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 | ZHAO Olivia | - | - | - | 1% | 11% | 39% | 48% |
2 | LEE Zoe | - | - | - | 3% | 15% | 40% | 42% |
3 | KENSICKI Phoebe | - | - | - | 2% | 14% | 40% | 43% |
3 | CHANG Lydia | - | - | 1% | 9% | 34% | 48% | 8% |
5 | WANG Doreen | - | - | - | 1% | 11% | 39% | 48% |
6 | PARK Lauren | - | - | - | 1% | 7% | 34% | 59% |
7 | SOE Hayleigh | - | - | - | 3% | 17% | 41% | 38% |
8 | SAIFEE Zahra | - | 1% | 8% | 28% | 41% | 21% | |
9 | KIM Audrey | 1% | 5% | 21% | 37% | 29% | 7% | |
10 | DESAI Zoya | 1% | 6% | 21% | 35% | 29% | 9% | |
11 | ZHANG Hannah | - | 4% | 17% | 34% | 31% | 12% | 1% |
12 | HOM Emma | - | 1% | 9% | 28% | 38% | 20% | 3% |
13 | LU Keeva | - | - | 4% | 18% | 41% | 36% | |
14 | SAIFEE Sakina | - | 1% | 5% | 20% | 39% | 30% | 6% |
15 | SHEN Gloria | - | 1% | 5% | 22% | 40% | 28% | 4% |
16 | XU Ella | - | 2% | 11% | 29% | 36% | 19% | 3% |
17 | CHENG Audrey | 4% | 18% | 34% | 29% | 13% | 2% | - |
18 | THOTA Akira | - | 3% | 14% | 34% | 36% | 13% | |
19 | YUNG Zoe | 5% | 20% | 34% | 28% | 12% | 2% | |
20 | JIANG Ziqing | - | 1% | 9% | 28% | 39% | 20% | 2% |
21 | LIU Doris-Zihan Zhou | - | 1% | 11% | 32% | 36% | 17% | 2% |
22 | QIN Adriana | - | 4% | 15% | 31% | 32% | 15% | 2% |
23 | LUO Olivia | 6% | 26% | 37% | 23% | 7% | 1% | - |
24 | QIAO Lori-Ann | - | 1% | 7% | 23% | 36% | 26% | 6% |
25 | ARCE BASURCO Juliana | 2% | 14% | 33% | 33% | 15% | 3% | - |
26 | CHEN bridgette | - | 2% | 12% | 30% | 34% | 18% | 3% |
27 | LI Audrey | 4% | 19% | 34% | 29% | 12% | 2% | |
28 | ARUNKISHORE Dakshina | 1% | 13% | 32% | 34% | 16% | 3% | - |
29 | NICOLETTI Thea | 2% | 12% | 28% | 33% | 19% | 5% | - |
30 | LI Annabelle | 1% | 10% | 26% | 34% | 22% | 6% | 1% |
31 | PAWAR Sanvi | 15% | 42% | 31% | 10% | 2% | - | - |
32 | LIU Celia | - | 1% | 8% | 27% | 38% | 22% | 4% |
33 | CHEN Catherine | 2% | 13% | 29% | 32% | 18% | 5% | - |
34 | LIU Mia | 11% | 32% | 35% | 18% | 4% | - | |
35 | LIM Kora | 1% | 10% | 28% | 34% | 20% | 5% | - |
36 | HONDA Emi | 5% | 27% | 40% | 22% | 5% | 1% | - |
37 | CHEN Yifan | 1% | 6% | 21% | 33% | 27% | 10% | 1% |
38 | WU Gloria | 1% | 6% | 25% | 37% | 24% | 7% | 1% |
39 | GOWDA Siyona | 26% | 42% | 25% | 6% | 1% | - | |
40 | JIAN Amy | 1% | 11% | 29% | 35% | 20% | 4% | |
41 | KIM Rylie | 2% | 13% | 30% | 33% | 18% | 4% | |
42 | ZEE Bella | 5% | 23% | 37% | 26% | 8% | 1% | |
43 | MAHAPATRA Alisha | - | 4% | 18% | 36% | 30% | 11% | 1% |
44 | DEJOY Leilah | - | 1% | 10% | 33% | 41% | 15% | 1% |
45 | LIU Anya | - | 1% | 6% | 23% | 37% | 27% | 6% |
46 | KENT Audrey | 10% | 34% | 36% | 16% | 3% | - | - |
47 | VALOUEVA Katerina | 53% | 36% | 10% | 1% | - | - | - |
48 | FAN Lauren | 5% | 23% | 37% | 26% | 8% | 1% | - |
49 | LIN Avery | 6% | 24% | 36% | 25% | 8% | 1% | |
50 | ZHOU athena | 12% | 33% | 34% | 17% | 4% | - | |
51 | LIN Clara | 9% | 29% | 36% | 20% | 5% | - | |
51 | ARNOLD Evangeline | 5% | 22% | 36% | 27% | 9% | 1% | |
53 | TURBAT Celine | 1% | 14% | 35% | 34% | 14% | 2% | - |
54 | HOLSTAD Anneliese | 6% | 23% | 35% | 25% | 9% | 2% | - |
55 | JIANG Ziqi | - | 2% | 12% | 29% | 34% | 19% | 4% |
56 | CHU Chloe | 16% | 37% | 32% | 12% | 2% | - | - |
57 | YIN Anthea | 31% | 43% | 21% | 5% | - | - | - |
58 | LAM Dorris Yandor | 2% | 13% | 31% | 34% | 17% | 3% | - |
59 | ZHANG Selene T. | 10% | 30% | 34% | 19% | 6% | 1% | - |
59 | SCHOEFFLER Isabell | 6% | 30% | 39% | 20% | 5% | - | - |
61 | ZHAN Catherine | 1% | 8% | 24% | 35% | 25% | 7% | |
62 | CAO Alexandra | 39% | 42% | 15% | 3% | - | - | - |
63 | FANG Savannah | 8% | 27% | 35% | 22% | 7% | 1% | - |
64 | YANG Claire | 53% | 37% | 9% | 1% | - | - | - |
65 | XIA Emily | 8% | 29% | 37% | 21% | 5% | - | |
66 | DESLAURIERS Amelie | 2% | 14% | 34% | 34% | 14% | 2% | - |
67 | QIN Valentina | 29% | 42% | 23% | 6% | 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.