Golisano Training Center at Nazareth University - Rochester, NY, 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 | LIN Alexis | - | - | 1% | 9% | 36% | 53% | |
2 | YANG Hannah | - | - | 1% | 6% | 23% | 42% | 29% |
3 | CHEN Madeline | - | - | - | 2% | 13% | 40% | 45% |
3 | VILLER Alice | - | - | 2% | 11% | 32% | 39% | 16% |
5 | ZHANG Ashley | - | 1% | 4% | 16% | 32% | 33% | 14% |
6 | HAN Emma | - | - | 1% | 10% | 37% | 52% | |
7 | XI Emily | - | 1% | 9% | 28% | 38% | 20% | 4% |
8 | BOBE Arianna | - | - | 2% | 17% | 49% | 31% | |
9 | FURMAN Elizabeth | - | - | 1% | 13% | 47% | 39% | |
10 | XIE ANDREA | - | 1% | 6% | 20% | 37% | 29% | 7% |
11 | DACKO Katarina | 1% | 5% | 17% | 31% | 30% | 15% | 3% |
12 | FAN Joy | - | - | 1% | 5% | 22% | 43% | 29% |
13 | YU Chloe | - | - | 2% | 9% | 27% | 39% | 23% |
14 | TANG Jacquelyn | 2% | 13% | 30% | 33% | 18% | 4% | - |
15 | WU Evelyn | - | 3% | 15% | 30% | 32% | 16% | 3% |
16 | TRIVULCE Scarlett | 3% | 18% | 36% | 30% | 11% | 1% | - |
17 | ZHU YUNXI | - | 3% | 16% | 36% | 35% | 10% | |
19 | REDWINE Louise | 1% | 8% | 25% | 34% | 23% | 8% | 1% |
20 | YIN Elaine | 1% | 8% | 28% | 38% | 22% | 3% | |
21 | ZHAO Rachel | 3% | 15% | 32% | 31% | 15% | 3% | - |
22 | FAYEZ Malika | - | - | 2% | 15% | 42% | 40% | |
23 | LIU Brinley | - | 1% | 7% | 22% | 36% | 28% | 6% |
24 | SIU Mila | 1% | 5% | 17% | 30% | 30% | 15% | 3% |
25 | NEGRUT Sabina | 11% | 33% | 34% | 17% | 4% | - | - |
26 | KIM Charlotte | 1% | 11% | 31% | 37% | 18% | 2% | |
27 | LI Kayla | 1% | 9% | 26% | 34% | 22% | 7% | 1% |
28 | LEE Zoe | 2% | 11% | 31% | 37% | 17% | 2% | |
29 | ERATA Selena | 2% | 18% | 40% | 32% | 7% | - | |
30 | ZHAO Crystal | 2% | 11% | 28% | 34% | 20% | 5% | - |
31 | GORDON Winter | 11% | 34% | 36% | 16% | 3% | - | |
32 | CHUNG Yenna | 5% | 20% | 33% | 27% | 12% | 3% | - |
33 | CHEN freya | - | 5% | 19% | 33% | 29% | 12% | 2% |
34 | WANG Hailie | 1% | 11% | 28% | 33% | 20% | 6% | 1% |
35 | SELASSIE Semara | 15% | 37% | 33% | 13% | 2% | - | |
36 | MAO Faith | 4% | 27% | 41% | 23% | 5% | - | |
37 | YUSHCHENKO Ivanka | 3% | 18% | 36% | 31% | 11% | 1% | |
38 | CHEN Reina | 2% | 11% | 27% | 32% | 20% | 7% | 1% |
39 | GURTIN Sasha | 12% | 31% | 33% | 18% | 5% | 1% | - |
40 | LI ELVA | 9% | 29% | 36% | 20% | 5% | 1% | - |
41 | LEE Iona | 1% | 11% | 33% | 37% | 16% | 2% | |
42 | ARONSON Marlie | 1% | 14% | 36% | 35% | 13% | 1% | |
43 | LEE Zerah | 9% | 36% | 39% | 15% | 2% | - | |
44 | KIM Abigail | - | 4% | 22% | 40% | 29% | 5% | |
45 | RYU Natalee | 1% | 11% | 30% | 35% | 18% | 4% | - |
46 | VILLER Gabriella | 31% | 41% | 21% | 6% | 1% | - | - |
47 | LOUGH Abbie | 65% | 30% | 5% | - | - | - | |
48 | WANG Katherine | 11% | 34% | 36% | 16% | 3% | - | |
49 | KAUR Harman | 47% | 40% | 12% | 1% | - | - | |
50 | ECCLESTONE Tara | 3% | 22% | 42% | 28% | 5% | - | |
51 | YOUNG Penelope | 1% | 7% | 23% | 34% | 25% | 9% | 1% |
52 | LIU Zoe | - | 4% | 19% | 35% | 30% | 11% | 1% |
53 | AINSWORTH Esme | 1% | 9% | 24% | 32% | 23% | 8% | 1% |
53 | XU Selina (Tai Ran) | 20% | 40% | 29% | 9% | 1% | - | - |
55 | CHOI Noah | 7% | 29% | 38% | 21% | 5% | - | |
56 | DOROSHKEVICH Maria | 15% | 36% | 32% | 14% | 3% | - | - |
57 | LIANG Kristy | 1% | 8% | 24% | 35% | 24% | 7% | 1% |
58 | WILLIAMS Valentina | 53% | 36% | 10% | 1% | - | - | - |
59 | MENG Yinuo | 8% | 30% | 37% | 20% | 5% | - | - |
60 | YOON Michelle | 35% | 42% | 19% | 4% | - | - |
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.