Dallas Market Hall **MAIN** - Dallas, TX, 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 | MAISONET-GUZMAN Hector E. | - | - | - | 1% | 16% | 83% |
2 | THAYER Jake T. | - | - | - | 4% | 32% | 64% |
3 | NEAL John P. | - | 1% | 10% | 33% | 40% | 16% |
3 | PARKER Isaiah | 2% | 14% | 32% | 33% | 16% | 3% |
5 | LESCURE Dimitri | 1% | 11% | 30% | 36% | 18% | 3% |
6 | RAO Neil | 17% | 43% | 32% | 8% | 1% | - |
7 | GRAY Connor W. | - | 4% | 19% | 36% | 31% | 10% |
8 | TIEMANN Landen | - | 5% | 23% | 43% | 27% | 2% |
9 | NIXON Scott | - | 3% | 14% | 32% | 36% | 15% |
10 | CORTRIGHT Caedmon | 1% | 6% | 25% | 43% | 24% | 2% |
11 | WIEGAND-SHAHANI Braden M. | 1% | 9% | 29% | 37% | 20% | 4% |
12 | LIBSON Tazman | - | 2% | 14% | 39% | 37% | 8% |
13 | COHEN Nathan | 9% | 33% | 38% | 17% | 3% | - |
14 | ELLISOR Drayten | 1% | 9% | 35% | 37% | 16% | 2% |
15 | YANG Zeph | - | 5% | 19% | 36% | 30% | 9% |
16 | CHEN Leetyan | 19% | 45% | 30% | 6% | - | - |
17 | QIAN Irvine | 5% | 27% | 38% | 23% | 6% | 1% |
18 | SANCHEZ Emanuel | - | 2% | 11% | 30% | 39% | 19% |
19 | RUFFNER Blake W. | - | 1% | 10% | 32% | 40% | 17% |
20 | ELLISON Harper F. | - | 2% | 16% | 38% | 34% | 10% |
21 | RIBAUDO David J. | 1% | 8% | 30% | 44% | 16% | 1% |
22 | ZANKOWSKI Brendan | 11% | 37% | 37% | 14% | 2% | - |
23 | PEREZ Daniel | 11% | 48% | 32% | 8% | 1% | - |
23 | TALLEY Blake | 29% | 43% | 23% | 5% | - | - |
25 | QURESHI Shaheer | 10% | 33% | 35% | 18% | 4% | - |
26 | WELDON Marten | 9% | 31% | 37% | 19% | 4% | - |
27 | WHITLEY Gary L. | 4% | 21% | 36% | 28% | 10% | 1% |
28 | RUSS Zachary | 66% | 30% | 4% | - | - | - |
29 | MORRIS Quentin | 34% | 43% | 19% | 4% | - | - |
30 | AVILA Jose | 12% | 36% | 34% | 14% | 3% | - |
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.