Rockland Community College, Eugene Levy Field House - Suffern, 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 | STAMIS Kyle | - | - | 3% | 12% | 29% | 37% | 19% |
2 | ZHENG LEON | - | 1% | 6% | 24% | 41% | 25% | 4% |
3 | PRIEUR Christian F. | - | 2% | 9% | 24% | 34% | 25% | 7% |
3 | HUANG Maxwell H. | - | 2% | 11% | 28% | 35% | 20% | 4% |
5 | WONG Caleb W. | - | 4% | 15% | 30% | 31% | 17% | 3% |
6 | WANG Max | - | 1% | 5% | 20% | 35% | 30% | 10% |
7 | BODKIN Jake M. | 1% | 6% | 20% | 32% | 27% | 11% | 2% |
8 | SCHIMEL Luke | 3% | 16% | 32% | 30% | 15% | 4% | - |
9 | JENSBY Jason | - | - | 2% | 9% | 27% | 40% | 23% |
10 | KETT Richard | 2% | 21% | 38% | 28% | 10% | 2% | - |
11 | AERY FALLICK Ozzie | - | - | 1% | 8% | 29% | 42% | 20% |
12 | COOKSON Leonardo | - | 3% | 15% | 32% | 32% | 15% | 3% |
13 | LIU Andrew | 1% | 6% | 21% | 35% | 27% | 10% | 1% |
14 | WITCZAK Mateus | - | 1% | 8% | 21% | 33% | 27% | 9% |
15 | CHENG Brandon | - | 1% | 6% | 20% | 35% | 29% | 10% |
16 | BERGER Jacob | - | 5% | 19% | 33% | 29% | 12% | 2% |
17 | SUN Andrew | - | - | 1% | 6% | 22% | 41% | 30% |
18 | LUAN Mark | - | 1% | 7% | 22% | 35% | 27% | 8% |
19 | SADHU Neiyam | - | 2% | 11% | 27% | 34% | 21% | 5% |
20 | AO Christopher | - | 2% | 9% | 25% | 35% | 23% | 6% |
21 | SIMATOS Luka D. | 1% | 7% | 21% | 32% | 26% | 11% | 2% |
22 | GRIECI Noah | - | 1% | 6% | 19% | 34% | 30% | 10% |
23 | POWER Alex | - | 4% | 15% | 30% | 32% | 16% | 3% |
24 | JI Johnson | 10% | 29% | 33% | 20% | 6% | 1% | - |
25 | DE SIENA Salvatore | - | 3% | 15% | 30% | 32% | 16% | 3% |
26 | CARR Dylan | - | - | 4% | 19% | 37% | 31% | 9% |
27 | PORTER Dupree | - | 1% | 7% | 23% | 35% | 27% | 7% |
28 | ARBEITMAN Evan | 7% | 24% | 34% | 24% | 9% | 2% | - |
29 | KUMAR Arjun | 1% | 9% | 25% | 33% | 23% | 8% | 1% |
30 | HARRINGTON Connor | 1% | 6% | 18% | 31% | 29% | 13% | 2% |
31 | IVRON Yonatan | 5% | 21% | 33% | 27% | 12% | 3% | - |
32 | DESAUTELS Connor | - | 4% | 15% | 31% | 31% | 16% | 3% |
33 | ZWAKA Jonas | 6% | 24% | 35% | 24% | 9% | 2% | - |
34 | COUNTS Nicholas | - | 1% | 6% | 20% | 35% | 30% | 9% |
35 | O'LOUGHLIN Quinlan | 1% | 13% | 34% | 34% | 15% | 3% | - |
36 | SWIERZ Zachary | - | 5% | 19% | 34% | 29% | 11% | 1% |
37 | KALOUDIS Sean | 1% | 9% | 25% | 33% | 23% | 7% | 1% |
37 | LIEUWMA Nico | 1% | 10% | 26% | 34% | 22% | 7% | 1% |
39 | WEISS Toby | 2% | 18% | 36% | 30% | 12% | 2% | - |
40 | TERENTIEV Max | - | - | 2% | 10% | 29% | 39% | 20% |
41 | ROSADO Sebastian | 8% | 25% | 34% | 23% | 9% | 2% | - |
42 | TOZZI Massimo | - | 1% | 8% | 23% | 35% | 26% | 8% |
43 | BAHK Caleb | 1% | 8% | 24% | 34% | 24% | 8% | 1% |
43 | MATTINGLY Ian | 6% | 24% | 35% | 24% | 9% | 2% | - |
45 | BANSAL Krishiv | 3% | 17% | 32% | 30% | 14% | 3% | - |
46 | BLACKBURN Henry | 5% | 23% | 35% | 26% | 10% | 2% | - |
47 | LOSQUADRO Joseph | 6% | 25% | 37% | 24% | 8% | 1% | - |
48 | LYU SIYI | - | 3% | 13% | 28% | 32% | 19% | 4% |
49 | SHEYNZON Benjamin | 19% | 37% | 29% | 12% | 3% | - | - |
50 | PODDAR Shameek | 3% | 17% | 32% | 30% | 14% | 3% | - |
51 | ABDELGAWAD Abdelrahman | 3% | 18% | 34% | 29% | 12% | 2% | - |
52 | LAMTAN Christoffer | 7% | 24% | 34% | 24% | 9% | 2% | - |
53 | IVRON Daniel | 33% | 42% | 20% | 5% | 1% | - | - |
54 | WOLMART Zander | 12% | 40% | 34% | 12% | 2% | - | - |
55 | TSAI Kash | 42% | 42% | 14% | 2% | - | - | - |
56 | HENDERSON Lucas | 1% | 8% | 23% | 33% | 25% | 9% | 1% |
57 | TASIKAS Peter | 5% | 19% | 32% | 28% | 13% | 3% | - |
58 | SORENSEN Walker | - | 1% | 5% | 20% | 36% | 30% | 9% |
58 | GREENE Kevin | 13% | 35% | 33% | 15% | 3% | - | - |
60 | GAO Kai | 21% | 39% | 28% | 10% | 2% | - | - |
61 | QUAIL Jonathan | 5% | 21% | 34% | 27% | 11% | 2% | - |
62 | SAYAR Luke | 24% | 40% | 26% | 9% | 2% | - | - |
63 | NOVOJILOV Daniel | 60% | 33% | 7% | 1% | - | - | - |
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.