North Shore Fencers Club - Long Island, 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 | ||
1 | ZAGORUIKO Ivan | - | - | - | 2% | 39% | 58% |
2 | DOELEMAN Zeno | - | - | 1% | 9% | 48% | 43% |
3 | GRIFFITHS Ryan | - | - | - | 1% | 20% | 79% |
3 | KNOX James | - | - | - | 7% | 37% | 56% |
5 | TSINIS Alex | - | - | - | 5% | 95% | |
6 | SVERDLOV Seth | - | - | 9% | 38% | 47% | 6% |
7 | KOEPPEL Levi | - | 4% | 17% | 36% | 33% | 10% |
8 | ZHANG Jie | - | 1% | 8% | 30% | 43% | 17% |
9 | GUMEDELLI Mohnish | 1% | 17% | 38% | 31% | 11% | 1% |
10 | DOUBOV Andrew | 1% | 10% | 34% | 43% | 12% | - |
11 | VAYSBUKH Konstantin | - | - | 2% | 16% | 57% | 25% |
12 | KOKENGE Reid | - | - | 6% | 35% | 46% | 14% |
13 | CHANG Che | - | 3% | 16% | 35% | 34% | 12% |
14 | XIA Dashan | - | 1% | 6% | 28% | 49% | 16% |
15 | NORMILE Nicholas | - | 4% | 19% | 37% | 31% | 9% |
16 | ZHAO kuncheng | 1% | 9% | 30% | 37% | 19% | 4% |
17 | CHEN Leonardo | - | 3% | 15% | 34% | 35% | 13% |
18 | FAICCO Joseph | - | 2% | 13% | 35% | 39% | 11% |
19 | LIOU Solomon | - | - | 8% | 42% | 41% | 9% |
20 | LI Morgan | - | 9% | 42% | 41% | 8% | - |
20 | BOUDREAUX James | - | 1% | 5% | 22% | 42% | 30% |
22 | HU Robert | - | 3% | 16% | 35% | 34% | 11% |
23 | KRAVIT Connor | - | - | - | 10% | 41% | 49% |
24 | LI Jade | 4% | 19% | 36% | 30% | 11% | 1% |
25 | REPIC Oliver | 1% | 13% | 34% | 34% | 15% | 2% |
26 | CHEN Edward | 15% | 47% | 33% | 5% | - | - |
27 | SERAFIN Ben | - | 1% | 10% | 30% | 40% | 20% |
28 | CHEIAN Dinis | - | - | 1% | 13% | 51% | 36% |
29 | NILSEN Mark | 14% | 37% | 34% | 13% | 2% | - |
30 | CAI Brian | - | - | 2% | 12% | 40% | 46% |
31 | KARIMOV Amir | 2% | 17% | 36% | 31% | 12% | 2% |
32 | WU Jerry | 9% | 30% | 37% | 19% | 4% | - |
33 | ISAAC Joseph | - | - | - | 4% | 37% | 59% |
34 | WONG King-Yee | 4% | 23% | 42% | 27% | 4% | - |
35 | ACAR Devin | 15% | 47% | 32% | 5% | - | |
36 | LIN Nathan | 3% | 18% | 36% | 31% | 10% | 1% |
37 | MILINKOVIC Maksim | 12% | 40% | 34% | 12% | 2% | - |
38 | LIU Adam | - | 4% | 30% | 47% | 18% | 1% |
39 | BUACHIE Aaron | 1% | 11% | 29% | 36% | 19% | 4% |
40 | NESTERCZUK Maddox | - | 9% | 41% | 41% | 8% | - |
41 | CHOI Joong Kyung | - | 2% | 12% | 32% | 38% | 17% |
41 | LAU LUCAS | 24% | 55% | 19% | 2% | - | - |
43 | ZENG Andrew | 2% | 17% | 39% | 33% | 8% | 1% |
44 | TSE Maxwell | - | 7% | 35% | 55% | 2% | |
45 | RIM Eugene | 4% | 19% | 36% | 29% | 10% | 1% |
46 | SUN Lucas | 14% | 35% | 33% | 15% | 3% | - |
47 | NABAVI Matthew | - | 6% | 25% | 38% | 25% | 6% |
47 | CHU Brandon | - | 7% | 42% | 40% | 10% | - |
49 | SUBRAMANIAM Sahil | 16% | 40% | 33% | 10% | 1% | - |
50 | KYPRAIOS Nicholas | 1% | 15% | 36% | 33% | 13% | 2% |
51 | GAO Victor | 10% | 34% | 38% | 16% | 2% | - |
52 | CHEN Jayden | 8% | 36% | 45% | 11% | - | |
53 | RVACHEV Michael | 25% | 44% | 26% | 6% | - | - |
54 | LECUYER-SCHOONMAKER Declan | 10% | 41% | 40% | 8% | 1% | - |
55 | ZOGRAFOS Nicholas | 11% | 36% | 38% | 14% | 1% | - |
55 | WONG Maximus | 3% | 21% | 41% | 29% | 6% | - |
57 | YU Samuel | 3% | 18% | 37% | 31% | 11% | 1% |
58 | FERRAIOLO James | 10% | 34% | 39% | 15% | 1% | - |
59 | ANDRUS Julien | 71% | 27% | 2% | - | - | - |
60 | NG Nico | 31% | 45% | 21% | 3% | - | - |
61 | CHEMAKIN Maxim | 67% | 28% | 4% | - | - | - |
62 | KUSACTAY Eric | 46% | 42% | 11% | 1% | - | |
63 | KOKENGE Chad | 13% | 34% | 34% | 15% | 3% | - |
64 | ABEND James | 33% | 45% | 19% | 3% | - | - |
65 | GAO "George" Xiaojiang | 12% | 34% | 35% | 15% | 3% | - |
66 | O'BRIEN Timothy | 11% | 37% | 38% | 13% | 1% | - |
66 | MOORE James | 56% | 39% | 5% | - | - | - |
68 | STEVENS Owen | 16% | 63% | 19% | 2% | - | - |
68 | CHAU Collin | 45% | 43% | 12% | 1% | - | - |
70 | SHAO Yuecheng | 12% | 33% | 34% | 17% | 4% | - |
71 | LEE Elijah | 80% | 19% | 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.