Ontario Convention Center - Hall A&B - Ontario, 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 | LO Jake | - | - | - | - | 4% | 32% | 64% |
2 | YAO Geoffrey B. | - | - | - | 1% | 9% | 37% | 53% |
3 | GAO Chaney C. | - | 1% | 6% | 25% | 42% | 26% | |
3 | SINGHA Orion | - | - | - | - | 6% | 33% | 60% |
5 | CHIRASHNYA Daniel | - | - | - | 3% | 17% | 42% | 38% |
6 | FU Leon | - | - | - | 1% | 8% | 36% | 56% |
7 | MENDOZA Zachari | - | 1% | 6% | 21% | 35% | 28% | 8% |
8 | KIM Ian | - | - | 5% | 20% | 38% | 31% | 6% |
9 | WONG Chi Ho | - | - | - | 2% | 14% | 41% | 43% |
10 | SCHROEDER Dylan | - | - | 4% | 20% | 41% | 30% | 4% |
11 | CARRIER Gabriel A. | - | - | - | - | 4% | 28% | 68% |
12 | CHOI Zachary | - | 1% | 7% | 24% | 36% | 25% | 6% |
13 | PETERSON Matthew | - | - | 4% | 18% | 38% | 33% | 7% |
14 | LIU Yikun | - | 1% | 5% | 17% | 34% | 32% | 11% |
15 | KIM Jayden | - | 3% | 16% | 33% | 32% | 14% | 2% |
16 | SEO Shawn | - | 6% | 23% | 39% | 26% | 6% | |
17 | GALLO James | - | - | 2% | 10% | 29% | 39% | 20% |
18 | ALVAREZ Ian T. | - | - | 1% | 6% | 28% | 51% | 14% |
19 | KNUDSEN Travis | - | 3% | 13% | 31% | 33% | 17% | 3% |
20 | HE Zhiheng | - | - | 3% | 15% | 37% | 37% | 8% |
21 | MCADOO Declan | - | - | 2% | 13% | 34% | 39% | 12% |
22 | CHOI Kaiden I. | - | 1% | 6% | 21% | 35% | 29% | 9% |
23 | KIM Nathan | - | - | 1% | 11% | 41% | 46% | |
24 | ZHENG Haoran | - | - | 2% | 12% | 40% | 46% | |
25 | MODANLOU Navid | 6% | 26% | 37% | 24% | 7% | 1% | |
26 | EVERS Gabriel | - | 2% | 14% | 35% | 36% | 12% | |
27 | ERLIKHMAN Adrian | - | 2% | 13% | 32% | 35% | 15% | 2% |
28 | AGARWAL Adheesh | - | - | 5% | 22% | 42% | 27% | 3% |
29 | WANG owen | - | 1% | 7% | 22% | 35% | 27% | 8% |
30 | PAK Elliot | - | - | 5% | 19% | 37% | 31% | 8% |
31 | YUEN Nathan | 1% | 9% | 31% | 38% | 18% | 2% | |
32 | MORIN-JIANG Jake | 3% | 15% | 31% | 31% | 16% | 4% | - |
33 | KIM Sullivan | - | - | 1% | 8% | 26% | 41% | 24% |
34 | LIN Kyran | - | - | - | 1% | 8% | 35% | 57% |
35 | CHEN Zhengyang (Allen) | - | 4% | 19% | 36% | 31% | 9% | |
36 | SIM Ian | 8% | 27% | 35% | 22% | 7% | 1% | - |
37 | MULCAHY Olaf | - | 1% | 6% | 27% | 47% | 19% | |
38 | MIAO Quentin | 1% | 9% | 30% | 39% | 19% | 3% | |
39 | KIM Teddy | - | 6% | 22% | 37% | 27% | 8% | 1% |
40 | SHIRLEY Kai | - | 3% | 17% | 38% | 33% | 8% | - |
41 | LEE Inwoo | - | 5% | 22% | 37% | 27% | 8% | 1% |
42 | MCDONALD Ethan | 3% | 17% | 37% | 31% | 11% | 1% | |
43 | HIGGINS Branford | - | - | 4% | 20% | 42% | 33% | |
44 | MILEY Walker | 20% | 43% | 29% | 8% | 1% | - | |
45 | KUO Rylan | - | 5% | 21% | 36% | 28% | 9% | 1% |
46 | LEE Damien | 1% | 7% | 27% | 38% | 22% | 5% | - |
47 | TANG William | - | 3% | 16% | 35% | 34% | 12% | 1% |
48 | DONG Haiyi | 1% | 10% | 30% | 36% | 19% | 4% | - |
49 | CROSSMAN Brandon | - | 4% | 17% | 33% | 30% | 13% | 2% |
50 | JAIN Samyak | - | 2% | 14% | 34% | 35% | 13% | 1% |
