Golisano Training Center at Nazareth University - Rochester, 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 | HUA Aaron | 100% | - | - | - | - | < 1% | - |
2 | SHIN Noah | 100% | - | - | - | - | < 1% | |
3 | WANG Mendy | 100% | - | - | - | - | < 1% | - |
3 | PAN Ethan | 100% | - | - | - | - | - | < 1% |
5 | LIM EUNSEONG | 100% | - | - | - | - | < 1% | |
6 | OH Joshua | 100% | - | - | - | - | < 1% | - |
7 | LIU Aaron | 100% | - | - | - | - | < 1% | - |
8 | LIU Alex | 100% | - | - | - | - | < 1% | - |
9 | ZHAI Derrick | 100% | - | - | - | - | - | < 1% |
10 | XIAN kevin | 100% | - | - | - | - | - | < 1% |
11 | WU Wallace | 100% | - | - | - | - | - | < 1% |
12 | WEI JR Shan | 100% | - | - | - | - | - | < 1% |
13 | LATORRE Leonardo | 100% | - | - | - | - | < 1% | - |
14 | XU Nathan | 100% | - | - | - | < 1% | - | - |
14 | KIM Daniel | 100% | - | - | - | < 1% | - | - |
16 | PLUMMER Waylon | 100% | - | - | < 1% | - | - | |
17 | ZHANG Hanru | 100% | - | - | - | - | - | < 1% |
17 | XU Ryan | 100% | - | - | - | - | - | < 1% |
19 | CHOI Hunter | 100% | - | - | - | - | < 1% | - |
20 | YANG David H. | 100% | - | - | - | - | < 1% | - |
21 | KO Caleb | 100% | - | - | - | - | < 1% | - |
22 | KIAYIAS Alexander | 100% | - | - | - | - | < 1% | - |
23 | QU Richard | 100% | - | - | - | - | < 1% | - |
24 | CHANG Parker | 100% | - | - | - | - | < 1% | - |
25 | LI Jayden | 100% | - | - | - | < 1% | - | |
26 | TOOMRE Kai | 100% | - | - | - | < 1% | - | |
27 | KINGSLEY Griffin | 100% | - | - | - | < 1% | - | |
28 | TANG Royce | 100% | - | - | - | < 1% | - | - |
29 | JAZWINSKI Ryan | 100% | - | - | - | < 1% | - | - |
30 | KUBBA Krish | 100% | - | - | < 1% | - | - | - |
31 | TAN Charlie | 100% | - | - | < 1% | - | - | - |
32 | MAZAHERI John | 100% | < 1% | - | - | - | - | |
33 | DESERANNO Leander | 100% | - | - | - | - | - | < 1% |
34 | ZHENG Austin | 100% | - | - | - | - | < 1% | - |
35 | LIN Jun Hui | 100% | - | - | - | - | < 1% | - |
36 | FAN Ze Lin | 100% | - | - | - | < 1% | - | |
37 | WU Alexander | 100% | - | - | - | < 1% | - | - |
38 | HUANG Dalynn | 100% | - | - | - | < 1% | - | - |
39 | GUGALA Frank | 100% | - | - | - | < 1% | - | - |
40 | WANG Caleb | 100% | - | - | - | < 1% | - | - |
41 | WU Rayson siyu | 100% | - | - | - | < 1% | - | - |
42 | HU Michael | 100% | - | - | - | < 1% | - | - |
43 | KAYE Ben | 100% | - | - | < 1% | - | - | |
44 | LIN Lucas | 100% | - | - | < 1% | - | - | |
45 | ZHUANG Disheng (Eddie) | 100% | - | - | < 1% | - | - | - |
46 | ZHAO David | 100% | - | - | < 1% | - | - | - |
47 | NG Kai | 100% | - | - | < 1% | - | - | - |
48 | SHAW eric | 100% | - | - | < 1% | - | - | - |
48 | QIAN Zekai | 100% | - | - | < 1% | - | - | - |
50 | ROPER Griffin | 100% | - | - | < 1% | - | - | - |
51 | ZHAI Alex | 100% | - | - | < 1% | - | - | - |
52 | TIAN Andy | 100% | - | - | < 1% | - | - | - |
53 | QIAN Will | 100% | - | - | < 1% | - | - | - |
54 | LIN George | 100% | - | - | < 1% | - | - | - |
