Fencing Academy of Denver - Littleton, CO, 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 | MARQUEZ Jeremy | 1% | 16% | 54% | 29% | |||
2 | BRUSHABER Colin | - | 2% | 12% | 35% | 42% | 9% | |
3 | SALMAN Hamzah | - | - | 2% | 11% | 31% | 38% | 17% |
3 | FERGUSON Constantine | - | - | 1% | 7% | 35% | 57% | |
5 | THOMAS Texas | - | - | 4% | 15% | 33% | 34% | 13% |
6 | DAWSON-TEECE Powell | - | 6% | 25% | 45% | 24% | ||
7 | HOENSHELL Zakary | - | - | 3% | 14% | 32% | 35% | 15% |
8 | YAROSH Stephen | - | 3% | 20% | 46% | 31% | ||
9 | ROMAN Augusto | - | - | - | 3% | 20% | 48% | 29% |
10 | MEHTA Nalin | 6% | 34% | 49% | 10% | |||
12 | CHATTABOINA Haveesh | 13% | 40% | 36% | 11% | 1% | ||
13 | ROJAS Alejandro Joaquin | 1% | 8% | 25% | 35% | 23% | 7% | 1% |
14 | SMITH Noah | 47% | 42% | 11% | 1% | |||
15 | CHEN Zhengyang | 45% | 42% | 12% | 1% | - | - | |
16 | DEMARIA Lauren | 14% | 32% | 32% | 17% | 5% | 1% | - |
17 | TIBBETTS Noah | 13% | 37% | 35% | 13% | 2% | ||
18 | GOOD Harrison | 7% | 36% | 38% | 16% | 3% | - | - |
19 | STRONG Joshua | - | 3% | 15% | 37% | 33% | 11% | 1% |
19 | VINOGOROVA Daria | 16% | 36% | 31% | 13% | 3% | - | - |
21 | KIM Connor | 13% | 42% | 37% | 7% | - | - | |
22 | MILLER Clayton | 5% | 27% | 43% | 22% | 4% | - | - |
23 | HENRICHS Clemmer | 5% | 25% | 38% | 24% | 7% | 1% | - |
26 | SEBA Loric | 1% | 19% | 40% | 30% | 8% | 1% | |
27 | SORENSON Cole | 8% | 36% | 44% | 12% | |||
28 | MAGNUSON Thomas | - | 4% | 19% | 36% | 29% | 9% | 1% |
30 | TRIPLETT Liv | 25% | 48% | 24% | 3% | - | ||
31 | CLAYTON James | < 1% | 10% | 34% | 37% | 15% | 2% | - |
34 | SHANLEY Connor | - | 5% | 36% | 44% | 14% | 1% | |
35 | ALGAHTANI Rafal | 1% | 12% | 35% | 37% | 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.