AFM Sunnyvale - Sunnyvale, 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 | SHARMA Sanil | - | - | 3% | 19% | 45% | 33% | |
2 | STRAUSS Luke | - | 3% | 16% | 35% | 34% | 11% | |
3 | KONG Martin | - | 2% | 13% | 35% | 36% | 13% | 1% |
3 | GARRETT Samuel | - | - | - | 2% | 13% | 40% | 45% |
5 | MACHULSKY Leehi | - | - | - | 6% | 34% | 44% | 15% |
6 | KIM Benjamin | - | - | - | 2% | 12% | 39% | 47% |
7 | CHIRASHNYA Adam | - | 1% | 5% | 18% | 34% | 32% | 11% |
8 | WRIGHT Christopher | - | 5% | 21% | 37% | 28% | 8% | |
9 | LEVITSKY Jonathan | - | - | 1% | 8% | 30% | 42% | 19% |
10 | JAIN Sarthak | - | - | - | 5% | 22% | 44% | 29% |
11 | ZAYDMAN David | - | - | 4% | 24% | 45% | 27% | |
12 | WELDON Benjamin | - | 1% | 9% | 29% | 40% | 21% | |
12 | HUSSAIN Kamran | - | 4% | 21% | 43% | 28% | 4% | |
14 | SARKAR Anish | - | - | 3% | 15% | 36% | 34% | 11% |
15 | AHMED Saheer | 1% | 9% | 28% | 37% | 21% | 4% | |
16 | ULINICH Alex | 1% | 10% | 32% | 40% | 16% | 1% | |
17 | CHIRASHNYA Daniel | - | 2% | 10% | 26% | 35% | 22% | 5% |
18 | SARKAR Agniv | - | 1% | 13% | 37% | 37% | 12% | |
19 | PARK Elliot | - | - | - | 4% | 21% | 48% | 27% |
20 | LOWE-THORPE Tyler | - | - | 3% | 14% | 32% | 35% | 15% |
21 | ZUHARS Renee | - | - | 11% | 33% | 37% | 17% | 2% |
22 | WATT Darren | - | 2% | 15% | 37% | 35% | 10% | |
23 | KNUDSEN Travis | - | - | 6% | 42% | 42% | 10% | |
24 | COHEN Benjamin | - | 2% | 10% | 26% | 35% | 22% | 5% |
25 | SINHA Zaan | 1% | 9% | 27% | 35% | 21% | 6% | 1% |
26 | BURLING Trenor | 2% | 13% | 31% | 33% | 17% | 4% | - |
27 | LIU Felix | - | 1% | 9% | 26% | 37% | 23% | 4% |
28 | ELZAYN Hadi | 1% | 11% | 31% | 36% | 17% | 3% | |
29 | CHU Audrey | 4% | 21% | 36% | 28% | 10% | 1% | |
30 | BECK Brian | - | 2% | 10% | 27% | 36% | 21% | 4% |
31 | YUKELSON Michael | 1% | 6% | 22% | 37% | 27% | 7% | |
32 | CHEN Bailey | - | 1% | 7% | 25% | 39% | 25% | 4% |
33 | ZHEREBCHEVSKA Veronika | - | 1% | 7% | 26% | 37% | 24% | 5% |
34 | ZHANG Nathan | 2% | 15% | 35% | 32% | 13% | 2% | - |
35 | WINTZ Paul | - | 1% | 7% | 26% | 42% | 24% | |
36 | ZHANG Alec | - | 2% | 12% | 32% | 37% | 16% | |
37 | WILLIS Alan | 15% | 37% | 33% | 13% | 2% | - | |
38 | GEBALA Natalie Brooke | 1% | 10% | 35% | 36% | 15% | 3% | - |
39 | GOLDBERG Artie | - | 5% | 20% | 35% | 28% | 10% | 1% |
39 | FELAND Alexandra | 2% | 12% | 29% | 34% | 19% | 4% | - |
41 | LEANG Priscilla | - | 11% | 39% | 35% | 13% | 2% | - |
42 | MEHROTRA Anya | 3% | 14% | 30% | 31% | 17% | 4% | - |
43 | SIRBU Dan | 1% | 9% | 29% | 36% | 20% | 5% | - |
44 | WONG Kevin | - | 1% | 7% | 22% | 35% | 27% | 8% |
45 | HAU Olivia | 1% | 9% | 30% | 37% | 19% | 4% | - |
46 | ZHUANG William | - | 5% | 20% | 34% | 28% | 10% | 1% |
47 | LEE Kaitlyn | - | 5% | 23% | 41% | 25% | 5% | - |
48 | DOWDELL Riley | 2% | 17% | 39% | 31% | 10% | 1% | |
49 | HABERMAN Hailey | 9% | 32% | 38% | 18% | 3% | - | |
50 | MING Nathan | - | 7% | 32% | 40% | 18% | 3% | |
51 | HANSEN Kira | - | 5% | 22% | 39% | 28% | 6% | |
52 | ENRILE Erica | 19% | 58% | 20% | 2% | - | - | |
53 | ANDERSON Kai | 3% | 43% | 40% | 13% | 2% | - | |
54 | GU Aidan | 1% | 11% | 31% | 36% | 17% | 3% | - |
55 | YUEN Nathan | 1% | 11% | 31% | 35% | 18% | 4% | - |
56 | SU Oliver | 3% | 15% | 31% | 31% | 16% | 4% | - |
57 | LOMIO Nicholas | 1% | 7% | 26% | 40% | 23% | 4% | - |
58 | CHIEM Karen | 17% | 44% | 32% | 7% | - | - | |
59 | CHENG Zijun | 1% | 9% | 28% | 38% | 20% | 4% | - |
60 | LIANG Eric | 2% | 22% | 43% | 26% | 5% | - | - |
61 | LIU Noah | 8% | 30% | 36% | 20% | 5% | 1% | - |
62 | CLAES Lucas | 31% | 42% | 21% | 5% | 1% | - | - |
63 | LI Ethan | 15% | 55% | 26% | 4% | - | - | |
64 | EDWARDS Darby | 4% | 40% | 40% | 14% | 2% | - | - |
65 | LOFTUS Luca | 6% | 24% | 35% | 25% | 9% | 2% | - |
66 | HOOPES JR. Richard | 7% | 29% | 36% | 20% | 6% | 1% | - |
67 | LI Charlotte | 19% | 39% | 29% | 11% | 2% | - | |
68 | HOFMAN Haejung | 8% | 30% | 36% | 20% | 5% | 1% | - |
69 | CHENG Trevor | 14% | 37% | 34% | 13% | 2% | - | - |
69 | LIANG Jingjing | 65% | 30% | 5% | - | - | - | - |
71 | CHUNG Penelope | 9% | 32% | 38% | 17% | 3% | - | - |
72 | OBENCHAIN Janel | - | 17% | 43% | 30% | 8% | 1% | - |
73 | PRAKASH Hari | 17% | 39% | 31% | 11% | 2% | - | |
74 | LOUIE Sarah | 45% | 41% | 13% | 2% | - | - | |
75 | ESTRADA Ariana | 9% | 35% | 42% | 13% | 2% | - | - |
76 | WANE Fawn | 13% | 36% | 34% | 14% | 2% | - | |
76 | LAI Amanda | 29% | 42% | 23% | 5% | 1% | - | |
78 | SRIVASTAVA Arya | 20% | 41% | 29% | 9% | 1% | - | - |
79 | ZOLNIKOV Alina | 23% | 42% | 27% | 7% | 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.