Main Hall Dallas Market Center - Dallas, TX, 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 | ZHAO Nathan | - | - | - | - | 3% | 24% | 72% |
2 | LIU Alex | - | - | 1% | 13% | 43% | 43% | |
3 | HUYNH Matthew | - | - | - | 2% | 13% | 41% | 44% |
3 | PARK Andrew | - | - | - | 1% | 7% | 33% | 60% |
5 | LIM EUNSEONG | - | - | - | - | 3% | 24% | 74% |
6 | ZHAI Alex | - | - | - | 3% | 17% | 45% | 35% |
7 | LYU Brandon | - | - | 6% | 28% | 47% | 19% | |
8 | PARK Avan | - | - | 4% | 18% | 39% | 34% | 5% |
9 | DESERANNO Leander | - | - | - | - | 4% | 29% | 67% |
10 | SLAIN Owen | - | 1% | 8% | 29% | 42% | 20% | |
11 | QU Zhida (richard) | - | - | 1% | 8% | 34% | 47% | 10% |
12 | SHA Laien | 1% | 11% | 35% | 37% | 13% | 2% | - |
13 | QIAN Henry | - | 1% | 8% | 24% | 36% | 25% | 5% |
14 | CHANG Parker | - | - | - | 4% | 18% | 41% | 37% |
15 | LI Ryan | - | - | 4% | 19% | 37% | 31% | 8% |
16 | CAO Joshua | - | 1% | 7% | 27% | 43% | 22% | |
17 | DANTON Ryan | - | - | 6% | 27% | 47% | 19% | |
18 | RAU Shogun | - | - | 2% | 13% | 43% | 42% | |
19 | CAO Aaron | - | 4% | 24% | 44% | 24% | 4% | |
20 | HUANG Dalynn | - | 1% | 6% | 27% | 44% | 20% | 2% |
21 | VENAFRO Tristan | - | - | 1% | 6% | 25% | 45% | 23% |
22 | JIN Yucheng | - | 1% | 8% | 24% | 37% | 26% | 4% |
23 | FOO Kingston | - | 5% | 22% | 37% | 28% | 8% | - |
24 | HUYNH Kaleb | - | 2% | 11% | 29% | 38% | 19% | 2% |
25 | SHARMA Ari | 1% | 11% | 28% | 35% | 20% | 5% | - |
26 | TAN Alan | 2% | 17% | 40% | 31% | 9% | 1% | |
27 | LU Ethan | 11% | 35% | 38% | 15% | 2% | - | |
28 | SONG Enoch | - | 1% | 7% | 24% | 40% | 24% | 4% |
29 | YANG Luca | - | 2% | 10% | 29% | 38% | 19% | 2% |
30 | LEE Ryan | 14% | 35% | 33% | 15% | 3% | - | - |
31 | MCCOOL Henry | - | 4% | 16% | 32% | 31% | 14% | 2% |
32 | LIN Alex | 19% | 41% | 30% | 9% | 1% | - | - |
33 | MENG Andy | 4% | 20% | 36% | 28% | 10% | 1% | - |
34 | JUE Lucas | 4% | 19% | 34% | 28% | 12% | 2% | - |
35 | LIU Bradley | 1% | 9% | 27% | 36% | 21% | 5% | - |
36 | MORALES Tycho | 1% | 11% | 31% | 36% | 17% | 3% | - |
37 | ZHANG William | 2% | 11% | 28% | 34% | 20% | 5% | - |
38 | CHANG Joshua | 26% | 45% | 24% | 5% | - | - | - |
39 | TSUI Kaylan Ho Sen | - | 4% | 21% | 40% | 29% | 7% | |
40 | KAJITA Grayson | 1% | 8% | 30% | 41% | 18% | 2% | |
41 | YAN Aaron | 11% | 46% | 34% | 8% | 1% | - | |
42 | WU Vincent Moxiao | 1% | 11% | 31% | 36% | 18% | 3% | - |
43 | TEOH Liam | 11% | 32% | 34% | 18% | 4% | - | - |
44 | ANEN Magnus | 1% | 12% | 32% | 35% | 17% | 3% | - |
45 | CHEN Evan | 4% | 23% | 38% | 26% | 8% | 1% | - |
46 | ROSOWSKY Phoenix | 1% | 14% | 34% | 34% | 14% | 2% | - |
47 | KAPOOR Aadi | 12% | 35% | 34% | 15% | 3% | - | - |
48 | LI Alexander | 2% | 20% | 38% | 29% | 10% | 1% | - |
49 | LI Yunze | 1% | 8% | 29% | 41% | 18% | 3% | - |
50 | TORNBERG Winston | 11% | 37% | 37% | 13% | 2% | - | |
51 | PECK Henrik | 67% | 30% | 4% | - | - | - | |
52 | SCHWERIN Albert | 29% | 47% | 21% | 4% | - | - | |
53 | MOON Nolan | 4% | 20% | 35% | 28% | 11% | 2% | - |
54 | CHUNG Royce | 4% | 24% | 38% | 25% | 7% | 1% | - |
55 | ZHANG Eric | 1% | 9% | 25% | 35% | 23% | 6% | - |
56 | LIM Derek | 6% | 27% | 41% | 22% | 4% | - | - |
57 | WANG Justin | 58% | 34% | 7% | 1% | - | - | - |
58 | DHALIWAL Zorawar Singh | 3% | 15% | 32% | 32% | 16% | 3% | - |
59 | RODIL Mathias | 24% | 40% | 26% | 8% | 1% | - | - |
60 | CANCINO Mateo | 11% | 33% | 35% | 16% | 4% | - | - |
61 | FAN Oscar | 46% | 40% | 12% | 2% | - | - | - |
62 | MUKHERJEE Krish | 28% | 46% | 22% | 4% | - | - | |
63 | MOORE Quinn | 2% | 19% | 45% | 28% | 6% | - | |
64 | WU KADEN | 22% | 44% | 27% | 6% | - | - | - |
65 | GABURA Roman | 30% | 44% | 22% | 4% | - | - | |
66 | ARRIAGA Yuma | 24% | 41% | 26% | 8% | 1% | - | - |
67 | NETESA Lukian | < 1% | 7% | 27% | 41% | 23% | 3% | - |
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.