Pasadena Convention Center - Main Ballroom - Pasadena, CA, 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 | LI Howard | - | - | - | - | 1% | 15% | 85% |
2 | SANCHEZ Jacob | - | - | 2% | 17% | 48% | 33% | |
3 | HWANG Hagan | - | - | - | 1% | 12% | 43% | 44% |
3 | BRIMMER Robert (Trey) | - | - | 1% | 7% | 31% | 50% | 11% |
5 | TANI Tino | - | - | - | - | 3% | 25% | 72% |
6 | KROON Landon | - | 6% | 26% | 41% | 23% | 4% | |
7 | XIAO Brayden | - | 1% | 7% | 29% | 42% | 21% | |
8 | GU Andrew | - | 1% | 8% | 27% | 42% | 21% | |
9 | GREENSTEIN Viktor | - | - | - | 1% | 10% | 37% | 51% |
10 | IM Tyler | - | - | 1% | 5% | 25% | 48% | 21% |
11 | ZHANG KAIQI | - | 1% | 6% | 25% | 43% | 25% | |
12 | WANG Edward | 1% | 9% | 29% | 38% | 20% | 4% | |
13 | HAO Johnny | - | 1% | 12% | 35% | 38% | 14% | |
14 | HO Alden | - | - | 4% | 18% | 37% | 31% | 8% |
15 | ARISTOV Ilya | - | - | 2% | 20% | 48% | 30% | |
16 | LIU Baichen (Matthew) | 3% | 19% | 37% | 29% | 10% | 1% | - |
17 | KOZLOFF Wyatt | - | - | 1% | 5% | 22% | 42% | 30% |
18 | QI Jeremy | - | 1% | 7% | 26% | 40% | 24% | 2% |
19 | LI Ryan | - | 3% | 14% | 32% | 34% | 15% | 2% |
20 | LIN Ethan | 5% | 21% | 34% | 27% | 10% | 2% | - |
21 | FISCHER Noel | - | 3% | 16% | 38% | 34% | 9% | - |
22 | LIU Ryan | 6% | 25% | 37% | 24% | 7% | 1% | - |
23 | OU Rigel | - | 2% | 15% | 47% | 30% | 5% | |
24 | TENG Lucas | 6% | 24% | 37% | 26% | 7% | 1% | |
25 | KIM Suin | - | 2% | 14% | 35% | 35% | 13% | 1% |
26 | LEE Winston | - | 4% | 19% | 36% | 31% | 9% | 1% |
27 | WU Dawei | - | 2% | 13% | 34% | 36% | 14% | 1% |
28 | GUO Jonathan | 1% | 14% | 37% | 33% | 12% | 2% | - |
29 | LEE Nathan Uju | - | - | 1% | 10% | 37% | 47% | 5% |
30 | LVOVSKIY Roman | 9% | 28% | 35% | 21% | 6% | 1% | - |
31 | VO Blake | 2% | 16% | 39% | 32% | 10% | 1% | |
32 | FUGATE Logan | 2% | 12% | 31% | 36% | 17% | 3% | - |
33 | WANG David | - | 1% | 6% | 21% | 37% | 28% | 7% |
34 | CHOI LIAM | - | 5% | 23% | 40% | 27% | 5% | - |
35 | YPHANTIDES Alexander | - | 2% | 16% | 37% | 34% | 10% | |
36 | DOOLEY Atticus | - | 1% | 9% | 28% | 40% | 22% | |
37 | LEE Alexander | 28% | 48% | 21% | 2% | - | - | |
38 | CHEN Aaron | 1% | 8% | 27% | 35% | 22% | 6% | - |
39 | GUO Youwei | - | 2% | 13% | 31% | 35% | 16% | 2% |
39 | KIM Junseong | - | 4% | 17% | 34% | 31% | 12% | 1% |
41 | LIANG Preston | 1% | 7% | 24% | 36% | 25% | 8% | 1% |
42 | SUN Eon | 45% | 43% | 11% | 1% | - | - | |
43 | LEE Bill King | 15% | 37% | 33% | 13% | 2% | - | |
44 | CHIANG Tyson | 2% | 14% | 32% | 34% | 15% | 3% | - |
45 | CHEUNG Evan | 12% | 38% | 36% | 12% | 2% | - | - |
46 | GATTO EnzoPax | 2% | 19% | 36% | 29% | 11% | 2% | - |
47 | GONZALEZ Paul | 28% | 44% | 23% | 5% | - | - | - |
48 | NGUYEN Ethan | 8% | 27% | 35% | 22% | 7% | 1% | - |
49 | CHAN Troy | 10% | 34% | 36% | 16% | 3% | - | - |
50 | KANG Leo | 20% | 40% | 29% | 10% | 2% | - | - |
51 | DING Orlando | 43% | 42% | 14% | 2% | - | - | |
52 | CHOW Tyson J. | 1% | 11% | 36% | 36% | 14% | 2% | |
53 | SLOAN Ethan | 8% | 29% | 37% | 21% | 5% | - | |
54 | WANG Xuren | 31% | 47% | 20% | 2% | - | - | |
55 | QI Zach | 2% | 15% | 33% | 33% | 14% | 3% | - |
56 | NICOLL Andrew | - | 1% | 5% | 19% | 34% | 30% | 10% |
57 | LEE Matthew | 29% | 42% | 23% | 6% | 1% | - | - |
58 | WARD Carter | 8% | 28% | 36% | 21% | 6% | 1% | - |
58 | HSIEH Maxwell | 14% | 43% | 32% | 9% | 1% | - | - |
60 | HAN Kyle | 7% | 34% | 44% | 13% | 1% | - | |
61 | EKAMBARAM Rithik | 7% | 27% | 37% | 23% | 6% | - | |
62 | ROBERTSON Beaudry | 8% | 30% | 37% | 19% | 4% | - | - |
63 | JASPERSON Nolan | 22% | 48% | 25% | 5% | - | - | |
64 | SINGH Swaran | 58% | 33% | 7% | 1% | - | - | - |
65 | BAKHCHINYAN Brian | 2% | 16% | 35% | 32% | 13% | 2% | |
66 | STERN Kazuki | 50% | 39% | 9% | 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.