Santa Clara Convention Center - Santa Clara, 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 | CARRIER Gabriel A. | - | - | - | 1% | 11% | 42% | 46% |
2 | KIM Benjamin I. | - | - | - | 2% | 22% | 76% | |
3 | ANDERSON Kai | 6% | 27% | 41% | 22% | 4% | - | - |
3 | LIU Yikun | - | - | 5% | 20% | 38% | 30% | 7% |
5 | LIU Andrew | - | - | 1% | 9% | 32% | 42% | 16% |
6 | ZHENG Haoran | - | - | - | 2% | 12% | 40% | 47% |
7 | CHIRASHNYA Adam | - | - | 1% | 6% | 23% | 42% | 28% |
8 | GIOVAGNOLI Nolan | - | - | 4% | 18% | 36% | 32% | 10% |
9 | MCADOO Declan | - | - | 3% | 15% | 36% | 35% | 11% |
10 | PAK Elliot | - | 1% | 7% | 27% | 43% | 23% | |
11 | CHIRASHNYA Daniel | - | - | 1% | 6% | 23% | 41% | 29% |
12 | YAO Geoffrey B. | - | - | - | 2% | 15% | 41% | 41% |
13 | GALLO James | - | - | - | 4% | 18% | 41% | 36% |
14 | OBERDERFER Vladimir | - | 3% | 15% | 31% | 32% | 15% | 2% |
15 | NG Biwon | 2% | 14% | 37% | 35% | 11% | 1% | - |
16 | SHIRLEY Kai | - | 5% | 20% | 37% | 28% | 9% | 1% |
17 | KIM Jayden | - | 1% | 7% | 24% | 38% | 26% | 5% |
18 | LI Yunji (Rain) | 1% | 6% | 22% | 35% | 26% | 9% | 1% |
19 | MCALISTER Ian | - | - | - | 4% | 19% | 42% | 35% |
20 | TONG Samuel | 2% | 14% | 33% | 33% | 15% | 3% | - |
21 | JAIN Samyak | 1% | 10% | 28% | 35% | 21% | 6% | 1% |
22 | KNUDSEN Travis | - | 1% | 10% | 29% | 37% | 19% | 3% |
23 | ZAYDMAN David M. | - | - | 1% | 7% | 33% | 44% | 15% |
24 | RICHARD silas | - | - | 5% | 23% | 41% | 26% | 5% |
25 | JU Hanul | - | 3% | 16% | 34% | 32% | 13% | 2% |
26 | ERLIKHMAN Adrian | - | 3% | 15% | 31% | 32% | 16% | 3% |
27 | DAO Alexander | - | 1% | 6% | 21% | 36% | 28% | 8% |
28 | SEO Shawn | - | 1% | 5% | 20% | 37% | 30% | 7% |
29 | LEVENTAL Mark | 1% | 9% | 26% | 34% | 22% | 7% | 1% |
29 | KIM Ian | - | - | 4% | 19% | 38% | 31% | 8% |
31 | MULCAHY Olaf | - | - | 3% | 17% | 43% | 31% | 6% |
32 | SHEN Jiayi | 9% | 32% | 37% | 18% | 4% | - | - |
33 | WONG KEVIN | - | - | - | 5% | 22% | 43% | 30% |
34 | LEE Bryson | - | 5% | 22% | 37% | 26% | 8% | 1% |
35 | LI Patrick | - | - | - | 2% | 13% | 40% | 44% |
36 | CASTELLY Luke | - | - | 4% | 18% | 37% | 32% | 8% |
37 | STRAUSS Luke | - | - | - | 3% | 15% | 41% | 41% |
38 | KIM Dylan J. | - | - | - | 2% | 14% | 41% | 43% |
39 | DANIELS Jonah | - | 2% | 14% | 33% | 34% | 15% | 2% |
40 | KUO Rylan | - | 3% | 15% | 32% | 33% | 15% | 2% |
41 | CHOI Zachary | - | 1% | 10% | 31% | 40% | 17% | |
42 | LI zerong | 4% | 21% | 39% | 29% | 7% | - | |
43 | KIM Sullivan | - | - | - | 3% | 18% | 44% | 34% |
44 | YUEN Nathan | - | 2% | 12% | 30% | 35% | 17% | 3% |
45 | SARKAR agniv | - | - | 1% | 7% | 25% | 41% | 26% |
46 | TAI Edison | - | 4% | 17% | 35% | 31% | 12% | 1% |
47 | YU Austin | - | 1% | 7% | 24% | 38% | 25% | 5% |
48 | VILLALOBOSKOWALSKI Demetrious C. | - | 2% | 9% | 26% | 36% | 22% | 4% |
49 | MING Nathan | - | 1% | 10% | 35% | 46% | 8% | |
50 | GU Aidan | 1% | 8% | 25% | 36% | 23% | 7% | 1% |
51 | ROBINSON Samuel | 4% | 19% | 34% | 29% | 12% | 2% | - |
