Mission Fencing Center - Rocky Point, NY, 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 | MEDVEDEV Michail D. | - | 9% | 32% | 36% | 18% | 4% | - |
2 | GREENE Cameron J. | - | 1% | 8% | 30% | 39% | 19% | 3% |
3 | MICHELL Bailey | - | - | - | 4% | 21% | 44% | 31% |
3 | VILLARREAL Mateo | - | 1% | 7% | 24% | 39% | 25% | 5% |
5 | YEN Preston | - | - | 4% | 17% | 35% | 33% | 12% |
6 | SHANAHAN Adam E. | - | - | 4% | 18% | 36% | 32% | 10% |
7 | FLOT Tai A. | - | 3% | 17% | 35% | 31% | 13% | 2% |
8 | CHEN Evan P. | - | 1% | 11% | 34% | 37% | 16% | 2% |
9 | HAN Daniel Y. | - | - | 1% | 7% | 27% | 44% | 22% |
10 | MICLAUS Justin | - | - | 5% | 18% | 35% | 31% | 11% |
11 | KIM-COGAN Ryan | - | - | 2% | 13% | 34% | 38% | 13% |
12 | SHAHZAD Azlan A. | 1% | 8% | 37% | 37% | 14% | 2% | - |
13 | PIWOWAR Alex | - | 3% | 16% | 33% | 31% | 14% | 2% |
14 | LIU Mingyang Ryan | - | 2% | 13% | 31% | 33% | 17% | 3% |
15 | WEBER Mattias A. | 2% | 33% | 41% | 20% | 5% | 1% | - |
16 | WONG Ryan | - | 1% | 5% | 20% | 35% | 30% | 10% |
17 | FIELDS Matthew S. | - | 3% | 16% | 33% | 31% | 14% | 2% |
18 | VOSS Jeffer | 2% | 13% | 32% | 35% | 16% | 3% | - |
19 | CUSUMANO Neal | 20% | 40% | 29% | 9% | 1% | - | - |
20 | MOSKOWITZ Mason C. | - | - | 5% | 19% | 36% | 30% | 9% |
21 | ZHENG Edward L. | - | - | 1% | 6% | 26% | 44% | 24% |
22 | KAPOOR Tanmay | 11% | 33% | 36% | 17% | 3% | - | - |
23 | BROOK Joel | 9% | 30% | 37% | 19% | 4% | - | - |
24 | RYAN Kai | 5% | 35% | 38% | 17% | 4% | - | - |
25 | AGREDO Marcel | 45% | 45% | 9% | 1% | - | - | - |
26 | SHELMIDINE Cole | 73% | 24% | 3% | - | - | - | - |
27 | KLEVA Logan | 33% | 53% | 13% | 1% | - | - | - |
28 | CHANTIS Nikolaos | 88% | 11% | - | - | - | - | - |
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.