54 | ZHONG Kingsley | 100% | - | - | < 1% | - | - | - |
56 | LIN Joshua | 100% | - | - | < 1% | - | - | - |
57 | XIE Jayden | 100% | - | < 1% | - | - | - | |
58 | SONG Enoch | 100% | - | < 1% | - | - | - | - |
59 | LI Andrew | 100% | - | < 1% | - | - | - | - |
60 | LU Hansen | 100% | - | < 1% | - | - | - | - |
60 | DHALIWAL Zorawar Singh | 100% | - | < 1% | - | - | - | - |
62 | TARCHICHI Daniel | 100% | - | < 1% | - | - | - | - |
63 | JIAO Daniel | 100% | - | < 1% | - | - | - | - |
64 | ZHANG Aaron | 100% | < 1% | - | - | - | - | - |
65 | GOLI Arush | 100% | - | - | - | < 1% | - | - |
66 | CAO Joshua | 100% | - | - | < 1% | - | - | - |
67 | MCCOOL Henry | 100% | - | - | < 1% | - | - | - |
68 | MOORE Quinn | 100% | - | - | < 1% | - | - | - |
69 | WU David | 100% | - | - | < 1% | - | - | - |
70 | WANG Jaaziel | 100% | - | - | < 1% | - | - | - |
71 | LIU Bradley | 100% | - | - | < 1% | - | - | - |
71 | LIU Yilin | 100% | - | - | < 1% | - | - | - |
73 | CHEN Kyler | 100% | - | < 1% | - | - | - | |
74 | HUYNH Kaleb | 100% | - | < 1% | - | - | - | - |
75 | YANG Luca | 100% | - | < 1% | - | - | - | - |
76 | BUCHNER Roland | 100% | - | < 1% | - | - | - | - |
77 | VENAFRO Tristan | 100% | - | < 1% | - | - | - | - |
78 | CHAU Ivan | 100% | - | < 1% | - | - | - | - |
79 | AMR HOSSNY Adam | 100% | - | < 1% | - | - | - | - |
80 | LEE Ryan | 100% | - | < 1% | - | - | - | - |
81 | MAZAHERI Theodore | 100% | - | < 1% | - | - | - | - |
82 | XU Jonathan | 100% | - | < 1% | - | - | - | - |
83 | BRADFORD-WATT Ezra | 100% | - | < 1% | - | - | - | - |
83 | NG Chuck | 100% | - | < 1% | - | - | - | - |
85 | MADDES Gage | 100% | < 1% | - | - | - | - | |
86 | KIAYIAS Anthony | 100% | < 1% | - | - | - | - | |
87 | PAN Gary | 100% | < 1% | - | - | - | - | |
88 | DENG Jonathan | 100% | < 1% | - | - | - | - | |
89 | LIN John | 100% | < 1% | - | - | - | - | |
90 | KIM Yoonsoo | 100% | < 1% | - | - | - | - | - |
91 | XIA Vincent | 100% | < 1% | - | - | - | - | - |
92 | CHONG Cooper | 100% | < 1% | - | - | - | - | - |
93 | HUANG Jinyao | 100% | < 1% | - | - | - | - | - |
94 | XUAN nathan | 100% | < 1% | - | - | - | - | - |
95 | HUA Isaac | 100% | < 1% | - | - | - | - | - |
96 | PAYNE Lynas | 100% | < 1% | - | - | - | - | - |
97 | HAN Jiaren | 100% | < 1% | - | - | - | - | - |
97 | CHEN Kevin | 100% | < 1% | - | - | - | - | - |
99 | YIN Andrew | 100% | < 1% | - | - | - | - | - |
100 | XU Jason | 100% | < 1% | - | - | - | - | - |
101 | MOON Nolan | 100% | < 1% | - | - | - | - | - |
102 | DEGRYSE Leopold | 100% | < 1% | - | - | - | - | - |
103 | LI Eric | 100% | - | - | - | - | - | - |
104 | HEBERT SEBASTIEN | 100% | - | - | - | - | - | - |
105 | CORDERO Javier | 100% | - | - | - | - | - | - |
106 | LIU Mason | 100% | - | - | - | - | - | - |
106 | COLUCCI Sebastian | 100% | - | - | - | - | - | - |
108 | LEE Thomas | 100% | - | - | - | - | - | - |
109 | DOERR Alexander | 100% | - | - | - | - | - |
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.