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 | BROWN Lola | - | - | - | 4% | 19% | 42% | 35% |
2 | PAULUS Sloane E. | - | - | - | - | 6% | 34% | 60% |
3 | DUAN Sophie | - | - | 2% | 12% | 31% | 38% | 17% |
3 | WANG CAROL | - | - | - | 1% | 9% | 37% | 54% |
5 | TANG Melody Fujiao | - | - | - | 3% | 15% | 40% | 42% |
6 | YACOBUCCI Nadia | - | - | 4% | 18% | 39% | 33% | 7% |
7 | ORRINGER Lottie | 1% | 5% | 20% | 35% | 28% | 10% | 1% |
8 | MUMMANENI Samyuta | - | 2% | 10% | 28% | 36% | 21% | 4% |
9 | KHAN Leena | 1% | 13% | 38% | 37% | 10% | 1% | |
10 | WANG Emma | 1% | 6% | 20% | 33% | 28% | 11% | 1% |
11 | MAGALLANES GABRIELA | - | - | 2% | 13% | 38% | 39% | 8% |
12 | CULLIVAN Sienna | - | - | 4% | 22% | 49% | 25% | |
13 | AADHI Hansika | - | 1% | 5% | 23% | 43% | 25% | 3% |
14 | ZOLDAN Gweniveve A. | 1% | 11% | 31% | 34% | 18% | 4% | - |
15 | WYNN Kylie | - | - | 1% | 7% | 24% | 40% | 28% |
16 | SHAOOLIAN Maya | 1% | 13% | 35% | 34% | 14% | 2% | - |
17 | HAFEZ Tahiyah | - | - | 1% | 9% | 28% | 40% | 21% |
18 | WANG Sophia | - | 1% | 5% | 21% | 42% | 31% | |
19 | BLAKEY Heaven | - | 2% | 11% | 29% | 36% | 19% | 4% |
20 | TAN Dorathy | - | 2% | 11% | 28% | 35% | 20% | 3% |
21 | CASHMAN Hailey | - | - | 6% | 28% | 45% | 21% | |
22 | LEE Jeemin | 1% | 10% | 31% | 39% | 18% | 2% | |
23 | LI Joy | - | 1% | 10% | 30% | 38% | 18% | 2% |
23 | WU Elynna | 1% | 10% | 27% | 35% | 21% | 6% | 1% |
25 | WANG DINA C. | - | 1% | 12% | 39% | 37% | 11% | |
26 | SWOPE Farren | - | - | 2% | 12% | 31% | 38% | 16% |
27 | LICHTENSTEIGER Megan | - | 1% | 6% | 21% | 37% | 28% | 7% |
28 | TEPMAN Alexandra D. | 1% | 7% | 23% | 34% | 25% | 8% | 1% |
29 | LIN Kenzie | 2% | 15% | 33% | 32% | 15% | 3% | - |
30 | GE Lena Lan | 4% | 33% | 42% | 18% | 3% | - | |
31 | CROMWELL Keira | - | 4% | 17% | 34% | 31% | 13% | 2% |
32 | SHEBL Nadia | 2% | 14% | 36% | 35% | 11% | 1% | - |
33 | HAN Gian | - | - | 4% | 23% | 46% | 27% | |
34 | OROPEZA tamara | - | 1% | 7% | 22% | 36% | 27% | 7% |
35 | WATSON Evelyn | 14% | 42% | 34% | 9% | 1% | - | |
36 | FIELD Elizabeth | - | - | 2% | 14% | 44% | 40% | |
37 | DESERANNO Seren | - | 1% | 8% | 24% | 36% | 25% | 6% |
38 | LEVY Gabrielle | 2% | 15% | 34% | 32% | 14% | 3% | - |
39 | ADLER Zoe | - | 4% | 17% | 33% | 31% | 13% | 2% |
40 | HUSSIAN Annabelle | 1% | 9% | 26% | 34% | 22% | 7% | 1% |
41 | MCDANIEL Laila | 13% | 33% | 33% | 16% | 4% | 1% | - |
42 | HOROWITZ Shuli | 11% | 33% | 35% | 17% | 4% | - | - |
43 | OS Danielle | 1% | 8% | 27% | 39% | 22% | 4% | |
44 | HUANG Natalie | 6% | 26% | 38% | 24% | 7% | 1% | |
45 | SHTEPA Rada | 3% | 16% | 33% | 31% | 14% | 3% | - |
46 | WANG Doreen | 4% | 24% | 40% | 26% | 6% | - | - |
47 | ZHANG Queeny | 60% | 34% | 6% | - | - | - | - |
48 | ZHOU Joi | 9% | 28% | 35% | 21% | 7% | 1% | - |
49 | LIN Allison | 13% | 35% | 34% | 15% | 3% | - | - |
50 | SANCHEZ Viviana | - | 5% | 20% | 35% | 28% | 10% | 1% |
51 | LINQUIST Jane | 13% | 35% | 35% | 15% | 3% | - | - |
52 | HAFEZ Sahar | 3% | 16% | 35% | 32% | 13% | 2% | |
53 | KIM Natalie | 30% | 42% | 22% | 6% | 1% | - | |
54 | FECHER Lily | 2% | 20% | 42% | 29% | 7% | - | |
55 | BRUNDIN Olivia | 51% | 40% | 8% | 1% | - | - | |
56 | SHUSTA Lily | 9% | 29% | 35% | 20% | 6% | 1% | - |
57 | MALONE Ella | - | 4% | 22% | 39% | 27% | 7% | - |
58 | CLEMMER-BECHT Elise | 15% | 36% | 32% | 14% | 3% | - | - |
59 | SALMI-BYDALEK Ada | 8% | 34% | 36% | 17% | 4% | - | - |
60 | KIM Alison | 47% | 39% | 12% | 2% | - | - | - |
60 | FORT Eliana | 3% | 16% | 31% | 31% | 15% | 4% | - |
62 | CHAN Macie | 1% | 33% | 52% | 13% | 1% | - | |
63 | HUFFMAN Yunia | 23% | 41% | 27% | 8% | 1% | - | - |
64 | DINH May | 26% | 42% | 25% | 7% | 1% | - | - |
65 | JEANBAPTISTE Lauren | 9% | 41% | 36% | 12% | 2% | - | - |
66 | WILLIAMS Olivia | 30% | 45% | 21% | 4% | - | - | - |
67 | OWENS Genevieve | 69% | 27% | 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.