Fencers Club Inc. - New York, NY, USA
Explore the probability of achieving at least a certain number of victories in the pool 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 | MOORE Shomari | 100% | 100% | 100% | 100% | 99% | 82% | 36% |
2 | XIA Dashan | 100% | 100% | 99% | 95% | 79% | 45% | 11% |
3 | MACARTY Jordan | 100% | 100% | 100% | 99% | 91% | 64% | 23% |
5 | MAO Benjamin | 100% | 100% | 100% | 100% | 99% | 88% | 50% |
6 | NORMILE Nicholas | 100% | 100% | 98% | 88% | 57% | 16% | |
7 | ARAVIND Athreya | 100% | 100% | 98% | 87% | 57% | 18% | |
8 | KOEPPEL Levi | 100% | 100% | 95% | 77% | 43% | 13% | 2% |
9 | KIM Henry | 100% | 100% | 99% | 92% | 65% | 25% | 3% |
10 | CASERTANO Lorenzo | 100% | 100% | 98% | 87% | 56% | 18% | |
11 | TSE Maxwell | 100% | 100% | 99% | 91% | 66% | 29% | 5% |
12 | CHEN Leonardo | 100% | 100% | 100% | 96% | 78% | 43% | 11% |
13 | FULLER George | 100% | 100% | 100% | 99% | 93% | 69% | 27% |
14 | RIM Eugene | 100% | 99% | 88% | 59% | 24% | 5% | - |
15 | SHA Michael | 100% | 87% | 52% | 18% | 3% | - | |
16 | COHEN Jared | 100% | 96% | 75% | 39% | 11% | 1% | |
17 | YU Samuel | 100% | 98% | 87% | 56% | 22% | 4% | < 1% |
18 | CHEIAN Dinis | 100% | 100% | 97% | 82% | 48% | 13% | |
19 | KAPLAN Maddox | 100% | 94% | 66% | 26% | 4% | < 1% | - |
20 | KRAVIT Connor BE | 100% | 100% | 100% | 100% | 96% | 67% | 20% |
21 | MANN Jake | 100% | 100% | 100% | 100% | 100% | 97% | 70% |
22 | CAI Brian | 100% | 100% | 100% | 98% | 87% | 56% | 17% |
23 | CHEN Allen | 100% | 98% | 82% | 43% | 8% | 1% | - |
24 | CARPENTER Liam | 100% | 100% | 100% | 99% | 92% | 53% | 12% |
25 | COCCHINI Lorenzo | 100% | 100% | 97% | 85% | 56% | 22% | 3% |
26 | MCGRATH Sean | 100% | 99% | 88% | 53% | 16% | 2% | |
27 | CHEN Edward | 100% | 59% | 17% | 2% | - | - | |
28 | POLSTER Joshua | 100% | 100% | 97% | 83% | 52% | 19% | 3% |
29 | YAMAGUCHI Yuzuki | 100% | 96% | 75% | 37% | 9% | 1% | |
30 | WONG King-Yee | 100% | 99% | 94% | 72% | 37% | 10% | 1% |
31 | PAPADOPOULOS Maria | 100% | 88% | 49% | 14% | 2% | - | |
32 | SUBRAMANIAM Sahil | 100% | 96% | 74% | 32% | 7% | 1% | - |
33 | GARCIA-CABRERA Jeffrey | 100% | 100% | 99% | 93% | 64% | 20% | 2% |
34 | HILBERT Gabriel | 100% | 100% | 99% | 92% | 63% | 20% | |
35 | ACAR Devin | 100% | 93% | 65% | 27% | 6% | 1% | - |
36 | AU Joshua | 100% | 73% | 30% | 6% | 1% | - | - |
37 | NILSEN Mark | 100% | 74% | 34% | 9% | 1% | - | - |
38 | PIASIO Jack | 100% | 99% | 90% | 63% | 26% | 4% | |
39 | CHEN YiHeng | 100% | 81% | 41% | 12% | 2% | - | |
40 | CHEN Jayden | 100% | 99% | 94% | 71% | 35% | 8% | 1% |
41 | FIEDERLEIN Andrew | 100% | 100% | 100% | 99% | 90% | 55% | 9% |
42 | DANIEL Camron | 100% | 100% | 100% | 98% | 83% | 40% | |
42 | MILINKOVIC Maksim | 100% | 83% | 44% | 13% | 2% | - | |
44 | LATORA Nicholas | 100% | 93% | 66% | 28% | 7% | 1% | - |
44 | RVACHEV Michael | 100% | 94% | 70% | 32% | 7% | - | |
46 | GUMEDELLI Mohnish | 100% | 87% | 49% | 12% | 1% | - | - |
47 | KHOURY-LEVY Nicholas | 100% | 64% | 22% | 4% | - | - | - |
48 | VAN BREEMS Martin | 100% | 98% | 85% | 54% | 22% | 5% | - |
49 | HE Yurui | 100% | 71% | 27% | 4% | - | - | - |
50 | TATE William Isom | 100% | 97% | 79% | 43% | 13% | 2% | - |
51 | WEHMEYER Devin | 100% | 73% | 31% | 7% | 1% | - | - |
52 | CHOI Paul | 100% | 100% | 100% | 96% | 79% | 43% | 11% |
53 | WONG Maximus | 100% | 98% | 85% | 55% | 22% | 5% | - |
54 | LIN Yufei | 100% | 84% | 47% | 15% | 2% | - | - |
55 | SANCHEZ-BUSTOS Anasazi | 100% | 92% | 64% | 27% | 6% | 1% | - |
56 | LUNIEVICZ Joseph | 100% | 87% | 51% | 17% | 2% | - | |
57 | ESPINOZA SANTARIA rodrigo sebastian | 100% | 93% | 65% | 28% | 7% | 1% | - |
58 | ROMERO Javier | 100% | 99% | 90% | 61% | 23% | 4% | |
59 | NG Nico | 100% | 88% | 55% | 21% | 4% | - | - |
60 | KOGAN Yelisey | 100% | 90% | 55% | 16% | 1% | - | - |
60 | WEAVER David | 100% | 96% | 71% | 24% | 2% | - | - |
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.