Salle Auriol Seattle - Seattle, WA, 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 | ||
1 | BULL Anderson | - | - | 1% | 8% | 37% | 54% |
2 | RASMUSSEN Alexzander C. | - | - | 5% | 29% | 56% | 10% |
3 | PIISPANEN Eric A. | - | - | - | 3% | 26% | 71% |
3 | ZHOU Jacquelyn K. | - | 1% | 10% | 29% | 39% | 20% |
5 | HUANG Zekai | - | 3% | 14% | 34% | 36% | 13% |
6 | MILLER Ethan | 3% | 15% | 32% | 33% | 15% | 3% |
7 | RIGGINS Littleton K. | - | - | 7% | 30% | 47% | 16% |
8 | YERRAMILLI Kavya | 3% | 16% | 33% | 32% | 14% | 2% |
9 | YERRAMILLI Tejas | - | 21% | 41% | 29% | 8% | 1% |
10 | DIRSMITH Benjamin J. | - | 1% | 9% | 35% | 44% | 11% |
11 | GRATHWOL-SEAR Oliver | - | 2% | 11% | 31% | 38% | 17% |
12 | MA Yanjie | 1% | 9% | 34% | 44% | 12% | 1% |
13 | KAUFMAN Wyatt J. | 2% | 15% | 35% | 33% | 13% | 2% |
14 | VENU Ram | 2% | 14% | 32% | 34% | 16% | 3% |
15 | KING Robin E. | 2% | 17% | 38% | 31% | 11% | 1% |
16 | CARLUCCI Laura A. | 9% | 34% | 37% | 17% | 3% | - |
17 | PRABAKARAN Nakula | - | 5% | 27% | 48% | 20% | - |
18 | WU Yiyang | - | 1% | 9% | 29% | 41% | 20% |
19 | SAKPAL Raghavi | 2% | 14% | 37% | 37% | 9% | 1% |
20 | STATEN Joseph | 31% | 45% | 20% | 4% | - | - |
21 | GOLDIN Lucca | - | 10% | 33% | 37% | 17% | 3% |
22 | MARENTES Blanca E. | 7% | 53% | 35% | 5% | - | - |
23 | REITER Michael L. | - | 8% | 36% | 39% | 15% | 2% |
24 | BARCZAY Sara (Sari) E. | 6% | 28% | 42% | 20% | 3% | - |
25 | DUNNELL Mahlon M. | 6% | 25% | 37% | 25% | 7% | 1% |
26 | PHAM Thuy | 70% | 27% | 3% | - | - | - |
27 | HOLMES Sabrina | 41% | 43% | 15% | 2% | - | - |
28 | DEGEN Anita L. | 44% | 41% | 13% | 2% | - | - |
29 | POEHLMANN Scott | 27% | 50% | 20% | 3% | - | - |
30 | HONG Hunter | 7% | 25% | 35% | 24% | 8% | 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.