Rockland Community College - Suffern, 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 | 6 | ||
1 | XIAN kevin | - | - | - | 1% | 8% | 34% | 57% |
2 | WU Wallace | - | - | - | 1% | 7% | 33% | 59% |
3 | ZHAI Derrick | - | - | - | 1% | 9% | 37% | 53% |
3 | VENAFRO Tristan | - | - | - | 2% | 15% | 44% | 38% |
5 | FAN Ze Lin | - | - | - | - | 3% | 25% | 72% |
6 | PAN Howard Haoran | - | 1% | 6% | 26% | 43% | 24% | |
7 | WANG Mendy | - | - | - | 2% | 15% | 42% | 41% |
8 | CHANG Parker | - | - | 2% | 10% | 27% | 39% | 22% |
9 | ZHAI Alex | - | - | 1% | 6% | 24% | 43% | 27% |
10 | GUGALA Frank | - | 1% | 8% | 29% | 45% | 17% | |
11 | SHOU Raymond | - | - | 1% | 6% | 26% | 46% | 21% |
12 | QIAN Will | - | - | 4% | 19% | 41% | 31% | 5% |
13 | HUANG Dalynn | - | 2% | 13% | 35% | 37% | 13% | |
14 | CAO Joshua | - | - | 4% | 21% | 40% | 29% | 6% |
15 | LIU Gene | - | 2% | 11% | 31% | 35% | 18% | 3% |
16 | AMR HOSSNY Adam | - | 3% | 14% | 32% | 34% | 15% | 2% |
17 | SONG Enoch | 1% | 6% | 19% | 32% | 28% | 12% | 2% |
18 | HAN Jiaren | - | - | 3% | 19% | 41% | 31% | 6% |
19 | ZHAO David | - | 4% | 19% | 35% | 30% | 11% | 1% |
20 | CAO Jeremy | - | 3% | 13% | 29% | 32% | 18% | 4% |
21 | SIU Max | - | - | 1% | 11% | 41% | 47% | |
22 | HU Michael | 2% | 13% | 30% | 32% | 18% | 4% | - |
23 | SHEN Lucas | 1% | 6% | 22% | 36% | 27% | 8% | 1% |
24 | LIN Ziyue | - | - | 3% | 16% | 35% | 34% | 11% |
25 | ROPER Griffin | 1% | 9% | 27% | 36% | 22% | 5% | - |
26 | YANG Luca | 2% | 11% | 27% | 33% | 21% | 6% | - |
27 | ZHONG Kingsley | - | 4% | 24% | 40% | 26% | 6% | |
28 | ZHANG Aaron | - | - | 5% | 20% | 40% | 31% | 4% |
29 | MONDESIR Chace | 2% | 14% | 33% | 33% | 15% | 3% | - |
30 | WU David | 3% | 21% | 42% | 26% | 6% | 1% | - |
31 | FANG Lionel | 1% | 6% | 22% | 37% | 27% | 7% | 1% |
32 | WU Max | - | 6% | 28% | 40% | 22% | 4% | |
33 | XIA Vincent | - | 5% | 20% | 36% | 29% | 9% | 1% |
34 | SHINDE Aksh | 6% | 26% | 38% | 24% | 7% | 1% | - |
35 | LU Ethan | 5% | 25% | 39% | 25% | 6% | - | |
36 | SU Aiden | - | 1% | 7% | 26% | 39% | 23% | 4% |
37 | CAO Aaron | - | 1% | 8% | 30% | 38% | 19% | 3% |
38 | CHONG Cooper | 21% | 42% | 28% | 8% | 1% | - | - |
39 | WU Connor | 5% | 29% | 43% | 20% | 4% | - | - |
40 | BETHELMY Daniel | 4% | 22% | 40% | 28% | 6% | - | |
41 | MACK Julian | 13% | 35% | 34% | 15% | 3% | - | - |
42 | PARK Joshua | - | 1% | 10% | 28% | 37% | 21% | 3% |
43 | CASCONE Raffaele | - | 3% | 14% | 30% | 34% | 17% | 2% |
44 | SPEZAKIS Achilles | 2% | 14% | 30% | 32% | 17% | 4% | - |
45 | ZUO Yizhi | 8% | 26% | 34% | 23% | 8% | 1% | - |
46 | CHEUNG Jayden | 10% | 29% | 34% | 20% | 7% | 1% | - |
47 | GOLDSTEIN Tate | - | 4% | 21% | 41% | 27% | 7% | - |
48 | CHAE Emmett | 1% | 7% | 22% | 33% | 26% | 10% | 1% |
49 | SIN TaeHwan | 18% | 42% | 30% | 9% | 1% | - | - |
50 | JIANG Ethan | 31% | 47% | 19% | 3% | - | - | |
51 | YANG Crescent | 10% | 35% | 37% | 16% | 2% | - | |
52 | HUYNH Kaleb | 6% | 22% | 34% | 26% | 10% | 2% | - |
53 | TARDIFF Owen | 1% | 11% | 30% | 35% | 18% | 4% | - |
54 | FANG Ryan | 7% | 28% | 39% | 21% | 5% | 1% | - |
55 | DAVE Neil | 13% | 44% | 33% | 9% | 1% | - | - |
56 | LEE Ryan | 21% | 41% | 28% | 8% | 1% | - | - |
57 | WANG Grant | 8% | 27% | 35% | 22% | 7% | 1% | - |
58 | POLEBOYINA Aarav | 51% | 39% | 9% | 1% | - | - | - |
59 | CHEN Keegan | 4% | 21% | 36% | 28% | 9% | 1% | - |
60 | CUI Hanwen | 20% | 40% | 29% | 10% | 2% | - | - |
61 | KIM Marcus | 5% | 21% | 33% | 27% | 11% | 2% | - |
62 | GENG Vincent | 11% | 39% | 36% | 12% | 2% | - | - |
63 | LEE Joseph | 25% | 42% | 26% | 7% | 1% | - | |
64 | BHOSREKAR Som | 36% | 48% | 15% | 2% | - | - | |
65 | SALERNO A.J. | 1% | 10% | 29% | 35% | 20% | 5% | - |
66 | LI Allen | 19% | 39% | 30% | 11% | 2% | - | - |
66 | DUDDA Kavin | 52% | 38% | 9% | 1% | - | - | - |
68 | NAYAK Saideep | 42% | 41% | 15% | 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.