Boston, MA - Boston, MA, 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 | LAVENSTEIN Kinley V. | - | 3% | 15% | 32% | 35% | 15% |
2 | JIN Owen | 1% | 5% | 19% | 34% | 30% | 10% |
3 | LAI Coby | 3% | 16% | 32% | 31% | 15% | 3% |
3 | WU Joseph | 1% | 9% | 28% | 36% | 21% | 4% |
5 | MORSE Tyler | 1% | 9% | 25% | 35% | 23% | 6% |
6 | YUROVCHAK Andrew T. | - | 2% | 12% | 31% | 38% | 17% |
7 | GOHEL Dayus T. | 1% | 6% | 21% | 35% | 29% | 9% |
8 | LEHR William D. | 1% | 8% | 25% | 36% | 24% | 6% |
9 | LONCAR Luka E. | 2% | 14% | 32% | 33% | 16% | 3% |
10 | STUSNICK Hunter | - | - | - | 7% | 37% | 56% |
11 | COLLYMORE Spencer T. | 1% | 9% | 27% | 36% | 22% | 5% |
12 | KRONROD Tal | - | - | 6% | 28% | 50% | 17% |
13 | PRIHODKO Max | 2% | 15% | 38% | 35% | 10% | 1% |
14 | SIMPSON Patrick | 4% | 19% | 34% | 29% | 12% | 2% |
15 | FELDMAN Jaemin | 2% | 13% | 31% | 34% | 17% | 3% |
16 | RICHARD Owen | 6% | 25% | 36% | 24% | 8% | 1% |
17 | INSLER Ethan C. | - | 3% | 14% | 32% | 36% | 16% |
18 | SHAH Maximilian A. | 2% | 12% | 29% | 34% | 19% | 4% |
19 | GUI Runlin | 2% | 15% | 34% | 33% | 15% | 2% |
20 | PAPAVASSILIOU Christos | 15% | 35% | 32% | 15% | 3% | - |
21 | ZHAO corey | 19% | 38% | 29% | 11% | 2% | - |
22 | CHOI Mason | 9% | 29% | 35% | 20% | 6% | 1% |
23 | WU Jonathan | 46% | 40% | 12% | 1% | - | - |
24 | FERREIRA Noah J. | 7% | 25% | 35% | 24% | 8% | 1% |
25 | SIDDIQUI Humza K. | 7% | 25% | 35% | 24% | 8% | 1% |
26 | BELLIVEAU Raven C. | 2% | 15% | 33% | 33% | 15% | 3% |
27 | SPRINGER Michael | 43% | 40% | 15% | 3% | - | - |
28 | PAHLAVI Kamran | 7% | 33% | 40% | 17% | 2% | - |
29 | LANGTON Sawyer | 3% | 17% | 33% | 31% | 13% | 2% |
30 | SANTOS Felipe | 5% | 27% | 42% | 23% | 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.