Minneapolis, MN, 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 | NEELAM Navya | - | - | 3% | 15% | 36% | 36% | 9% |
2 | ABUELFUTUH Sama | - | - | - | 2% | 12% | 39% | 47% |
3 | LEE Gloria | - | - | 1% | 6% | 22% | 41% | 30% |
3 | BOROTKO Katerina | - | - | 1% | 6% | 23% | 41% | 28% |
5 | XU Jessica | - | 1% | 7% | 24% | 37% | 25% | 6% |
6 | HABEK Sophia | - | - | - | 2% | 13% | 40% | 45% |
7 | TISMENSKY Avital | 7% | 24% | 35% | 24% | 8% | 1% | - |
8 | QI Julieanne | - | - | 4% | 16% | 33% | 34% | 13% |
9 | HANKINS Morgan | - | - | - | 2% | 11% | 37% | 50% |
10 | JORDAN Zoe | 1% | 6% | 19% | 31% | 28% | 13% | 3% |
11 | TALANDZEVICIUS Sophia | 7% | 25% | 36% | 24% | 7% | 1% | |
12 | FRANGER Macy | - | - | 1% | 9% | 29% | 40% | 20% |
13 | TISMENSKY Abigail | - | 3% | 14% | 30% | 34% | 17% | 3% |
14 | CHERNIS Liah | 2% | 10% | 26% | 32% | 22% | 7% | 1% |
15 | WANG Cecilia | 1% | 6% | 21% | 35% | 28% | 8% | |
16 | KROPP Anne | 1% | 7% | 26% | 36% | 23% | 7% | 1% |
17 | LI Alice | - | - | 3% | 17% | 37% | 34% | 8% |
18 | WONG Sydney | 4% | 21% | 36% | 28% | 10% | 1% | |
19 | DESANTIS-IBANEZ Elena | 1% | 10% | 29% | 35% | 20% | 4% | |
20 | VALDEZ Emma | 2% | 13% | 27% | 31% | 19% | 6% | 1% |
21 | KENT Laurel | 6% | 23% | 35% | 26% | 9% | 1% | - |
22 | CHEN Alina | 1% | 6% | 22% | 34% | 26% | 9% | 1% |
23 | ZHANG Jane | 4% | 18% | 33% | 30% | 13% | 3% | - |
24 | HALE Reagan | 4% | 20% | 34% | 28% | 11% | 2% | - |
25 | ZHONG Isabell | 2% | 13% | 31% | 33% | 17% | 4% | - |
26 | KANE Alexa | - | 1% | 6% | 22% | 37% | 27% | 7% |
27 | WORKNEH Lulit | 1% | 8% | 26% | 36% | 23% | 6% | - |
28 | ZHAO Yanning | - | 5% | 19% | 34% | 29% | 11% | 1% |
29 | PEI Claire | - | 2% | 11% | 28% | 35% | 20% | 3% |
30 | PETROFF Eva | 3% | 14% | 28% | 31% | 18% | 6% | 1% |
31 | SUREKA Krisha | 2% | 13% | 30% | 33% | 18% | 4% | - |
32 | STEMPKOVSKA Dina | 1% | 7% | 23% | 34% | 25% | 8% | 1% |
33 | WU Michelle | 3% | 15% | 31% | 31% | 16% | 4% | - |
34 | OLUYOLE Isabella | 20% | 40% | 29% | 10% | 2% | - | - |
35 | TISHKOVA-ROBERTS Daria | 9% | 29% | 35% | 20% | 6% | 1% | |
36 | FISCHBEIN Quinley | - | 1% | 5% | 19% | 35% | 30% | 9% |
37 | NAPOLI Eleanor | 3% | 16% | 32% | 30% | 15% | 3% | - |
38 | FU Shannon | 2% | 11% | 27% | 34% | 21% | 6% | 1% |
39 | GRIGORYAN Amaliya | 7% | 26% | 37% | 23% | 6% | 1% | - |
40 | VOSKOV Olivia | 11% | 31% | 34% | 18% | 5% | 1% | - |
41 | CHOI Arianna | 5% | 21% | 35% | 27% | 10% | 2% | - |
42 | PARK Lauren | 3% | 16% | 33% | 31% | 14% | 2% | |
43 | RICHARDSON Gianna | - | 5% | 18% | 35% | 31% | 11% | |
44 | SUN Karolyn | 1% | 5% | 19% | 34% | 31% | 11% | |
45 | TREPANIER Georgina | - | 4% | 16% | 34% | 33% | 12% | |
46 | JIANG chenxi | 18% | 37% | 30% | 12% | 3% | - | - |
47 | CHANG Allison | - | 2% | 12% | 29% | 35% | 19% | 4% |
48 | WANG Aria | 1% | 5% | 19% | 34% | 29% | 11% | 1% |
49 | KUPPUSAMY Mahaa | 16% | 36% | 32% | 13% | 3% | - | - |
50 | YAO Chloe | 7% | 25% | 35% | 24% | 8% | 1% | - |
51 | KANE Charlotte | 7% | 26% | 36% | 23% | 7% | 1% | - |
52 | MANDAP Alessandra | - | - | 4% | 18% | 37% | 33% | 8% |
53 | DOBROSAVLJEVIĆ Kalina | - | 2% | 12% | 28% | 34% | 19% | 4% |
54 | VIJAY Vaishnavi | 1% | 9% | 27% | 35% | 22% | 5% | - |
55 | CHO Dana | 2% | 11% | 27% | 33% | 21% | 6% | 1% |
56 | KWON Kaylin | - | - | 3% | 14% | 34% | 36% | 12% |
57 | DENEALE Lucia | 2% | 13% | 31% | 34% | 17% | 3% | |
58 | ZOGRAFOS Marina | 53% | 36% | 9% | 1% | - | - | - |
59 | WU Jessica | - | 4% | 15% | 28% | 31% | 18% | 4% |
60 | HE Anna | 10% | 31% | 36% | 19% | 5% | 1% | - |
61 | MIYOSHI Kylie | - | 4% | 15% | 31% | 33% | 16% | 2% |
62 | RAMEY Alexa | 1% | 10% | 28% | 34% | 20% | 5% | 1% |
63 | KOSIM Irene | 7% | 26% | 36% | 23% | 7% | 1% | - |
64 | DAI Chenxi | 3% | 17% | 33% | 30% | 14% | 3% | - |
65 | WANG Chloe | 13% | 34% | 33% | 16% | 4% | - | - |
66 | SHEN Jiaxin | 3% | 17% | 34% | 31% | 13% | 2% | - |
67 | YU Chloe | 6% | 23% | 35% | 26% | 9% | 1% | |
68 | WANG Nicole | - | < 1% | 1% | 9% | 27% | 41% | 22% |
69 | ZHAO Emma | 1% | 5% | 17% | 30% | 29% | 15% | 3% |
70 | CARCELLER Bernardita | 6% | 30% | 38% | 20% | 5% | 1% | - |
70 | TORRES RAVELO Zoe | 4% | 17% | 31% | 29% | 15% | 4% | - |
72 | CHON SUBIN | 7% | 24% | 35% | 24% | 8% | 1% | - |
73 | MIAO Anthea | 31% | 42% | 21% | 5% | 1% | - | - |
74 | HE Elsa | 30% | 41% | 23% | 6% | 1% | - | |
75 | KOU Cynthia | 9% | 29% | 34% | 20% | 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.