Evanston, IL - Evanston, IL, 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 | HOFFMAN Ilsa L. | - | - | 1% | 7% | 34% | 58% |
2 | HOOGENDOORN Levi | - | 1% | 12% | 36% | 40% | 12% |
3 | TARTELL Abby | - | - | 3% | 19% | 43% | 34% |
3 | ROH Rachel E. | - | 1% | 8% | 27% | 41% | 23% |
5 | BENOIT Adelaide L. | - | 2% | 16% | 44% | 32% | 6% |
6 | HAN Jeanette X. | - | 3% | 16% | 38% | 35% | 8% |
7 | ZIELINSKI Isabella G. | - | 3% | 17% | 39% | 34% | 6% |
8 | HOOGENDOORN Sterre | - | 2% | 10% | 30% | 41% | 18% |
9 | LU Yi Lin | - | 13% | 35% | 35% | 14% | 2% |
10 | NGUYEN Thea | - | - | 1% | 7% | 35% | 57% |
11 | SONG Robyn | - | 1% | 7% | 26% | 42% | 25% |
12 | BAE EMMELINE | 2% | 15% | 37% | 34% | 11% | 1% |
13 | PETTIT Sara M. | 1% | 11% | 35% | 38% | 14% | 1% |
14 | KIM Allison E. | 1% | 14% | 34% | 34% | 15% | 2% |
15 | ROBINSON Stella | 12% | 37% | 35% | 13% | 2% | - |
16 | KOBERSTEIN Maggie | - | 3% | 17% | 37% | 33% | 10% |
17 | WILSON Dawn J. | 2% | 18% | 38% | 31% | 10% | 1% |
18 | HUA Jacqueline (Jackie) J. | - | 13% | 35% | 36% | 14% | 2% |
19 | RHIE Lena | 3% | 26% | 42% | 24% | 5% | - |
20 | ZHUANG Zhesi (Jessica) | 1% | 14% | 37% | 35% | 12% | 1% |
21 | TODD Peregrine | 28% | 45% | 22% | 5% | - | - |
22 | NEIBART Fiona | 2% | 14% | 37% | 35% | 12% | 1% |
23 | MARQUES Hannah | 6% | 31% | 44% | 17% | 2% | - |
24 | MIN Isabella K. | 2% | 14% | 36% | 35% | 12% | 1% |
25 | LEZHAVA Leah | 34% | 46% | 18% | 2% | - | - |
26 | FREEDMAN Amelia F. | 60% | 33% | 7% | 1% | - | - |
27 | KITTLE Lauren | 23% | 44% | 26% | 7% | 1% | - |
28 | WONG Isabelle S. | 82% | 17% | 1% | - | - | - |
29 | VITTETOE Fay A. | 25% | 41% | 25% | 7% | 1% | - |
30 | SEITZ Jeanine | 13% | 38% | 34% | 13% | 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.