92% | 62% | 24% | 4% | - | |
31 | CROSSMAN Brandon | 100% | 93% | 64% | 27% | 6% | - | |
32 | LIU Andrew | 100% | 99% | 94% | 74% | 39% | 9% | |
33 | AHMED saheer | 100% | 98% | 86% | 55% | 20% | 3% | |
34 | TIEN Jabin | 100% | 97% | 81% | 48% | 16% | 2% | |
35 | CHIRASHNYA Adam | 100% | 100% | 98% | 84% | 49% | 11% | |
36 | ALVAREZ Ian T. | 100% | 100% | 97% | 84% | 52% | 15% | |
36 | SHA Michael | 100% | 86% | 48% | 15% | 2% | - | |
38 | GOLDBERG Artie M. | 100% | 72% | 29% | 6% | 1% | - | - |
39 | EVANS noah | 100% | 95% | 73% | 37% | 10% | 1% | |
40 | DALVA Michael | 100% | 96% | 76% | 40% | 11% | 1% | |
41 | YOUNG Jr Colby | 100% | 97% | 76% | 39% | 10% | 1% | |
42 | DOWDELL Riley | 100% | 92% | 63% | 28% | 7% | 1% | |
43 | LOFTUS Luca | 100% | 100% | 95% | 74% | 37% | 8% | |
44 | WARD Edward | 100% | 98% | 85% | 51% | 17% | 2% | |
45 | MENDOZA Zachari | 100% | 100% | 97% | 83% | 49% | 14% | |
46 | WILLIS Alan | 100% | 90% | 57% | 21% | 4% | - | |
47 | SCOFIELD Thien J. | 100% | 100% | 94% | 67% | 27% | 5% | |
47 | LEE Chun Po | 100% | 85% | 50% | 18% | 3% | - | |
49 | JU Hanul | 100% | 71% | 29% | 6% | 1% | - | |
50 | LIU Yikun | 100% | 48% | 9% | 1% | - | - | |
50 | ZHANG Andrew | 100% | 66% | 23% | 4% | - | - | |
52 | KUO Rylan | 100% | 74% | 33% | 8% | 1% | - | |
53 | LAU Christian | 100% | 60% | 19% | 3% | - | - | |
54 | MIAO KUNQI | 100% | 67% | 24% | 4% | - | - | |
55 | HALL Gabriel | 100% | 68% | 27% | 6% | 1% | - | |
56 | QUITORIANO Matthew | 100% | 97% | 77% | 39% | 10% | 1% | |
57 | ZHANG Nathan | 100% | 97% | 80% | 44% | 13% | 2% | - |
58 | MILSTEIN Nikolas | 100% | 94% | 62% | 22% | 3% | - | - |
59 | BRINEN-STOUT Jared P. | 100% | 88% | 52% | 17% | 3% | - | |
59 | QUITORIANO Jonathan | 100% | 76% | 34% | 8% | 1% | - | |
61 | LEE Jaden T. | 100% | 97% | 79% | 42% | 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.