52 | GENCHEV Madav | 5% | 23% | 37% | 25% | 8% | 1% | - |
53 | ZHUANG William | 1% | 7% | 24% | 36% | 24% | 7% | 1% |
54 | CHANG Andrew | 11% | 33% | 35% | 17% | 4% | - | - |
55 | DONG Haiyi | - | 10% | 33% | 38% | 16% | 3% | - |
56 | STAFFORD Bryan | 2% | 20% | 37% | 28% | 10% | 2% | - |
57 | WONG Baron | 3% | 20% | 38% | 28% | 9% | 1% | - |
58 | DODDAPANENI Aarav | 3% | 20% | 38% | 28% | 9% | 1% | - |
59 | MORIN-JIANG Jake | 2% | 16% | 36% | 32% | 12% | 2% | |
60 | TIEN Jabin | - | 1% | 6% | 22% | 37% | 28% | 7% |
61 | CHOI Kaiden I. | - | - | 3% | 16% | 37% | 34% | 9% |
62 | NOFZIGER Bennett | 1% | 15% | 38% | 33% | 11% | 1% | - |
63 | MILEY Walker | 8% | 28% | 35% | 21% | 6% | 1% | - |
64 | CHAUDHURI Kabir | 56% | 35% | 8% | 1% | - | - | - |
65 | LAURIMAA Emil | 1% | 9% | 29% | 38% | 20% | 3% | |
66 | CHAKRAVARTHY Arjun | 7% | 27% | 38% | 22% | 6% | 1% | - |
67 | HARGROVE Kai | 1% | 8% | 26% | 35% | 23% | 7% | 1% |
68 | SINHA Zaan | - | 3% | 14% | 31% | 33% | 16% | 3% |
69 | LEE Damien | 1% | 13% | 32% | 34% | 16% | 4% | - |
70 | SIM Ian | 12% | 35% | 36% | 15% | 2% | - | |
71 | LI Ethan R. | 2% | 11% | 29% | 34% | 19% | 5% | - |
72 | HIGGINS Calvin | 4% | 33% | 41% | 18% | 3% | - | - |
73 | LOMIO Nicholas A. | 3% | 17% | 35% | 31% | 12% | 2% | - |
74 | CHENG Trevor | 13% | 37% | 33% | 14% | 3% | - | - |
74 | MIAO KUNQI | - | 2% | 12% | 30% | 34% | 18% | 3% |
76 | ZANKOWSKI Brendan | 29% | 42% | 23% | 6% | 1% | - | - |
77 | BAZHENOV Anthony | - | 3% | 16% | 34% | 32% | 12% | 1% |
77 | CLAES Lucas | 1% | 11% | 31% | 36% | 17% | 3% | - |
79 | RUBIN Max | - | 4% | 17% | 33% | 31% | 13% | 2% |
80 | WANG aaron | 14% | 37% | 33% | 13% | 2% | - | - |
81 | PRAKASH Hari | 1% | 10% | 29% | 36% | 19% | 4% | - |
82 | WONG Preston | 28% | 43% | 23% | 5% | 1% | - | |
83 | LAURSEN Logan | 11% | 34% | 37% | 16% | 2% | - | |
84 | HSU Joshua | 6% | 28% | 38% | 22% | 6% | 1% | - |
85 | YAN Eric | 38% | 41% | 17% | 3% | - | - | - |
86 | KIM Alexander | 7% | 31% | 38% | 19% | 4% | - | - |
86 | WU Johnny y. | 25% | 41% | 26% | 8% | 1% | - | - |
88 | AGHAZARIAN Samuel G. | 34% | 44% | 19% | 3% | - | - | - |
89 | HOLLAND Thomas | 25% | 42% | 25% | 7% | 1% | - | - |
89 | ZHAO Colin | 47% | 40% | 12% | 1% | - | - | - |
91 | KIM Remington | 27% | 43% | 24% | 6% | 1% | - | - |
92 | PAINTER Noah | 11% | 37% | 36% | 14% | 2% | - | - |
92 | WACHS Bryce | 64% | 30% | 5% | - | - | - | - |
94 | ORMOND Andrew | 25% | 42% | 25% | 7% | 1% | - | - |
95 | RISTOW Carsten | 16% | 39% | 33% | 11% | 1% | - | |
96 | GUO Woody | 18% | 42% | 30% | 9% | 1% | - | |
97 | LEE Royce | 9% | 33% | 36% | 17% | 4% | - | - |
98 | NGUYEN Grayson | 23% | 41% | 26% | 8% | 1% | - | - |
99 | WU Eric | < 1% | 8% | 27% | 36% | 21% | 6% | 1% |
100 | BHARGAV Angad | 4% | 25% | 39% | 25% | 7% | 1% | - |
100 | FAN Joshua | 16% | 39% | 31% | 11% | 2% | - | - |
102 | MITCHEM Paolo | 38% | 42% | 17% | 3% | - | - | - |
103 | CHANG Kristopher | 72% | 25% | 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.