JMU University Rec Center - Harrisonburg, VA, 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 | MONTESI Eric | - | - | - | 2% | 13% | 38% | 47% |
2 | ANDERSON Derek M. | - | - | - | 4% | 18% | 41% | 37% |
3 | PANE Patrick | - | - | 4% | 21% | 41% | 29% | 5% |
3 | WATSON Raymond | 1% | 7% | 23% | 35% | 26% | 8% | 1% |
5 | WOODLEY George | - | 2% | 12% | 29% | 34% | 19% | 4% |
6 | WALLACE George | - | 3% | 13% | 31% | 33% | 17% | 3% |
7 | SARGEANT Jackson | - | 4% | 17% | 33% | 31% | 13% | 2% |
8 | COVITZ Ashley A. | 6% | 21% | 32% | 26% | 12% | 3% | - |
9 | BADLANI Neel | - | - | 3% | 19% | 42% | 32% | 4% |
10 | SINGH Jawand | - | - | 2% | 12% | 31% | 38% | 17% |
11 | BARTLETT Lauren | - | 7% | 36% | 38% | 16% | 3% | - |
12 | TANG Justin | 1% | 9% | 24% | 33% | 24% | 8% | 1% |
13 | YI Jason | - | 1% | 6% | 20% | 35% | 29% | 9% |
14 | CHAN Alfonso | 4% | 20% | 35% | 29% | 11% | 2% | - |
15 | JOHNSON Alex | - | - | 6% | 47% | 37% | 9% | 1% |
16 | ASBY Will | - | 1% | 6% | 23% | 38% | 27% | 6% |
17 | CAUTHEN Edwin | - | 2% | 10% | 27% | 36% | 21% | 4% |
18 | EARLY Isabel | 6% | 33% | 42% | 17% | 2% | - | - |
19 | KHATTAK Sara | 20% | 38% | 29% | 11% | 2% | - | - |
20 | BENNETT Quinlan | 2% | 11% | 28% | 33% | 20% | 6% | 1% |
21 | KELLOFF Michael | 2% | 11% | 27% | 33% | 21% | 6% | 1% |
22 | LUNDEN Espen | 2% | 14% | 36% | 36% | 12% | 1% | - |
23 | CHEN Shanshan | 18% | 40% | 30% | 10% | 1% | - | - |
24 | MOORE Mary | 4% | 20% | 34% | 28% | 11% | 2% | - |
25 | WALKER Joseph | 10% | 31% | 35% | 19% | 5% | 1% | - |
26 | THOMPSON Conner | 5% | 23% | 37% | 25% | 8% | 1% | - |
27 | PRESBY Alison | 11% | 36% | 37% | 13% | 2% | - | - |
28 | WEBER Nicole | 13% | 55% | 27% | 5% | - | - | - |
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.