Suffern, NY - Suffern, NY, 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 | RAMPAZZO Luca | 100% | 100% | 100% | 100% | 99% | 88% | |
2 | SEVOSTYANOV Stepan (Seva) | 100% | 100% | 97% | 83% | 51% | 15% | |
3 | BARTOLO Domenic V. | 100% | 100% | 98% | 85% | 56% | 23% | 4% |
3 | LIU kelly | 100% | 98% | 88% | 63% | 30% | 9% | 1% |
5 | ZU Kevin | 100% | 100% | 100% | 97% | 86% | 58% | 20% |
6 | LEVIN Mark A. | 100% | 99% | 91% | 66% | 30% | 6% | |
7 | ARIAS Cesar A | 100% | 100% | 97% | 86% | 57% | 23% | 3% |
8 | MAKLIN Edward P. | 100% | 95% | 73% | 37% | 11% | 1% | |
9 | WU MENGKE | 100% | 100% | 95% | 73% | 37% | 11% | 1% |
10 | HARRIS Alex K. | 100% | 100% | 100% | 95% | 76% | 41% | 10% |
11 | YEN Preston | 100% | 99% | 88% | 60% | 25% | 4% | |
12 | YAO Jonathan | 100% | 100% | 100% | 94% | 74% | 38% | 9% |
13 | GINIS Nathan | 100% | 99% | 88% | 57% | 18% | 1% | |
14 | CHAN Daniel | 100% | 96% | 77% | 44% | 15% | 3% | - |
15 | GILLIGAN Wolff | 100% | 95% | 74% | 36% | 8% | - | |
16 | WU Nicholas R. | 100% | 96% | 79% | 47% | 18% | 4% | - |
17 | VARUKATTY-GAFOOR Akhil | 100% | 98% | 83% | 48% | 13% | - | |
18 | WOLIN Zachary | 100% | 96% | 76% | 42% | 13% | 2% | |
19 | BLACKBURN Henry | 100% | 56% | 6% | - | - | - | - |
20 | MOSKOWITZ Mason C. | 100% | 99% | 91% | 67% | 34% | 10% | 1% |
20 | CHAN Matthew | 100% | 100% | 99% | 91% | 63% | 26% | 5% |
22 | PARKHURST Jr Michael | 100% | 92% | 66% | 33% | 10% | 2% | - |
23 | ZHOU Miles | 100% | 86% | 49% | 15% | 2% | - | |
24 | HONG Vincent Q. | 100% | 83% | 45% | 13% | 2% | - | |
25 | MILGRAM Nathan A. | 100% | 82% | 44% | 14% | 2% | - | |
26 | WALLACE William Ronan | 100% | 81% | 41% | 11% | 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.