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 | 6 | ||
1 | GUERRA Gabriel H. | - | - | 1% | 7% | 27% | 43% | 23% |
2 | KIM Andrew J. | - | - | - | 4% | 20% | 42% | 33% |
3 | LEE Christopher T. | - | - | 1% | 8% | 31% | 46% | 15% |
3 | YU Jason | - | - | 4% | 21% | 40% | 28% | 7% |
5 | GUTIERREZ Nikolai A. | - | - | - | 2% | 16% | 43% | 38% |
6 | MIN Eric | - | - | - | 4% | 32% | 47% | 16% |
7 | LIPPMAN Sam | - | 1% | 8% | 24% | 37% | 25% | 5% |
8 | STACKHOUSE Andre L. | - | - | 5% | 23% | 40% | 26% | 5% |
9 | WEI Qiancheng (Matt) | - | - | 1% | 11% | 33% | 39% | 15% |
10 | WU Alistair | 1% | 8% | 27% | 36% | 22% | 6% | 1% |
11 | KOEHN Ted | - | - | 2% | 12% | 31% | 37% | 17% |
12 | TALASILA Arush | 3% | 21% | 45% | 25% | 6% | 1% | - |
13 | SHAGIDANYAN German | - | 1% | 11% | 34% | 36% | 15% | 2% |
14 | CHRISTIAN Jonathan | 2% | 19% | 37% | 29% | 11% | 2% | - |
15 | LEE Jayden | 6% | 27% | 37% | 23% | 7% | 1% | - |
16 | FECAROTTA Ryan | 33% | 42% | 20% | 5% | - | - | - |
17 | YAN Noelle | - | 10% | 32% | 36% | 18% | 4% | - |
18 | BEAVER Hannah | - | 7% | 27% | 37% | 23% | 6% | - |
19 | LIU Zixian (Aaron) | 1% | 8% | 25% | 36% | 24% | 7% | 1% |
20 | HAN Ashley | 1% | 21% | 40% | 28% | 8% | 1% | - |
21 | CUI Amy | 2% | 17% | 42% | 31% | 8% | 1% | - |
22 | HAN Crystal | - | 2% | 13% | 32% | 35% | 16% | 2% |
23 | TROXEL Sylvie A. | - | 5% | 19% | 35% | 29% | 11% | 2% |
24 | WU Jingxiao | 34% | 47% | 17% | 2% | - | - | - |
25 | VALENTINE Eoin | 69% | 27% | 4% | - | - | - | - |
26 | BERKE Daniel (Dan) L. | 2% | 20% | 43% | 30% | 5% | - | - |
27 | HARROCH Faustin | 30% | 49% | 19% | 2% | - | - | - |
28 | SCHULTZ Nomi | 80% | 19% | 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.