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 | WU Wallace | - | - | - | 1% | 6% | 31% | 62% |
2 | XIAN kevin | - | - | - | 2% | 26% | 72% | |
3 | TANG Royce | - | - | - | 1% | 10% | 39% | 50% |
3 | HUYNH Matthew | - | - | 1% | 6% | 21% | 41% | 31% |
5 | CHANG Parker | - | - | - | 2% | 13% | 40% | 45% |
6 | GRIGORIEV Michael | - | - | - | 3% | 17% | 41% | 38% |
7 | WANG Mendy | - | 1% | 7% | 25% | 42% | 25% | |
8 | CHOI Hunter | - | 1% | 9% | 29% | 37% | 20% | 4% |
9 | ZHAI Alex | - | - | 1% | 7% | 27% | 42% | 23% |
10 | CAO Joshua | - | 4% | 17% | 32% | 30% | 13% | 2% |
11 | SHOU Raymond | - | 1% | 9% | 26% | 36% | 23% | 5% |
12 | ULYSSE Jacob | - | 5% | 19% | 33% | 29% | 12% | 2% |
13 | HAN Jiaren | - | 3% | 12% | 28% | 33% | 20% | 4% |
14 | CZARNECKI Thomas | - | - | 3% | 18% | 43% | 35% | |
15 | KINGSLEY Griffin | - | 1% | 8% | 32% | 49% | 10% | |
16 | CHAE Emmett | 2% | 10% | 26% | 33% | 21% | 7% | 1% |
17 | REN Ryan | - | - | 1% | 8% | 29% | 45% | 16% |
18 | SHAW Eric | - | 2% | 10% | 26% | 34% | 22% | 5% |
19 | SONG Enoch | - | 3% | 14% | 31% | 34% | 16% | 2% |
20 | KIM Daniel | - | 5% | 22% | 40% | 27% | 6% | |
21 | XIE Jayden | - | 2% | 13% | 33% | 37% | 14% | |
22 | LI Jayden | - | 3% | 15% | 37% | 35% | 10% | |
23 | WANG Ancen | - | - | 2% | 13% | 34% | 37% | 13% |
24 | TIAN Dylan | 7% | 25% | 36% | 24% | 7% | 1% | - |
25 | ZHANG Eric | 3% | 19% | 40% | 31% | 7% | - | |
26 | XIA Vincent | 1% | 5% | 19% | 34% | 30% | 11% | 1% |
27 | VENAFRO Tristan | - | - | 3% | 14% | 31% | 35% | 15% |
28 | WANG Joshua | 10% | 31% | 35% | 19% | 5% | 1% | - |
29 | HU Michael | - | 5% | 20% | 34% | 28% | 11% | 1% |
30 | CONVERSO-PARSONS Alexander | 1% | 9% | 27% | 35% | 21% | 6% | - |
31 | BRADY David | 11% | 33% | 35% | 17% | 4% | - | |
32 | CHONG Cooper | 7% | 26% | 36% | 23% | 7% | 1% | - |
33 | GUGALA Frank | - | 1% | 6% | 22% | 37% | 28% | 6% |
34 | WU David | 17% | 36% | 31% | 13% | 3% | - | - |
35 | WANG Grant | 4% | 19% | 34% | 29% | 12% | 2% | - |
36 | LECH Landon | 3% | 15% | 31% | 31% | 16% | 4% | - |
37 | AMR HOSSNY Adam | 1% | 8% | 26% | 35% | 23% | 7% | 1% |
38 | IM Andrew | 10% | 34% | 37% | 16% | 3% | - | - |
39 | WU Max | 1% | 6% | 20% | 35% | 28% | 10% | 1% |
40 | LEE Kyle | 5% | 24% | 39% | 25% | 6% | 1% | |
41 | WU Alexander | 10% | 31% | 36% | 18% | 4% | - | |
42 | ROTH Gavin | 3% | 16% | 33% | 32% | 14% | 2% | - |
43 | GENG Vincent | 11% | 34% | 36% | 16% | 3% | - | - |
44 | YANG Luca | 1% | 7% | 23% | 35% | 26% | 8% | 1% |
45 | ZHONG Kingsley | 1% | 10% | 27% | 34% | 21% | 6% | 1% |
46 | HUANG Dalynn | - | 5% | 18% | 33% | 29% | 13% | 2% |
46 | ROPER Griffin | 5% | 23% | 35% | 25% | 9% | 2% | - |
48 | KEEGAN Cole | 1% | 10% | 28% | 34% | 20% | 5% | - |
49 | TIAN Andy | 12% | 33% | 35% | 16% | 3% | - | |
50 | DAVE Neil | 40% | 43% | 15% | 2% | - | - | |
51 | LIN Ziyue | 2% | 13% | 32% | 34% | 16% | 2% | |
52 | SALERNO A.J. | 4% | 24% | 42% | 26% | 4% | - | |
53 | YEUNG rex | 10% | 35% | 38% | 15% | 2% | - | |
54 | CHEN Keegan | 20% | 42% | 29% | 8% | 1% | - | |
55 | ZHENG Vincent | - | 2% | 12% | 31% | 35% | 17% | 3% |
56 | SUN Andrew | 47% | 38% | 12% | 2% | - | - | - |
57 | GOLDSTEIN Tate | 3% | 15% | 32% | 32% | 15% | 2% | - |
58 | HUYNH Kaleb | 3% | 18% | 35% | 30% | 12% | 2% | - |
59 | LIU Brady | 12% | 32% | 34% | 17% | 4% | - | - |
60 | ARNOULD Frederick | 5% | 22% | 35% | 26% | 9% | 1% | - |
61 | LU Ethan | 6% | 23% | 35% | 25% | 9% | 1% | - |
62 | DAVIDSON Henry | 29% | 41% | 23% | 7% | 1% | - | - |
62 | FOMIN Dash | 6% | 23% | 34% | 25% | 10% | 2% | - |
64 | XU Nicholas | 25% | 41% | 26% | 8% | 1% | - | - |
65 | VAN DER HARTEN Lukas | 7% | 25% | 36% | 24% | 7% | 1% | - |
66 | BETHELMY Daniel | 24% | 43% | 26% | 6% | 1% | - | |
67 | CERVANTES Luke | 30% | 44% | 22% | 4% | - | - | - |
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.