51 | KIM Alexander | 1% | 9% | 29% | 37% | 20% | 4% | - |
52 | LI Yunji (Rain) | - | 4% | 19% | 36% | 30% | 10% | 1% |
53 | AVETISIAN Alexander | - | 4% | 18% | 35% | 31% | 11% | 1% |
54 | PAINTER Noah | 8% | 30% | 37% | 20% | 5% | - | - |
55 | CHARETTE Matthew | 11% | 31% | 34% | 18% | 5% | 1% | - |
56 | TAI Edison | 2% | 13% | 32% | 35% | 16% | 2% | |
57 | WONG Preston | 8% | 31% | 39% | 19% | 3% | - | |
58 | GOROZA Eric | 13% | 41% | 33% | 11% | 1% | - | |
59 | PUTTAMRAJU Nikhil | 11% | 35% | 36% | 15% | 2% | - | - |
60 | YOUNG Quentin | 16% | 41% | 31% | 10% | 1% | - | - |
61 | KIM Tristan | 46% | 41% | 11% | 1% | - | - | |
62 | PARK Sky | 33% | 43% | 19% | 4% | - | - | - |
63 | DENISON Declan | 4% | 20% | 34% | 28% | 12% | 2% | - |
64 | XU Wangzitai | 1% | 13% | 35% | 36% | 13% | 1% | - |
65 | NAEMI Barsam | 3% | 17% | 36% | 31% | 11% | 2% | - |
66 | LIU Yueri | 1% | 7% | 24% | 38% | 24% | 6% | - |
67 | YAO Derek (Shunyu) | - | - | 5% | 20% | 39% | 31% | 6% |
68 | VILLALOBOSKOWALSKI Demetrious C. | - | 2% | 12% | 30% | 34% | 18% | 3% |
69 | WU Johnny y. | 3% | 27% | 40% | 23% | 6% | 1% | - |
70 | SATISHKUMAR Pranav | 16% | 41% | 32% | 10% | 1% | - | - |
71 | WU Steven | 3% | 20% | 37% | 28% | 10% | 1% | - |
72 | PALMARES Xavier | 33% | 44% | 19% | 4% | - | - | - |
73 | DILLON Anik | 10% | 35% | 37% | 15% | 2% | - | |
74 | WONG Baron | 2% | 14% | 36% | 36% | 12% | 1% | |
75 | THOMAS Michael | 2% | 15% | 32% | 32% | 15% | 4% | - |
75 | XIE Steven | 2% | 13% | 32% | 33% | 16% | 4% | - |
77 | AHMED Mohsen | 2% | 13% | 34% | 35% | 15% | 2% | - |
78 | JU Hanul | - | 5% | 21% | 37% | 28% | 8% | 1% |
79 | CHENG Trevor | 5% | 23% | 39% | 26% | 7% | 1% | - |
80 | GUO Woody | 44% | 40% | 13% | 2% | - | - | - |
81 | GIOVAGNOLI Nolan | - | 4% | 21% | 40% | 29% | 6% | |
82 | LI zerong | 20% | 39% | 29% | 10% | 2% | - | |
83 | SHEN Jiayi | 27% | 43% | 24% | 6% | 1% | - | |
84 | MAXU Tiger | 31% | 44% | 21% | 4% | - | - | |
85 | KIM Remington | 35% | 43% | 18% | 4% | - | - | - |
86 | HIGGINS Calvin | 11% | 36% | 35% | 15% | 3% | - | - |
87 | LI Gen | 28% | 43% | 23% | 5% | 1% | - | - |
88 | LEE Royce | 5% | 25% | 38% | 24% | 7% | 1% | - |
89 | FERRIERE Joshua | - | 4% | 18% | 36% | 30% | 10% | 1% |
90 | LIN Andrew | 31% | 45% | 20% | 4% | - | - | - |
91 | SHOUSHA Yassin | 1% | 13% | 34% | 34% | 15% | 3% | - |
92 | TOYOFUKU Ethan | 2% | 14% | 35% | 35% | 13% | 2% | - |
92 | LEWIS Parker | 8% | 32% | 36% | 18% | 4% | 1% | - |
94 | WANG aaron | 31% | 43% | 21% | 5% | 1% | - | - |
95 | GADHVI Darius | 23% | 45% | 25% | 6% | 1% | - | - |
95 | FU Adrian | 35% | 43% | 18% | 3% | - | - | - |
97 | BHATT Arjun | 5% | 26% | 40% | 23% | 6% | - | - |
97 | HWANG Jayden | 45% | 40% | 13% | 2% | - | - | - |
99 | SHIN Ryan | 8% | 29% | 37% | 20% | 5% | - | |
100 | LIN Jason | 73% | 24% | 3% | - | - | - | - |
101 | RAMOS Max | 10% | 33% | 35% | 17% | 4% | - | - |
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.