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 | ZHAO Zidong | - | - | 1% | 7% | 25% | 41% | 26% |
2 | FANG Hanning | - | 1% | 10% | 32% | 41% | 15% | |
3 | LEE DoWon | - | 3% | 12% | 27% | 33% | 21% | 5% |
3 | XIAO Hanzhi (Shawn) | - | - | 1% | 6% | 24% | 42% | 27% |
5 | SIYANKO Joshua | - | - | - | 2% | 14% | 41% | 43% |
6 | NORMILE Nicholas | - | - | 4% | 21% | 43% | 31% | |
7 | SUN Lucas | - | 1% | 7% | 23% | 37% | 26% | 6% |
8 | DUKO Phillip | - | 3% | 16% | 37% | 34% | 10% | |
9 | DOUBOV Andrew | - | 2% | 11% | 31% | 38% | 18% | |
10 | JIANG Matthew | - | - | 3% | 15% | 33% | 34% | 14% |
11 | GAO Victor | 1% | 8% | 27% | 36% | 22% | 6% | - |
12 | SHOUSHA Hamza | - | 1% | 6% | 23% | 37% | 27% | 7% |
13 | AGROMAYOR Benjamin | - | - | 3% | 14% | 31% | 35% | 16% |
14 | ANAFI Ari | - | 3% | 16% | 36% | 35% | 10% | |
15 | WU Jerry | 1% | 8% | 26% | 37% | 22% | 5% | |
16 | YANG Alex | 1% | 7% | 25% | 37% | 23% | 7% | 1% |
17 | WONG Maximus | 1% | 7% | 21% | 32% | 26% | 11% | 2% |
18 | LEE Aiden | - | - | 5% | 22% | 43% | 30% | |
19 | YAMAGUCHI Yuzuki | 1% | 9% | 29% | 37% | 21% | 4% | |
20 | LIN Zizhen | - | 2% | 13% | 31% | 35% | 17% | 2% |
21 | ZOGRAFOS Nicholas | - | 6% | 22% | 35% | 27% | 10% | 1% |
22 | XIE Brandon | - | - | 4% | 20% | 44% | 32% | |
23 | HELMY Richard | 2% | 22% | 39% | 28% | 8% | 1% | |
24 | WU Chi Kuan | 1% | 6% | 22% | 35% | 27% | 9% | 1% |
25 | CHEN Edward | 8% | 36% | 37% | 16% | 3% | - | - |
26 | NILSEN Mark | 2% | 12% | 29% | 32% | 19% | 5% | 1% |
27 | SINGH RANGER Harvir | 1% | 9% | 30% | 37% | 19% | 4% | |
28 | NALLICHERI Ayaan | 7% | 28% | 38% | 22% | 5% | - | |
29 | WILLIAMS Logan | - | 2% | 9% | 26% | 35% | 23% | 6% |
30 | WANG-SONG Evan | 3% | 17% | 32% | 30% | 14% | 3% | - |
31 | LEE Henry | 7% | 31% | 36% | 20% | 5% | 1% | - |
32 | AHMED Mohsen | - | 5% | 20% | 36% | 28% | 10% | 1% |
33 | MILINKOVIC Maksim | 10% | 29% | 34% | 20% | 6% | 1% | - |
34 | ZHANG Lucas | - | 1% | 7% | 25% | 37% | 25% | 6% |
35 | ZHAI Junqi | 2% | 14% | 30% | 31% | 18% | 5% | 1% |
36 | LI Jade | 3% | 17% | 37% | 30% | 11% | 2% | - |
37 | CHEN Luowen | - | 1% | 8% | 24% | 35% | 25% | 7% |
37 | RIM Eugene | - | 6% | 22% | 35% | 26% | 9% | 1% |
39 | LENNON Nicholas | - | 2% | 11% | 27% | 34% | 20% | 5% |
40 | LIN Nathan | - | 1% | 5% | 21% | 37% | 28% | 7% |
41 | CAO Ray | 1% | 7% | 26% | 39% | 23% | 4% | |
42 | KARIMOV Amir | - | 5% | 21% | 39% | 29% | 7% | |
43 | ZHANG Jason | 4% | 22% | 39% | 27% | 7% | 1% | |
44 | CRESPO Nathaniel Justus | 21% | 42% | 28% | 8% | 1% | - | |
45 | GLUSHKOV David | 29% | 40% | 23% | 7% | 1% | - | - |
46 | ALAM Rajan | 11% | 31% | 34% | 18% | 5% | 1% | - |
47 | KIM Tae | 1% | 6% | 24% | 36% | 25% | 8% | 1% |
48 | MA YIXING (Tiger) | 1% | 9% | 25% | 33% | 23% | 8% | 1% |
49 | RVACHEV Michael | 7% | 29% | 38% | 20% | 5% | - | |
50 | LUR'YE Killian | 30% | 42% | 22% | 5% | 1% | - | |
51 | XIAO Yichen | - | 2% | 10% | 26% | 34% | 22% | 6% |
52 | CHEN Jayden | - | 3% | 14% | 29% | 32% | 18% | 4% |
53 | SUBRAMANIAM Sahil | 16% | 40% | 31% | 11% | 2% | - | - |
54 | NUSCHKE Conrad | - | 2% | 11% | 29% | 35% | 19% | 3% |
55 | HE Bronto | 21% | 45% | 26% | 6% | 1% | - | - |
56 | BUIKEVICH Ihnat | 32% | 44% | 20% | 4% | - | - | - |
57 | YI Nathan | - | 5% | 22% | 37% | 28% | 7% | |
58 | HENNESSY Levon | 39% | 42% | 16% | 3% | - | - | |
59 | LI Ray | 10% | 39% | 36% | 13% | 2% | - | |
60 | LYCHKO Maksym | 5% | 25% | 40% | 24% | 6% | - | |
61 | KIM Henry | - | 1% | 8% | 23% | 35% | 26% | 7% |
62 | SONG Ryan | 56% | 35% | 8% | 1% | - | - | |
63 | LI Ryan | 31% | 44% | 20% | 4% | - | - | - |
64 | NUSCHKE Luka | 23% | 44% | 27% | 6% | 1% | - | |
65 | LIN ZICHEN | 49% | 39% | 11% | 1% | - | - | - |
66 | CHANG Ian | 43% | 40% | 14% | 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.