Arlington, TX - Arlington, 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 | GRIFFIN John O. | - | - | - | 5% | 31% | 63% |
2 | BRATTON Jack S. | - | - | 2% | 12% | 38% | 48% |
3 | PARKINS Benjamin B. | - | - | - | 4% | 29% | 66% |
3 | CHOI Peter J. | - | 5% | 22% | 40% | 27% | 5% |
5 | DICKSON Farr R. | - | - | 2% | 12% | 39% | 47% |
6 | WANG Christopher M. | - | 1% | 13% | 40% | 39% | 7% |
7 | DESHMUKH Ayush | 1% | 9% | 31% | 41% | 17% | 2% |
8 | HAMILTON Bogdan A. | - | - | 1% | 12% | 39% | 48% |
9 | RUFFNER Blake W. | 1% | 12% | 34% | 37% | 15% | 1% |
9 | LOVERAS Orlando S. | 1% | 12% | 32% | 37% | 16% | 2% |
11 | BARLETTA Joseph | - | 4% | 18% | 38% | 33% | 7% |
12 | SOMANI Dhruv | 1% | 7% | 26% | 40% | 24% | 3% |
13 | MURRAY Maximo | 3% | 22% | 40% | 27% | 7% | 1% |
14 | STEPHENS Maximilian A. | 1% | 9% | 31% | 40% | 18% | 2% |
15 | KIM Louis | 19% | 41% | 31% | 9% | 1% | - |
16 | JAUME Andrei | 9% | 34% | 38% | 16% | 3% | - |
17 | SHIBU Pranav | - | 4% | 21% | 41% | 29% | 5% |
18 | CONVERSE Warren D. | 17% | 61% | 20% | 2% | - | - |
19 | NEWHARD Noah A. | 3% | 22% | 40% | 27% | 7% | - |
20 | YANG Andrew | 2% | 18% | 41% | 31% | 7% | - |
21 | HACKER Zac R. | 1% | 7% | 25% | 39% | 24% | 4% |
22 | SHOURDS Shalyn W. | 7% | 28% | 38% | 21% | 5% | - |
23 | FREEMAN Paris | 12% | 36% | 35% | 14% | 2% | - |
24 | ABDELGAWAD Abdelrahman | 6% | 24% | 37% | 25% | 7% | - |
24 | QUINONES Diego A. | 1% | 16% | 41% | 33% | 9% | - |
26 | GUO Zachary | 46% | 41% | 12% | 1% | - | - |
27 | YEE michael | 18% | 41% | 31% | 9% | 1% | - |
28 | MONTAGUE Dante | 33% | 44% | 19% | 4% | - | - |
29 | KLEPKO Gleb | 21% | 41% | 29% | 9% | 1% | - |
30 | BYLAK Mitchell | 33% | 43% | 20% | 4% | - | - |
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.