Jump Beyond Sports - Torrance, 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 | HSU Kaylin | - | - | - | - | 1% | 20% | 78% |
2 | SAIFEE Lamya | - | - | - | - | 2% | 20% | 78% |
3 | CHUN Adelle Ha-Eune | - | - | - | 4% | 24% | 50% | 22% |
3 | BAE Yooju | - | - | - | 1% | 9% | 41% | 49% |
5 | ZOU Ella | - | - | - | - | 5% | 29% | 66% |
6 | AYUPOVA AMELIYA | - | - | - | 9% | 91% | ||
7 | THERON Zoe | - | 2% | 12% | 31% | 36% | 17% | 2% |
8 | YONG Rosalind | - | - | 3% | 17% | 46% | 35% | |
9 | DUAN Sophie | - | - | 1% | 5% | 23% | 43% | 28% |
10 | WYNN Kylie | - | - | - | 2% | 13% | 40% | 45% |
11 | LEVESQUE Brielle | - | - | - | 7% | 33% | 52% | 8% |
12 | ZHANG Ivy | - | - | - | 4% | 22% | 44% | 29% |
13 | YAO Abby | - | - | 4% | 20% | 39% | 30% | 7% |
14 | LI Joy | - | - | 1% | 6% | 25% | 43% | 25% |
15 | LIU Ariana | - | 1% | 7% | 26% | 40% | 22% | 4% |
16 | PARK Lauren | - | 3% | 13% | 32% | 35% | 16% | 1% |
17 | MIYASHIRO Katelyn | - | - | 1% | 8% | 29% | 43% | 20% |
18 | GUAN Adeline | - | - | 1% | 11% | 35% | 39% | 13% |
19 | NEUMANN Erika | - | 6% | 27% | 39% | 22% | 5% | - |
20 | RUI Jessie | 1% | 5% | 19% | 34% | 29% | 11% | 1% |
21 | DENG Claire | - | 4% | 27% | 42% | 22% | 5% | - |
22 | DESAI Esha | - | - | 5% | 23% | 47% | 26% | |
23 | LUCAS Ava | 3% | 29% | 53% | 15% | - | ||
24 | PEDERSEN Haley | - | 5% | 21% | 41% | 27% | 6% | - |
24 | SAH Madeleine | 2% | 11% | 28% | 34% | 20% | 5% | - |
26 | ANDONIAN Lauren | - | 1% | 9% | 28% | 37% | 20% | 4% |
27 | MA Emily(Yiming) | 8% | 31% | 39% | 19% | 3% | - | |
28 | TAO Ann | - | - | 2% | 16% | 38% | 34% | 10% |
29 | WILLIAMSON Tessa | - | 2% | 14% | 37% | 36% | 10% | 1% |
30 | ZONG Melody | - | 4% | 30% | 62% | 4% | ||
31 | KENSICKI Phoebe | - | 1% | 9% | 29% | 38% | 19% | 3% |
32 | DAI Iris Yuyang | - | 4% | 18% | 33% | 31% | 12% | 1% |
33 | KIM Sydney | - | - | 2% | 12% | 33% | 39% | 15% |
34 | CHANG Olivia | 1% | 13% | 39% | 35% | 10% | 1% | - |
35 | LIU Ashley | 1% | 14% | 36% | 33% | 13% | 2% | - |
36 | ZHAO Olivia | - | 4% | 23% | 39% | 26% | 7% | 1% |
37 | CHOI Sophie | - | 1% | 8% | 32% | 44% | 14% | 1% |
38 | TAN Shouyin | 9% | 28% | 35% | 21% | 6% | 1% | - |
39 | YU Sophie | 1% | 6% | 22% | 35% | 27% | 8% | 1% |
40 | TULYAG Sayda | - | 8% | 36% | 39% | 15% | 2% | - |
41 | VILLARAMA Kara | 3% | 17% | 38% | 32% | 10% | 1% | |
42 | HSIAO Ariya | 6% | 28% | 40% | 21% | 4% | - | |
43 | LIU Isabelle | 5% | 22% | 35% | 26% | 10% | 1% | - |
44 | LIN Allison | 2% | 25% | 40% | 25% | 7% | 1% | - |
45 | XI Sophia | 9% | 39% | 38% | 13% | 2% | - | - |
46 | CHEN Madeleine | 10% | 34% | 38% | 16% | 3% | - | - |
47 | FAN Sophia | 3% | 22% | 41% | 26% | 7% | 1% | - |
47 | DVOIRIS Maya | 13% | 38% | 35% | 12% | 2% | - | - |
49 | BENNYHOFF Myla | 25% | 49% | 22% | 4% | - | - | - |
50 | KULKARNI myra | 54% | 37% | 9% | 1% | - | - | - |
50 | LI Chelsea | 9% | 30% | 35% | 19% | 5% | 1% | - |
52 | ZHANG Queeny | 8% | 28% | 35% | 21% | 6% | 1% | - |
53 | MANANSALA Zara | 14% | 53% | 29% | 3% | - | ||
54 | IDANAWANG Madison | 34% | 43% | 20% | 4% | - | - | |
55 | LIM Kensie | - | 7% | 31% | 42% | 17% | 2% | - |
56 | HUGHES Olivia | - | 4% | 20% | 39% | 28% | 8% | 1% |
57 | ZHU Yunyao | - | 7% | 27% | 38% | 22% | 5% | - |
58 | LING Camryn | 14% | 35% | 33% | 14% | 3% | - | - |
59 | TAI Taphanie | 10% | 46% | 33% | 9% | 1% | - | - |
60 | TU Averie | 16% | 55% | 25% | 4% | - | - | - |
61 | IDANAWANG Allison | 64% | 32% | 4% | - | - | ||
62 | AHN Hayley | 28% | 44% | 23% | 5% | - | - | - |
63 | YU Xintong | 40% | 45% | 13% | 1% | - | - | - |
64 | PARK Seojeong | 70% | 27% | 3% | - | - | - | - |
65 | YANG Byanca | 68% | 30% | 3% | - | - | - | - |
66 | JONES Olivia (Liv) | 9% | 31% | 36% | 19% | 5% | - | - |
67 | CHEN Chelsea | 78% | 20% | 2% | - | - | - | - |
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.