Golisano Training Center at Nazareth University - Rochester, NY, USA
Explore the probability of achieving at least a certain number of victories in the pool 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 | WANG Mendy | 100% | 100% | 100% | 100% | 100% | 95% | 65% |
2 | QU Richard | 100% | 100% | 100% | 99% | 95% | 77% | 36% |
3 | ZHAI Derrick | 100% | 100% | 100% | 100% | 99% | 90% | 53% |
3 | DESERANNO Leander | 100% | 100% | 100% | 100% | 100% | 99% | 81% |
5 | XIAN kevin | 100% | 100% | 100% | 100% | 100% | 97% | 71% |
6 | HU Michael | 100% | 100% | 100% | 98% | 89% | 59% | 18% |
7 | LIM EUNSEONG | 100% | 100% | 100% | 97% | 78% | 25% | |
8 | CAO Joshua | 100% | 100% | 99% | 90% | 62% | 22% | |
9 | FAN Ze Lin | 100% | 100% | 100% | 100% | 98% | 88% | 49% |
10 | ZHONG Yi | 100% | 100% | 100% | 100% | 95% | 65% | |
11 | TAN Charlie | 100% | 100% | 100% | 100% | 99% | 91% | 58% |
12 | ZHAI Alex | 100% | 100% | 100% | 99% | 93% | 70% | 27% |
13 | GUGALA Frank | 100% | 100% | 97% | 84% | 53% | 20% | 3% |
14 | ZHONG Tian | 100% | 100% | 99% | 93% | 69% | 27% | |
15 | SONG Enoch | 100% | 96% | 77% | 40% | 10% | - | |
16 | ZHANG Eric | 100% | 88% | 54% | 18% | 2% | - | |
17 | WU Wallace | 100% | 100% | 100% | 100% | 99% | 93% | 61% |
18 | LIN Lucas | 100% | 100% | 100% | 95% | 77% | 42% | 11% |
19 | VENAFRO Tristan | 100% | 100% | 99% | 93% | 70% | 31% | 5% |
20 | ZHONG Kingsley | 100% | 100% | 99% | 89% | 64% | 29% | 6% |
21 | XIE Jayden | 100% | 100% | 99% | 95% | 79% | 43% | 9% |
21 | WANG Caleb | 100% | 100% | 100% | 97% | 82% | 50% | 15% |
23 | MAZAHERI Theodore | 100% | 99% | 93% | 72% | 36% | 8% | 1% |
24 | KIAYIAS Anthony | 100% | 99% | 90% | 62% | 25% | 4% | |
25 | ROPER Griffin | 100% | 100% | 98% | 88% | 60% | 26% | 5% |
26 | SHARMA Ari | 100% | 100% | 98% | 83% | 49% | 15% | 1% |
27 | TIAN Andy | 100% | 100% | 100% | 95% | 74% | 33% | 4% |
28 | CAO Aaron | 100% | 100% | 98% | 89% | 64% | 29% | 5% |
29 | MCCOOL Henry | 100% | 91% | 62% | 25% | 5% | - | |
30 | MAZAHERI John | 100% | 100% | 99% | 90% | 60% | 20% | 2% |
31 | CHEN Keegan | 100% | 98% | 87% | 57% | 22% | 4% | - |
32 | CHAU Ivan | 100% | 100% | 96% | 79% | 44% | 13% | 1% |
33 | ZHUANG Disheng (Eddie) | 100% | 100% | 100% | 96% | 80% | 46% | 12% |
33 | HEBERT SEBASTIEN | 100% | 100% | 95% | 75% | 40% | 11% | 1% |
35 | ZHANG Aaron | 100% | 100% | 100% | 95% | 76% | 36% | 3% |
36 | WANG Jaaziel | 100% | 100% | 95% | 74% | 37% | 8% | - |
37 | LIU Bradley | 100% | 100% | 96% | 75% | 38% | 10% | 1% |
38 | DENG Jonathan | 100% | 98% | 84% | 54% | 22% | 5% | - |
39 | LU Ethan | 100% | 99% | 84% | 50% | 18% | 3% | - |
40 | XU Jason | 100% | 99% | 94% | 74% | 41% | 12% | 1% |
41 | HAN Jiaren | 100% | 100% | 96% | 77% | 41% | 11% | 1% |
42 | YIN Andrew | 100% | 98% | 84% | 51% | 18% | 3% | - |
43 | LYU Brandon | 100% | 99% | 93% | 69% | 30% | 4% | |
44 | QIAN Will | 100% | 100% | 97% | 83% | 49% | 13% | |
45 | WU Yulen | 100% | 85% | 47% | 15% | 2% | - | |
