The Athletico Center - Northbrook, IL, 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 | TANG Melody Fujiao | - | - | - | - | 3% | 26% | 70% |
2 | YIN Chloe | - | 4% | 19% | 38% | 31% | 8% | |
3 | SWOPE Farren | - | - | 4% | 17% | 35% | 33% | 11% |
3 | FENG Audrey | - | - | - | - | 3% | 26% | 70% |
5 | POEI Lauren | - | - | 1% | 4% | 19% | 41% | 36% |
6 | WATSON Evelyn | - | - | 3% | 15% | 38% | 38% | 6% |
7 | KOU Elisha | - | 4% | 19% | 35% | 29% | 11% | 1% |
8 | PAN Yiran | 1% | 12% | 33% | 35% | 16% | 3% | |
9 | BOIKE Lucille | 1% | 6% | 23% | 36% | 27% | 7% | |
10 | NEUMANN Erika | - | 2% | 11% | 33% | 38% | 14% | 1% |
11 | LI Alice | - | - | 1% | 8% | 25% | 40% | 26% |
12 | DAI Iris Yuyang | - | 2% | 12% | 28% | 34% | 19% | 4% |
13 | GE Lena Lan | - | 5% | 22% | 39% | 27% | 6% | |
14 | KNAPP Isabella | 1% | 7% | 23% | 36% | 26% | 7% | |
15 | FRASER Morgan | 1% | 7% | 25% | 38% | 24% | 5% | |
16 | TELEB Farida | 3% | 16% | 33% | 32% | 14% | 2% | |
17 | BING Charlotte | - | - | - | 1% | 9% | 36% | 53% |
18 | TAN Dorathy | - | - | 3% | 16% | 35% | 33% | 12% |
19 | ZEE Savannah | - | 2% | 12% | 34% | 38% | 14% | |
20 | CHOI Cara | 20% | 41% | 29% | 9% | 1% | - | |
21 | HU Sophie | 1% | 12% | 32% | 35% | 17% | 3% | |
22 | LIN Allison | - | 5% | 22% | 38% | 27% | 7% | - |
23 | HUANG Natalie | - | 1% | 6% | 23% | 39% | 26% | 4% |
24 | LEE Jeemin | - | - | 2% | 14% | 39% | 38% | 6% |
25 | HARRIS Parker | 1% | 9% | 25% | 34% | 23% | 7% | 1% |
26 | ZOLDAN Nolabelle | 11% | 36% | 36% | 14% | 2% | - | |
27 | ORBÉ-AUSTIN Maya | - | 2% | 11% | 30% | 39% | 18% | |
28 | BO Iris | 3% | 22% | 38% | 27% | 9% | 1% | |
29 | MUMMANENI Samyuta | - | - | 3% | 18% | 42% | 36% | |
30 | DONG Iris | - | - | 4% | 17% | 35% | 33% | 11% |
31 | LIN Kenzie | - | 4% | 20% | 39% | 29% | 7% | - |
32 | ZHANG Priscilla | 1% | 7% | 26% | 38% | 23% | 5% | - |
33 | NWODO Naila | - | 2% | 13% | 33% | 35% | 15% | 2% |
34 | RIVERA Leahy | 7% | 27% | 36% | 22% | 6% | 1% | |
35 | HAN Gian | - | 1% | 7% | 27% | 42% | 23% | |
36 | LICHTENSTEIGER Megan | - | 3% | 16% | 34% | 34% | 13% | |
37 | SHAOOLIAN Maya | 2% | 11% | 28% | 34% | 20% | 6% | 1% |
38 | GOITIA Genevieve | 4% | 20% | 35% | 28% | 12% | 2% | - |
39 | CHANG Olivia | - | 5% | 22% | 38% | 27% | 8% | 1% |
40 | HO Peyton | 20% | 39% | 29% | 10% | 2% | - | - |
41 | DESERANNO Seren | 1% | 5% | 19% | 33% | 29% | 12% | 2% |
42 | TAO Isabella | - | 4% | 16% | 32% | 32% | 15% | 2% |
43 | HOROWITZ Shuli | - | 4% | 15% | 31% | 32% | 15% | 3% |
44 | VENZON Makena Jane | 4% | 23% | 39% | 26% | 7% | 1% | |
45 | OS Danielle | - | 4% | 16% | 32% | 31% | 14% | 2% |
46 | HUSSIAN Annabelle | 1% | 8% | 25% | 34% | 23% | 7% | 1% |
47 | KUANG Xiyan | 1% | 7% | 27% | 37% | 22% | 5% | - |
48 | DUVVA Sanika | 1% | 11% | 32% | 36% | 17% | 3% | - |
49 | SUN Nicole | 20% | 44% | 27% | 7% | 1% | - | - |
50 | YOUM Amelia | 7% | 30% | 39% | 19% | 4% | - | - |
51 | HUFFMAN Yunia | 11% | 35% | 35% | 15% | 3% | - | - |
52 | KOESTERS Cecilie | 17% | 41% | 31% | 9% | 1% | - | - |
53 | BLAKEY Heaven | - | 3% | 14% | 34% | 36% | 13% | |
54 | PAEK Mila | 59% | 33% | 7% | 1% | - | - | |
55 | SAMALA Reese | 11% | 34% | 36% | 16% | 3% | - | |
56 | CHUNG Stella | 13% | 34% | 33% | 15% | 4% | - | - |
57 | YU Angela | 13% | 38% | 34% | 13% | 2% | - | - |
58 | KOESTERS Florentine | 39% | 41% | 17% | 3% | - | - | - |
59 | SUN Erin | 29% | 43% | 22% | 5% | 1% | - | - |
60 | SHAOOLIAN Alexa | 8% | 30% | 37% | 19% | 4% | - | |
60 | KIM Alison | 25% | 41% | 25% | 8% | 1% | - | |
62 | REDEMANN Reagan | 34% | 43% | 19% | 4% | - | - | |
63 | UTIN Alexandra | 5% | 23% | 37% | 25% | 8% | 1% | - |
64 | ZHOU Jolena | 25% | 44% | 25% | 5% | - | - | - |
65 | LINSON Anya | 39% | 45% | 14% | 2% | - | - | - |
66 | OWENS Genevieve | 37% | 43% | 16% | 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.