SportsPlex at Metuchen - Metuchen, NJ, 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 | TEMPLE Jackson | - | 1% | 7% | 24% | 41% | 28% | |
2 | TAHOUN Mostafa | - | - | 3% | 12% | 31% | 37% | 17% |
3 | DAUM Charlie | 2% | 12% | 29% | 35% | 19% | 4% | |
3 | STRAYER Andrew | - | - | - | 5% | 24% | 44% | 27% |
5 | LEE Jonah | - | 9% | 30% | 38% | 20% | 3% | |
6 | LIN James G. | - | - | - | 2% | 13% | 41% | 44% |
7 | LAUN Drew P. | - | - | 4% | 21% | 43% | 31% | |
8 | KALIPERSAD Neil A. | - | 4% | 16% | 32% | 31% | 14% | 2% |
9 | DRESSEL Jet | - | 5% | 18% | 33% | 29% | 13% | 2% |
10 | JOSEPH Willem | - | - | 2% | 17% | 51% | 29% | |
11 | KLEIN Sebastian W. | - | - | 3% | 14% | 35% | 37% | 10% |
12 | LANG Dong Lin | - | - | 1% | 8% | 26% | 41% | 24% |
13 | LIU Ryan | 2% | 14% | 31% | 32% | 16% | 4% | - |
14 | MILLER Aidan A. | - | - | 2% | 13% | 36% | 37% | 12% |
15 | MENG Zhaoyi | - | 1% | 4% | 16% | 33% | 33% | 13% |
16 | LEE Eugene | 8% | 30% | 37% | 20% | 5% | - | - |
17 | TSAI Max W. | - | 1% | 7% | 26% | 37% | 23% | 5% |
18 | TRUBETSKI David | 1% | 8% | 23% | 33% | 24% | 9% | 1% |
19 | LE Vyn A. | - | 2% | 13% | 36% | 37% | 11% | |
20 | BROWN Alexander R. | - | - | 4% | 18% | 36% | 32% | 10% |
21 | ORLOV Dmitriy | - | 1% | 5% | 18% | 34% | 31% | 11% |
22 | LI Eric | - | - | 1% | 10% | 45% | 44% | |
23 | ZHEN Ethan | - | 4% | 20% | 38% | 30% | 8% | |
24 | WANG Julang | 7% | 27% | 35% | 23% | 7% | 1% | - |
25 | VALENTON Timothy | 2% | 13% | 37% | 37% | 10% | 1% | |
26 | GUO Justin | - | - | 2% | 9% | 27% | 39% | 23% |
27 | TSAI William | 19% | 40% | 30% | 10% | 1% | - | - |
28 | ZHUANG Chuanxuan | 3% | 18% | 35% | 31% | 12% | 2% | - |
29 | BOOTSMA Shane-Anson | 3% | 15% | 32% | 33% | 15% | 2% | |
30 | GALLUCCI Charles John | - | 5% | 21% | 39% | 28% | 7% | |
31 | WU Michael | 10% | 36% | 37% | 15% | 3% | - | |
32 | KITAGAWA Eric S. | 10% | 30% | 35% | 20% | 5% | - | |
33 | AMRANI David | 1% | 12% | 30% | 33% | 19% | 5% | 1% |
34 | PITERBARG Maxim | 7% | 25% | 36% | 24% | 7% | 1% | |
35 | SYOMICHEV Gleb A. | - | - | 3% | 14% | 32% | 36% | 14% |
36 | SHAO Eric | - | 3% | 17% | 35% | 31% | 12% | 2% |
37 | ZHOU Leon | - | 2% | 14% | 33% | 33% | 15% | 2% |
38 | MONTALBINE Aidan | 2% | 24% | 40% | 26% | 7% | 1% | |
39 | KOVACS Wyatt | 4% | 24% | 40% | 25% | 6% | 1% | |
40 | REZA Farazi | 1% | 8% | 25% | 34% | 23% | 8% | 1% |
41 | PLASTARAS Trey | - | 2% | 12% | 31% | 37% | 17% | 2% |
42 | LIGOS Alex M. | 1% | 10% | 27% | 34% | 22% | 7% | 1% |
43 | TALLARICO Matthew | 5% | 25% | 43% | 24% | 4% | - | |
43 | PAO Ryan | 1% | 10% | 34% | 37% | 16% | 2% | |
45 | SONG Noel | 1% | 10% | 27% | 34% | 21% | 6% | 1% |
46 | NICOLL William | - | 4% | 16% | 31% | 31% | 15% | 3% |
47 | JIN Dennis H. | 1% | 6% | 22% | 34% | 26% | 10% | 1% |
48 | GALLER Dave | - | 5% | 23% | 40% | 25% | 6% | 1% |
49 | NICOLL James | 2% | 15% | 33% | 33% | 14% | 3% | - |
50 | DAVIS Christopher M. | - | < 1% | 5% | 22% | 43% | 30% | |
51 | JIA Jing Yu | 30% | 45% | 22% | 4% | - | - | |
52 | VAZQUEZ Sebastian A. | 6% | 24% | 36% | 25% | 8% | 1% | |
53 | WANG Brian | 3% | 16% | 33% | 31% | 14% | 3% | - |
54 | MAGALONG William | 72% | 25% | 3% | - | - | - | - |
55 | BABKINE-OSTERRATH Alexandre | - | 5% | 22% | 36% | 27% | 9% | 1% |
56 | RUSSO Frank | 5% | 44% | 37% | 12% | 2% | - | - |
57 | ARANA Massimo | 1% | 7% | 22% | 34% | 26% | 9% | 1% |
58 | SATTAR Dylan | 23% | 40% | 27% | 9% | 2% | - | - |
59 | MENG Xiang | 14% | 39% | 34% | 11% | 2% | - | - |
60 | MURPHY Damian J. | 20% | 44% | 28% | 6% | - | - | |
61 | WUN Jonathan | 42% | 42% | 14% | 2% | - | - | |
62 | HIGGASON Hugh | 38% | 41% | 17% | 4% | - | - | - |
62 | TANG xianchi | 7% | 29% | 40% | 21% | 3% | - | - |
64 | SORSAIA John | 72% | 25% | 3% | - | - | - | |
65 | MURDOCH Walter | 51% | 37% | 11% | 2% | - | - | - |
66 | GREENLEAF Paul | 30% | 42% | 22% | 5% | 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.