Orlando, FL - Orlando, FL, 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 | KORFONTA Jolie | - | - | 1% | 11% | 40% | 48% |
2 | WITTER Catherine A. | 1% | 8% | 26% | 37% | 23% | 5% |
3 | WATTANAKIT Anda | - | 1% | 11% | 35% | 41% | 11% |
3 | BROWN Hannah | - | 3% | 16% | 36% | 34% | 11% |
5 | BECKMAN Ana | - | 2% | 11% | 30% | 38% | 18% |
6 | MUN Brianna K. | - | 4% | 18% | 36% | 32% | 10% |
7 | LEE Camilla | 3% | 22% | 40% | 27% | 6% | - |
8 | BURCHETT Victoria | - | 2% | 12% | 32% | 38% | 16% |
9 | CREMONA Viola Maria | - | 1% | 5% | 21% | 42% | 32% |
10 | PULLEN Ayah | - | 6% | 25% | 40% | 24% | 4% |
11 | CARRIER Meredith | 4% | 25% | 39% | 24% | 7% | 1% |
12 | LEE yat ching | - | 1% | 7% | 27% | 42% | 22% |
13 | NIX Reagan | 1% | 10% | 32% | 37% | 18% | 3% |
14 | LEE Olivia | 4% | 20% | 35% | 29% | 11% | 1% |
15 | PATIL Amulya | - | 5% | 22% | 37% | 27% | 7% |
16 | CHANG Ella | 15% | 37% | 32% | 13% | 2% | - |
17 | WALLER DEL VALLE Andrea | 2% | 14% | 32% | 33% | 16% | 3% |
18 | HERR Jessica | 7% | 26% | 36% | 23% | 7% | 1% |
19 | HAYNES Antonia | 14% | 36% | 34% | 14% | 3% | - |
20 | FERREIRA DE MELO Adriana | 1% | 9% | 28% | 37% | 21% | 4% |
21 | MIRZA Annoshae | 1% | 14% | 34% | 34% | 15% | 2% |
22 | FERNLUND Helen | 20% | 39% | 29% | 10% | 2% | - |
23 | GUAN Isabella | 6% | 30% | 40% | 20% | 4% | - |
24 | NEELAM Neha | - | 4% | 18% | 35% | 32% | 11% |
25 | WONG Caitlin | 4% | 20% | 36% | 28% | 10% | 1% |
26 | WALLER DEL VALLE Alexandra | 28% | 43% | 23% | 5% | 1% | - |
27 | KUMAR Anusha | 1% | 13% | 34% | 35% | 14% | 2% |
28 | FIGUEROA Mariah | 23% | 45% | 26% | 6% | 1% | - |
29 | DAVIS Elisabeth | 57% | 34% | 8% | 1% | - | - |
30 | MCHENRY Royal | 49% | 39% | 11% | 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.