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 | BAE Yooju | - | - | - | - | - | 9% | 90% |
2 | SAIFEE Lamya | - | - | - | - | 1% | 17% | 82% |
3 | KIM Sydney | - | - | - | - | 4% | 28% | 68% |
3 | HSIAO Ariya | - | - | 5% | 26% | 45% | 24% | |
5 | ZONG Melody | - | - | 1% | 7% | 28% | 45% | 19% |
6 | ZEE Savannah | - | - | 5% | 25% | 46% | 24% | |
7 | LIM Kensie | - | - | - | 3% | 21% | 61% | 15% |
8 | SOE Hayleigh | - | - | 3% | 16% | 41% | 37% | 4% |
9 | LEVESQUE Brielle | - | - | - | - | 1% | 24% | 74% |
10 | ZHOU Joi | - | - | 3% | 20% | 46% | 31% | |
11 | LIN Allison | - | 1% | 10% | 30% | 41% | 17% | 1% |
12 | MIYASHIRO Katelyn | - | - | 1% | 8% | 26% | 41% | 25% |
13 | MATTUPALLI Ashwika | - | 1% | 9% | 26% | 35% | 22% | 5% |
14 | KIM Lauren | 1% | 8% | 25% | 35% | 23% | 7% | 1% |
15 | IDANAWANG Madison | 3% | 20% | 36% | 28% | 10% | 2% | - |
16 | XIA Isabella | - | - | 4% | 19% | 40% | 35% | 2% |
17 | KENSICKI Phoebe | - | 1% | 4% | 17% | 33% | 33% | 12% |
18 | PARK Lauren | - | - | 3% | 15% | 33% | 34% | 14% |
19 | WANG Doreen | - | 1% | 8% | 30% | 43% | 17% | 1% |
20 | TAN Shouyin | - | 3% | 14% | 35% | 35% | 12% | 1% |
21 | ZHANG Viviana | - | 1% | 9% | 35% | 41% | 15% | |
22 | FANG Kelervia | - | 2% | 10% | 28% | 35% | 21% | 5% |
23 | LIU Ashley | - | - | 3% | 16% | 39% | 36% | 6% |
24 | FAN Sophia | - | 3% | 14% | 30% | 32% | 16% | 3% |
25 | WANG Ellen | 1% | 7% | 25% | 39% | 25% | 3% | - |
26 | LI Chelsea | - | 1% | 8% | 32% | 42% | 17% | |
27 | CHUN Ami | 8% | 33% | 41% | 15% | 2% | - | |
28 | DENG Claire | - | 4% | 21% | 43% | 26% | 5% | |
29 | YU Sophie | - | 1% | 9% | 26% | 35% | 23% | 5% |
30 | HAN Gian | - | - | 4% | 15% | 33% | 35% | 14% |
31 | SAH Madeleine | - | 1% | 9% | 25% | 36% | 23% | 5% |
32 | YUNG Zoe | 16% | 39% | 31% | 12% | 2% | - | - |
33 | HSU Rachel | 1% | 10% | 28% | 35% | 20% | 5% | - |
34 | AHN Hayley | 4% | 20% | 34% | 28% | 11% | 2% | - |
35 | MONAT Jennifer | - | 1% | 7% | 23% | 36% | 26% | 6% |
36 | LEE Abigail | 2% | 12% | 29% | 33% | 19% | 5% | 1% |
37 | IDANAWANG Allison | 8% | 27% | 36% | 22% | 6% | 1% | - |
38 | BHANGOO Paloma | 7% | 31% | 39% | 19% | 4% | - | - |
39 | LAVERY Lucy | - | - | - | 4% | 19% | 44% | 33% |
40 | LI Audrey | 2% | 11% | 28% | 35% | 20% | 4% | - |
41 | JOESUF Thea | 3% | 17% | 34% | 31% | 13% | 2% | - |
42 | YU Xintong | 5% | 23% | 38% | 26% | 7% | 1% | - |
43 | SAIFEE Sakina | 5% | 33% | 42% | 17% | 2% | - | |
44 | TAI Taphanie | 9% | 31% | 37% | 18% | 4% | - | - |
45 | SAIFEE Zahra | - | 5% | 22% | 39% | 27% | 6% | - |
45 | IRELAND Moira | 20% | 41% | 29% | 9% | 1% | - | - |
47 | DESAI Zoya | 1% | 8% | 26% | 37% | 22% | 6% | - |
48 | CHU Felicity | 4% | 19% | 37% | 30% | 9% | 1% | - |
49 | GROSSMAN Elizabeth | 6% | 25% | 37% | 25% | 7% | - | - |
50 | YANG Byanca | 8% | 29% | 37% | 21% | 5% | - | - |
51 | KULKARNI myra | 32% | 41% | 21% | 5% | 1% | - | - |
52 | VOROBIEV Alexandra | 5% | 32% | 43% | 18% | 3% | - | |
53 | SANTIAGO Rania | 20% | 45% | 28% | 6% | - | - | |
54 | GOWDA Siyona | 5% | 26% | 40% | 24% | 6% | 1% | - |
55 | LIU Celia | 4% | 21% | 37% | 28% | 8% | - | - |
56 | ZHANG Hannah | 2% | 12% | 29% | 33% | 18% | 5% | - |
57 | DONG Nancy | 45% | 40% | 13% | 2% | - | - | - |
58 | DEJOY Leilah | 9% | 29% | 36% | 20% | 5% | - | - |
59 | POEI Meagan | 6% | 24% | 36% | 25% | 8% | 1% | - |
60 | TU Averie | 26% | 43% | 24% | 6% | 1% | - | - |
61 | LIU Madeleine | 66% | 30% | 4% | - | - | - | |
62 | JOESUF Aurielle | 12% | 34% | 35% | 16% | 3% | - | - |
63 | PAWAR Sanvi | 47% | 39% | 12% | 2% | - | - | - |
64 | XI Sophia | 13% | 37% | 34% | 13% | 2% | - | - |
65 | JONES Olivia | 4% | 22% | 36% | 26% | 9% | 2% | - |
66 | THERIOT Reagan | 16% | 38% | 32% | 12% | 2% | - | - |
67 | LIM Kora | 19% | 40% | 30% | 10% | 1% | - | - |
68 | CHO Rylee | 32% | 45% | 19% | 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.