NYA Sports and Fitness Center - Newtown, CT, 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 | TANG Albert | - | - | - | - | 1% | 18% | 81% |
2 | CHEN Ethan | - | - | - | 5% | 24% | 45% | 25% |
3 | XU Ethan | - | - | - | 4% | 22% | 45% | 29% |
3 | MARTIN Darius | - | - | - | 3% | 20% | 46% | 31% |
5 | GHEDINI Luca | - | - | - | 3% | 16% | 43% | 39% |
6 | JURMAN Therin | - | 1% | 7% | 25% | 42% | 25% | |
7 | SURESH Rohan | - | - | 2% | 13% | 37% | 36% | 11% |
8 | JIMENEZ Naveen | - | - | 2% | 11% | 35% | 39% | 13% |
9 | FENG Michael | - | - | - | - | 3% | 24% | 73% |
10 | CHEN Hanson | - | - | - | 4% | 27% | 69% | |
11 | MATTOS Luis Felipe | - | - | 3% | 17% | 41% | 35% | 3% |
12 | CHENG Logan | - | - | 2% | 13% | 34% | 38% | 13% |
13 | YANG Dylan | - | 2% | 13% | 34% | 38% | 12% | |
14 | CHO Xzander | - | 1% | 12% | 35% | 38% | 13% | |
15 | WONG Jacob W. | - | 2% | 17% | 38% | 32% | 10% | 1% |
16 | TOOMRE Kai | - | 3% | 24% | 42% | 26% | 5% | |
17 | TANG Terry | - | - | 5% | 24% | 44% | 27% | |
17 | KAPOOR Aayan | - | - | 3% | 16% | 42% | 39% | |
19 | STAFFORD Gareth | 1% | 9% | 29% | 37% | 20% | 4% | |
20 | ZENG Rick | - | - | 4% | 20% | 43% | 33% | |
21 | MARTIN Mason | - | 4% | 25% | 41% | 25% | 5% | |
22 | PECK Quinn | - | 3% | 19% | 41% | 32% | 5% | |
23 | NABASSOUA Djibril | 2% | 16% | 38% | 33% | 10% | 1% | |
24 | CHA James | 2% | 23% | 41% | 27% | 7% | 1% | |
25 | LAO Kevin | - | 3% | 18% | 38% | 32% | 9% | |
26 | TIBBETTS Justin | 1% | 12% | 34% | 37% | 14% | 1% | |
27 | XU Nathan | - | 6% | 24% | 38% | 25% | 7% | 1% |
28 | HOU Gaven | - | 2% | 16% | 38% | 33% | 10% | 1% |
29 | CHEN kenneth | 1% | 9% | 29% | 38% | 19% | 3% | - |
30 | CHUN Zachary | 7% | 32% | 39% | 18% | 3% | - | - |
31 | KROLEWSKI Alexander | 3% | 25% | 41% | 24% | 6% | - | |
32 | ROTH Adam | 69% | 27% | 4% | - | - | - | |
33 | BRAVO ORTEGA Estéfano | - | 1% | 5% | 22% | 41% | 28% | 3% |
34 | HOLLIS Sean | - | 4% | 21% | 39% | 29% | 7% | |
35 | ZHAO Ryan | - | 1% | 10% | 30% | 39% | 18% | 1% |
36 | JIN Andy | - | 2% | 11% | 32% | 39% | 16% | 1% |
37 | BERETICH Brian | 7% | 29% | 39% | 20% | 4% | - | - |
38 | DEROSA Patrick | 5% | 46% | 37% | 11% | 1% | - | - |
39 | KIM Aiden | 2% | 23% | 40% | 27% | 8% | 1% | - |
40 | HUYNH Matthew | - | 2% | 15% | 35% | 36% | 12% | |
41 | MARTIRE Luca | 2% | 13% | 33% | 35% | 15% | 2% | |
42 | RIPA Joseph K. | 3% | 17% | 35% | 32% | 12% | 1% | |
43 | PETINO Leonardo | 11% | 33% | 36% | 17% | 3% | - | |
44 | HU Daniel | 7% | 28% | 38% | 21% | 5% | 1% | - |
45 | CHINN Callum | 1% | 9% | 27% | 38% | 21% | 4% | - |
46 | HAN Alexander | - | 2% | 13% | 33% | 35% | 15% | 2% |
47 | ONIK Ari N. | 1% | 18% | 38% | 30% | 10% | 1% | - |
48 | COUAILLIER Leo | 11% | 35% | 36% | 15% | 2% | - | - |
49 | KRZYWON Dylan | 9% | 37% | 37% | 14% | 2% | - | |
50 | DIAZ Gabriel | 13% | 35% | 34% | 15% | 3% | - | |
51 | YOUM Tyson | 46% | 40% | 12% | 2% | - | - | |
52 | YEVDAYEV Tamir | 10% | 32% | 36% | 18% | 4% | - | |
53 | WANG Luke | 9% | 35% | 37% | 16% | 3% | - | |
54 | CHUN Alexander | 82% | 17% | 1% | - | - | - | |
55 | QUAN Noah | 29% | 42% | 23% | 6% | 1% | - | - |
56 | GRUNENWALD Henri | 5% | 25% | 40% | 24% | 6% | 1% | - |
57 | BERNARD Jonathan | 8% | 31% | 39% | 19% | 4% | - | - |
58 | YANG David H. | 26% | 43% | 25% | 6% | 1% | - | - |
59 | SFINTESCU Alex | - | 11% | 36% | 36% | 14% | 2% | - |
60 | LI Benjamin | 40% | 41% | 16% | 3% | - | - | - |
61 | JABLOKOV Roman | 47% | 40% | 11% | 1% | - | - | |
62 | WANG Ancen | 2% | 14% | 35% | 35% | 13% | 2% | - |
63 | LEVIN Jack | 9% | 59% | 27% | 5% | - | - | |
64 | SEO Juwan | 75% | 23% | 2% | - | - | - | - |
65 | SINGH Angad | 81% | 18% | 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.