46 | DHALIWAL Zorawar Singh | 100% | 99% | 93% | 70% | 35% | 9% | 1% |
47 | LI Andrew | 100% | 86% | 49% | 14% | 2% | - | |
48 | HUA Isaac | 100% | 96% | 77% | 43% | 14% | 3% | - |
49 | YANG Luca | 100% | 100% | 100% | 95% | 77% | 39% | 6% |
50 | CHEN Kyler | 100% | 99% | 88% | 62% | 27% | 6% | - |
51 | HUYNH Kaleb | 100% | 100% | 99% | 90% | 64% | 29% | 6% |
52 | LIN George | 100% | 100% | 94% | 70% | 31% | 6% | - |
53 | TARDIFF Owen | 100% | 99% | 91% | 66% | 30% | 7% | 1% |
54 | XIA Vincent | 100% | 97% | 79% | 44% | 13% | 2% | |
55 | LIU Mason | 100% | 99% | 89% | 59% | 23% | 4% | - |
56 | WU David | 100% | 94% | 70% | 35% | 10% | 2% | - |
57 | YANG Crescent | 100% | 87% | 54% | 21% | 4% | - | - |
58 | BUCHNER Roland | 100% | 97% | 79% | 45% | 15% | 3% | - |
59 | XU Jonathan | 100% | 99% | 87% | 56% | 22% | 4% | - |
60 | HUANG Dalynn | 100% | 96% | 75% | 37% | 8% | 1% | |
61 | DAVE Neil | 100% | 98% | 68% | 28% | 6% | 1% | - |
62 | KOSCIK-AQUINO Nicholas | 100% | 97% | 79% | 41% | 11% | 1% | - |
63 | LI Eric | 100% | 73% | 28% | 6% | 1% | - | - |
64 | YOON Mason | 100% | 98% | 87% | 58% | 24% | 6% | 1% |
65 | HE Ryan | 100% | 100% | 96% | 78% | 44% | 13% | 1% |
66 | YU Oliver | 100% | 100% | 97% | 79% | 43% | 12% | 1% |
67 | XUAN nathan | 100% | 87% | 49% | 15% | 2% | - | - |
68 | KANAN Noland | 100% | 100% | 97% | 80% | 45% | 13% | 1% |
69 | KIM JOSHUA | 100% | 79% | 36% | 8% | 1% | - | - |
70 | CHONG Cooper | 100% | 93% | 68% | 33% | 9% | 1% | - |
71 | AMR HOSSNY Adam | 100% | 92% | 63% | 25% | 4% | - | |
72 | JIAO Daniel | 100% | 100% | 98% | 86% | 54% | 18% | 2% |
73 | MADDES Gage | 100% | 100% | 95% | 75% | 40% | 12% | 1% |
74 | JAZWINSKI Archer | 100% | 73% | 28% | 5% | - | - | - |
75 | GENG Vincent | 100% | 96% | 79% | 45% | 15% | 2% | - |
76 | LI Ethan | 100% | 71% | 29% | 7% | 1% | - | - |
77 | ZHAO David | 100% | 92% | 65% | 28% | 6% | - | |
78 | NG Chuck | 100% | 76% | 34% | 8% | 1% | - | |
79 | FAN Oscar | 100% | 69% | 26% | 5% | - | - | - |
80 | MOON Nolan | 100% | 99% | 87% | 54% | 19% | 3% | - |
81 | MOSAMEH Faraj | 100% | 93% | 63% | 27% | 6% | 1% | - |
82 | GUTKOVSKIY Ryan | 100% | 85% | 50% | 18% | 4% | - | - |
83 | LEE Ryan | 100% | 88% | 53% | 19% | 3% | - | - |
84 | PAGNIELLO Francesco | 100% | 67% | 22% | 4% | - | - | - |
85 | SAVIR Ethan | 100% | 98% | 86% | 56% | 21% | 4% | - |
87 | MOORE Quinn | 100% | 97% | 82% | 49% | 18% | 3% | - |
88 | NG Harry | 100% | 73% | 31% | 7% | 1% | - | - |
88 | LEE Thomas | 100% | 70% | 26% | 5% | - | - | - |
90 | KIM ISAAC | 100% | 68% | 27% | 6% | 1% | - | - |
91 | MENZEL Lucas | 100% | 97% | 82% | 51% | 19% | 4% | - |
92 | SHAW Roman | 100% | 36% | 6% | 1% | - | - | - |
93 | PARK Joshua | 100% | 84% | 46% | 14% | 2% | - | |
94 | YU Adam | 100% | 99% | 88% | 57% | 21% | 3% | - |
95 | FENG Ruoting | 100% | 79% | 36% | 9% | 1% | - | - |
96 | PAN William | 100% | 13% | 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.