HERNDON, VA - HERNDON, VA, 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 | ||
1 | LIN Michael | 100% | 100% | 99% | 89% | 61% | 20% |
2 | ROSE Ben | 100% | 99% | 92% | 68% | 30% | 5% |
3 | WECHSLER Jacob | 100% | 100% | 100% | 99% | 88% | 46% |
3 | QIAN Jason H. | 100% | 100% | 97% | 83% | 50% | 14% |
5 | TANG Alexander L. | 100% | 100% | 96% | 70% | 21% | |
6 | LI Matthew | 100% | 100% | 99% | 95% | 75% | 34% |
7 | YAO Bradley | 100% | 100% | 99% | 88% | 45% | |
8 | MAO Lucas | 100% | 100% | 94% | 69% | 29% | 5% |
9 | ORLOV Dmitriy | 100% | 100% | 99% | 90% | 60% | 19% |
10 | WANG Winston | 100% | 98% | 87% | 58% | 22% | 3% |
11 | SONG Austin | 100% | 100% | 98% | 79% | 37% | 7% |
12 | HUANG Eythan | 100% | 99% | 92% | 59% | 20% | 2% |
13 | PAN Henry | 100% | 95% | 73% | 37% | 10% | 1% |
14 | TANG Albert | 100% | 98% | 86% | 55% | 19% | 3% |
15 | SRINIVASAN Vedant | 100% | 94% | 70% | 32% | 8% | 1% |
16 | SHENG Dalton | 100% | 87% | 51% | 18% | 3% | - |
17 | ZHAO Adam | 100% | 98% | 77% | 37% | 9% | 1% |
18 | GRIFFITH MCALLISTER Thomas | 100% | 97% | 76% | 29% | 4% | |
19 | VADEN Oliver | 100% | 95% | 70% | 33% | 8% | 1% |
20 | KOKE Matthew C. | 100% | 79% | 33% | 6% | - | - |
21 | YAP Nathan | 100% | 60% | 16% | 2% | - | |
22 | PALMA Nathan Anthony | 100% | 100% | 99% | 91% | 61% | 20% |
23 | TIKHAEV Alexander | 100% | 85% | 49% | 16% | 3% | - |
24 | PARRISH Evan | 100% | 97% | 72% | 31% | 7% | 1% |
25 | RILEY Colin T. | 100% | 31% | 4% | - | - | - |
26 | PAN Edwin | 100% | 99% | 89% | 59% | 21% | 1% |
27 | LIU Robert | 100% | 74% | 22% | 2% | - | |
28 | JIANG Bowang | 100% | 75% | 33% | 8% | 1% | - |
29 | YU William | 100% | 64% | 19% | 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.