ChimeLong Tourist Resort Area Convention/Conference Center - None
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 | YANTONG chen | - | - | 6% | 28% | 44% | 22% | |
2 | CHENG Bob | - | - | 2% | 12% | 39% | 47% | |
3 | TSE Ngon Yin Anson | - | - | 8% | 31% | 40% | 19% | 2% |
3 | XIA Yimiao | - | - | 1% | 7% | 28% | 43% | 21% |
5 | TAN Junghyun | - | - | - | 2% | 16% | 47% | 35% |
6 | YE Neilson | - | - | - | - | 2% | 22% | 76% |
7 | HE Haoxuan | - | - | 2% | 13% | 34% | 37% | 14% |
8 | MENG Fanlu | - | 3% | 18% | 37% | 31% | 10% | |
9 | ZHOU Jingxiong | - | - | - | 4% | 23% | 46% | 27% |
10 | LEE JISUNG | 10% | 33% | 37% | 17% | 3% | < 1% | |
11 | SO GERALD | 3% | 17% | 34% | 31% | 13% | 3% | - |
12 | FANG JIA YI | - | - | 1% | 11% | 44% | 44% | |
13 | LI ZONGLIN | - | 6% | 27% | 40% | 23% | 4% | |
14 | LEONG Chit Seong | - | - | 2% | 12% | 33% | 40% | 13% |
15 | HUANG Holmes (Shengheng) | - | - | 5% | 22% | 42% | 26% | 5% |
16 | ZHOU Xiaowei | 1% | 10% | 32% | 38% | 18% | 2% | |
17 | JUNYU BAO | - | - | 7% | 29% | 40% | 20% | 3% |
18 | LEE SIYUN | 1% | 9% | 35% | 47% | 9% | 1% | - |
19 | KIM Seojun | - | - | 3% | 14% | 34% | 36% | 13% |
20 | LEE seungje | - | 1% | 7% | 31% | 43% | 19% | |
21 | FU Shihshan | - | 1% | 10% | 30% | 40% | 18% | |
22 | GONG Nigel | - | 2% | 14% | 35% | 37% | 11% | 1% |
23 | NA James Eunchan | 1% | 9% | 30% | 38% | 18% | 3% | |
24 | LEE Aiden Yunhyung | - | 4% | 18% | 36% | 31% | 10% | |
25 | HA JUWON | 49% | 38% | 11% | 2% | - | - | |
26 | TSANG PADDY | 1% | 16% | 38% | 33% | 11% | 1% | |
27 | HUANG Junhang | 1% | 10% | 30% | 36% | 19% | 4% | |
28 | WAN Pak Kiu Carson | - | 2% | 10% | 27% | 35% | 22% | 5% |
29 | YOON Byungheon | - | 5% | 25% | 37% | 24% | 7% | 1% |
30 | LEE Yun | - | 2% | 20% | 44% | 29% | 4% | |
31 | KO Cheuk Yip | 3% | 17% | 38% | 32% | 10% | 1% | |
32 | SEO Juwan | 62% | 32% | 6% | - | - | - | - |
33 | HO Evan Isaiah | - | - | 1% | 10% | 38% | 46% | 5% |
34 | LAI baiheng | 1% | 7% | 24% | 37% | 26% | 7% | |
35 | MANKOWSKI Elliott | 1% | 9% | 35% | 43% | 11% | 1% | |
36 | HUO Aaron Yunting | - | 2% | 11% | 27% | 34% | 21% | 5% |
37 | LI Xingmo | 6% | 27% | 40% | 23% | 5% | - | - |
38 | LEONG Wilson Hua | 25% | 43% | 26% | 6% | 1% | - | - |
39 | LEE Mason Gunhyung | - | 6% | 23% | 38% | 26% | 6% | |
40 | CHEN Zourui | 1% | 8% | 30% | 39% | 20% | 3% | |
41 | PALAFOX Lucas | 1% | 12% | 33% | 36% | 15% | 1% | |
42 | GUAN Greg | - | 1% | 11% | 34% | 37% | 14% | 1% |
43 | CHONG Jun Yu Aaron | 1% | 10% | 29% | 37% | 20% | 4% | - |
44 | HAN JIAYI | - | 2% | 11% | 28% | 34% | 20% | 5% |
45 | XIA Philip | 12% | 35% | 36% | 15% | 3% | - | - |
46 | GUO Jiaxi | 1% | 10% | 30% | 37% | 18% | 3% | - |
47 | HA Varick | 3% | 16% | 32% | 31% | 15% | 3% | - |
47 | LIN Travis | 30% | 45% | 20% | 4% | - | - | - |
49 | YUE zhonghan | 4% | 34% | 44% | 16% | 2% | - | |
50 | SUSANTO William | - | 6% | 26% | 41% | 22% | 3% | |
51 | LEE Vincent | 12% | 36% | 36% | 14% | 2% | - | |
52 | ROLDAN Yohann Malik | 32% | 43% | 20% | 5% | - | - | |
52 | CHU Zai Lim Zenthus | 10% | 32% | 37% | 18% | 4% | - | |
54 | SONG HAN GYEOL | 32% | 45% | 20% | 3% | - | - | |
55 | PARK JUSTIN SEOJUN | 5% | 32% | 41% | 18% | 4% | - | - |
56 | HUANG YuCheng | 12% | 41% | 34% | 11% | 2% | - | - |
57 | SEO Juhyeok | 5% | 23% | 38% | 26% | 7% | 1% | - |
58 | GAO VICTOR | 23% | 43% | 27% | 6% | 1% | - | - |
59 | LIN Enjun | 4% | 28% | 44% | 21% | 4% | - | - |
60 | LIU George | 4% | 19% | 34% | 29% | 12% | 2% | - |
61 | WANG Yanzhi | 11% | 50% | 32% | 6% | - | - | |
62 | WANG George | 69% | 27% | 4% | - | - | - | |
62 | CHEN ERIC | 7% | 29% | 38% | 21% | 4% | - | |
64 | HU Carlos | 2% | 23% | 42% | 27% | 5% | - | - |
65 | HE Lucas | 2% | 54% | 35% | 8% | 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.