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 | - | - | - | - | - | 8% | 91% |
2 | KIM Sydney | - | - | - | 6% | 32% | 62% | |
3 | POEI Lauren | - | - | - | 1% | 9% | 38% | 52% |
3 | BAE Yooju | - | - | - | - | 4% | 34% | 62% |
5 | SAIFEE Lamya | - | - | - | - | 1% | 13% | 87% |
6 | YAO Abby | - | - | 2% | 15% | 39% | 37% | 7% |
7 | PEDERSEN Haley | - | 1% | 7% | 27% | 39% | 22% | 5% |
8 | LIU Samantha | - | - | - | 1% | 8% | 34% | 57% |
9 | LIU Ariana | - | - | 2% | 14% | 36% | 36% | 12% |
10 | RUI Jessie | - | - | 4% | 18% | 37% | 32% | 9% |
11 | ZHANG Ivy | - | - | - | 1% | 7% | 34% | 59% |
12 | LUO Miranda | - | - | 1% | 8% | 27% | 41% | 23% |
13 | ZHAO Olivia | - | - | 1% | 10% | 34% | 43% | 12% |
14 | WU Chingfei Amber | - | - | 1% | 10% | 31% | 39% | 17% |
15 | LIU Ashley | - | 3% | 15% | 34% | 35% | 13% | - |
16 | LEE Zoe E. | - | 5% | 25% | 42% | 25% | 3% | |
17 | MIYASHIRO Katelyn | - | - | 1% | 9% | 38% | 53% | |
18 | LIM Kensie | - | 1% | 12% | 38% | 37% | 12% | 1% |
19 | LEVESQUE Brielle | - | - | - | 2% | 22% | 56% | 19% |
20 | ZHOU Joi | - | 1% | 7% | 24% | 38% | 26% | 4% |
21 | ZHANG Viviana | - | 1% | 12% | 38% | 40% | 10% | |
22 | ZHANG Hannah | 3% | 24% | 40% | 25% | 7% | 1% | - |
23 | SOE Hayleigh | - | 2% | 10% | 30% | 39% | 19% | 1% |
24 | FAN Sophia | 1% | 9% | 37% | 37% | 14% | 2% | - |
25 | KENSICKI Phoebe | - | - | 3% | 24% | 52% | 19% | 1% |
26 | WANG Doreen | - | 3% | 16% | 35% | 32% | 12% | 2% |
27 | MIYOSHI Kylie | - | - | 7% | 31% | 41% | 17% | 2% |
28 | KIM Lauren | - | 4% | 17% | 34% | 31% | 12% | 1% |
29 | ZEE Savannah | - | - | 5% | 21% | 37% | 29% | 8% |
30 | YU Sophie | - | 4% | 21% | 41% | 30% | 4% | |
31 | PARK Lauren | - | - | 4% | 20% | 38% | 30% | 8% |
32 | XIA Isabella | - | 5% | 20% | 37% | 29% | 8% | - |
33 | FANG Kelervia | - | - | 6% | 26% | 42% | 23% | 3% |
34 | TAN Shouyin | 3% | 17% | 34% | 31% | 13% | 2% | - |
35 | ZHANG Queeny | 2% | 17% | 40% | 31% | 9% | 1% | |
36 | HUGHES Liv | - | - | 2% | 12% | 37% | 45% | 4% |
37 | CHUN Ami | 17% | 38% | 31% | 12% | 2% | - | - |
38 | KIM Natalie | 1% | 6% | 23% | 38% | 27% | 6% | - |
39 | CHEN Madeleine | - | 2% | 21% | 52% | 23% | 2% | - |
40 | YU Xintong | 3% | 23% | 53% | 20% | 2% | - | - |
41 | LUCAS Ava | - | 3% | 20% | 43% | 28% | 5% | |
42 | MCLANAHAN Jasmine | 3% | 21% | 44% | 26% | 5% | - | |
43 | IDANAWANG Madison | 13% | 42% | 33% | 10% | 1% | - | |
44 | IDANAWANG Allison | 16% | 47% | 30% | 6% | 1% | - | |
45 | LING Camryn | 8% | 29% | 37% | 20% | 5% | - | - |
46 | TU Averie | 12% | 39% | 37% | 11% | 2% | - | - |
47 | LI Audrey | 3% | 16% | 35% | 32% | 13% | 2% | - |
48 | LIM Kora | 5% | 22% | 37% | 27% | 8% | 1% | - |
49 | LI Chelsea | 2% | 12% | 30% | 34% | 18% | 4% | - |
50 | CHU Felicity | 12% | 35% | 35% | 15% | 3% | - | - |
51 | SAIFEE Zahra | - | 3% | 22% | 42% | 26% | 6% | - |
52 | DONG Nancy | 16% | 53% | 27% | 4% | - | - | - |
53 | DEJOY Leilah | 10% | 32% | 36% | 18% | 4% | - | - |
54 | BHANGOO Paloma | 63% | 31% | 5% | - | - | - | - |
55 | YUNG Zoe | 23% | 40% | 27% | 8% | 1% | - | - |
56 | LIU Celia | 2% | 19% | 48% | 26% | 5% | - | - |
57 | TAI Taphanie | 16% | 41% | 33% | 9% | 1% | - | - |
58 | WANG Ellen | 39% | 47% | 12% | 1% | - | - | - |
58 | AHN Hayley | 5% | 29% | 40% | 20% | 5% | - | - |
60 | DESAI Zoya | 7% | 28% | 36% | 22% | 6% | 1% | - |
61 | NICOLETTI Thea | 19% | 40% | 30% | 10% | 1% | - | - |
62 | YIN Anthea | 47% | 43% | 9% | - | - | - | - |
63 | GOWDA Siyona | 47% | 41% | 11% | 1% | - | - | |
64 | PAWAR Sanvi | 35% | 50% | 14% | 1% | - | - | - |
65 | CHU Lauren | 29% | 45% | 22% | 3% | - | - | - |
66 | YANG Byanca | 49% | 40% | 10% | 1% | - | - | |
67 | GROSSMAN Elizabeth | 26% | 53% | 19% | 2% | - | - | - |
68 | KIM Phoebe | 61% | 34% | 5% | - | - | - | - |
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.