Manhattan Fencing Center - New York, 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 | ZHAI Alex | - | - | 2% | 10% | 29% | 39% | 19% |
2 | LIU Jeremy | 2% | 18% | 35% | 30% | 12% | 3% | - |
3 | GUGALA Frank | - | 4% | 16% | 34% | 33% | 13% | |
3 | KUPERBERG Thomas | - | 5% | 18% | 35% | 31% | 11% | |
5 | HUANG Dalynn | - | 2% | 11% | 30% | 39% | 19% | |
6 | SHEN Lucas | 1% | 10% | 28% | 36% | 21% | 4% | |
7 | XIA Vincent | 1% | 7% | 24% | 37% | 25% | 6% | |
8 | IM Andrew | 11% | 33% | 36% | 17% | 4% | - | |
9 | DEGRYSE Leopold | 7% | 26% | 36% | 23% | 7% | 1% | |
10 | YANG Luca | - | 1% | 7% | 25% | 41% | 25% | |
11 | FREL Vincent | - | 1% | 10% | 29% | 37% | 20% | 4% |
12 | TIMCHENKO Fiodor | 1% | 10% | 28% | 36% | 21% | 4% | |
13 | YANG Crescent | 3% | 18% | 34% | 30% | 13% | 2% | |
14 | MOON Nolan | - | 2% | 12% | 31% | 37% | 17% | |
15 | SONG Enoch | - | - | 4% | 16% | 34% | 34% | 12% |
16 | LI Andrew | 2% | 15% | 36% | 32% | 13% | 2% | - |
17 | YOON Mason | 2% | 16% | 39% | 33% | 10% | 1% | |
18 | WU Max | 1% | 6% | 22% | 36% | 28% | 7% | |
19 | LEE Ryan | 10% | 32% | 36% | 18% | 4% | - | |
20 | LAWRENCE James | - | 3% | 15% | 36% | 35% | 11% | |
21 | DING Jacob | 1% | 5% | 19% | 35% | 30% | 9% | |
22 | YU Adam | 4% | 18% | 34% | 30% | 12% | 2% | |
23 | FANG Lionel | 5% | 21% | 35% | 28% | 10% | 1% | |
24 | FOMIN Dashiell | 7% | 27% | 37% | 23% | 6% | 1% | |
25 | KIM Marcus | 14% | 37% | 33% | 13% | 2% | - | |
26 | WU Connor | 17% | 37% | 31% | 13% | 3% | - | |
27 | PANG Owen | 46% | 41% | 12% | 2% | - | - | - |
28 | SRIVASTAVA Daniel | 11% | 31% | 35% | 18% | 5% | - | |
29 | XIE ZhouHan | 13% | 34% | 34% | 16% | 4% | - | |
30 | LEE Thomas | 26% | 42% | 25% | 7% | 1% | - | |
31 | BROCKMEYER Richard | 1% | 9% | 32% | 39% | 16% | 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.