Boston Fencing club - Boston, MA, 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 | KAO Castor T. | - | - | - | 1% | 19% | 80% |
2 | WU Alexander | - | - | - | 3% | 29% | 69% |
3 | GRAHAM Roy J. | - | - | 1% | 9% | 36% | 54% |
3 | STANLEY Mason B. | - | - | - | 6% | 34% | 59% |
5 | GONG Benjamin | - | - | 4% | 28% | 48% | 19% |
6 | LI Richard | - | - | - | 2% | 21% | 77% |
7 | ZHAI Jeffrey | - | - | - | 6% | 34% | 60% |
8 | DU Samuel R. | - | - | 3% | 21% | 46% | 30% |
9 | MIALL Steven A. | - | 1% | 11% | 37% | 39% | 12% |
10 | LEE Chris | - | 1% | 5% | 20% | 42% | 32% |
11 | LI Eric | - | - | 6% | 31% | 45% | 18% |
12 | COSTELLO Chaissen F. | - | - | 4% | 22% | 46% | 27% |
13 | JIANG Owen | - | - | 2% | 19% | 47% | 31% |
14 | LIN James G. | - | - | 3% | 27% | 56% | 14% |
15 | PO Oliver | - | 1% | 13% | 40% | 38% | 8% |
16 | SIMA Congyu Josh | - | 2% | 19% | 43% | 30% | 5% |
17 | LIN Michael | - | - | 3% | 20% | 48% | 30% |
18 | BING Charles | - | - | 4% | 20% | 46% | 30% |
19 | SHIN Joshua J. | - | 2% | 19% | 43% | 31% | 5% |
20 | YOON DYLAN | 3% | 18% | 39% | 31% | 8% | - |
21 | GUO Sean | - | 1% | 14% | 46% | 33% | 6% |
22 | SULLIVAN Jackson R. | - | - | - | 1% | 17% | 82% |
23 | LI Arvin | - | 4% | 38% | 43% | 14% | 1% |
24 | DAVIDSON Elliot | - | 1% | 22% | 47% | 27% | 2% |
25 | LEE Jonah | - | 4% | 25% | 44% | 24% | 3% |
26 | ACHILOV Sayid | - | 3% | 17% | 39% | 35% | 7% |
27 | SHA Yi Peng | - | - | 1% | 12% | 43% | 44% |
28 | BUCKLEY-JONES Henry C. | 6% | 24% | 36% | 25% | 8% | 1% |
29 | LI Aaron | - | 7% | 38% | 40% | 13% | 1% |
30 | MENG Zhaoyi | - | 2% | 25% | 47% | 22% | 3% |
31 | LIU Derek | 1% | 7% | 28% | 41% | 21% | 1% |
32 | FAN Xikai | 13% | 37% | 35% | 13% | 2% | - |
33 | KITAGAWA Eric S. | - | 7% | 29% | 41% | 21% | 1% |
34 | TAHOUN Mostafa | - | 5% | 22% | 37% | 28% | 7% |
35 | LANG Dong Lin | - | 1% | 16% | 45% | 35% | 3% |
36 | KLOTZ Isaiah | - | 8% | 31% | 41% | 19% | 1% |
37 | SHEN Mingxuan | 20% | 45% | 30% | 5% | - | - |
38 | SYOMICHEV Gleb A. | 3% | 18% | 35% | 30% | 12% | 2% |
39 | WANG Mason | 1% | 6% | 26% | 42% | 23% | 2% |
40 | KOVACS Wyatt | - | 7% | 42% | 39% | 11% | 1% |
41 | MCLEAN Miles K. | 1% | 11% | 33% | 38% | 15% | 2% |
42 | WU Michael | 4% | 35% | 41% | 18% | 3% | - |
43 | SEEDS Edward T. | 3% | 21% | 38% | 28% | 9% | 1% |
44 | GUO Justin | - | 2% | 19% | 54% | 23% | 2% |
45 | TSAI Max W. | - | 6% | 36% | 41% | 16% | 1% |
45 | WANG Rory | 32% | 47% | 19% | 2% | - | - |
47 | LI Ayren | 5% | 29% | 47% | 17% | 2% | - |
47 | BOUSSY Luciano | 29% | 45% | 22% | 4% | - | - |
49 | AUGUSTINE Aaron A. | 1% | 11% | 33% | 37% | 15% | 2% |
50 | DENG Kenny | 26% | 54% | 18% | 2% | - | - |
51 | SHAO Eric | 6% | 29% | 41% | 20% | 4% | - |
52 | LEVIN Michael | 9% | 29% | 36% | 20% | 5% | - |
53 | XU Ethan | 28% | 44% | 23% | 5% | - | - |
54 | ZHUANG Chuanxuan | 28% | 44% | 23% | 5% | - | - |
55 | HAZLETT Grady | 56% | 39% | 5% | - | - | - |
56 | CANEDO James | 77% | 21% | 2% | - | - | - |
57 | WUN Jonathan | 47% | 44% | 8% | 1% | - | - |
58 | SUN Ryan | 33% | 54% | 12% | 1% | - | - |
59 | POPE Alexander | 31% | 46% | 20% | 3% | - | - |
60 | CHESSA Giovanni | 10% | 37% | 39% | 12% | 1% | - |
61 | LEE Brendan | 7% | 30% | 40% | 19% | 3% | - |
62 | CHANDRAMOHAN Aran | 29% | 58% | 13% | 1% | - | - |
63 | DOHONEY Tommy | 51% | 44% | 4% | - | - | - |
64 | ZHEN Ethan | < 1% | 9% | 33% | 40% | 17% | 1% |
65 | GREENLEAF Paul | 10% | 38% | 42% | 10% | 1% | - |
66 | XU Ethan | 21% | 44% | 28% | 7% | 1% | - |
67 | GARDINER Luke J. | 25% | 48% | 24% | 3% | - | - |
68 | YU Stephen | 23% | 51% | 23% | 2% | - | - |
69 | BISHOP Henry | 43% | 44% | 12% | 1% | - | - |
70 | FRANK Amir | 37% | 55% | 8% | - | - | - |
71 | EBERMAN Henry | 52% | 41% | 7% | - | - | - |
72 | PILIPSKI Aiden | 19% | 43% | 29% | 8% | 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.