Meadowlands Expo Center - Secaucus, NJ, 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 | GOOR Viviene E. | - | - | - | - | 3% | 28% | 69% |
2 | DOROSHKEVICH Taisiia | - | - | - | 1% | 8% | 42% | 49% |
3 | YANG Iris | - | - | - | 5% | 25% | 53% | 17% |
3 | AMR HOSSNY Sara | - | - | - | - | - | 9% | 90% |
5 | LEE Lavender | - | - | - | 1% | 9% | 40% | 51% |
6 | FEDELI Caterina S. | - | - | - | - | - | 8% | 91% |
7 | MANIKTALA Prisha | - | - | 1% | 5% | 23% | 43% | 28% |
8 | CASCONE Emily | - | - | 1% | 8% | 37% | 54% | |
9 | SONG Yuqiao A. | - | - | - | 6% | 34% | 60% | |
10 | KAPUSTINA Arina | - | - | 1% | 6% | 27% | 49% | 18% |
11 | JOO Natalie | - | - | 1% | 10% | 31% | 40% | 17% |
12 | MCSHERRY Ava | - | 2% | 15% | 46% | 32% | 5% | |
13 | DAI Zizhuo (Zizi) | - | 1% | 9% | 29% | 40% | 20% | 1% |
14 | SIROTA Francis | - | 3% | 18% | 37% | 31% | 10% | 1% |
15 | SHEN Emilia | - | 2% | 12% | 31% | 37% | 17% | - |
16 | LIU Enjia sherry | - | 1% | 6% | 22% | 38% | 26% | 6% |
17 | GU Maggie Runlin | - | - | - | 4% | 18% | 41% | 36% |
18 | SHIM Grace | - | - | 3% | 14% | 35% | 36% | 12% |
19 | XIE Lillian | - | 1% | 14% | 43% | 35% | 7% | |
20 | PEVZNER Nicole | - | - | 4% | 19% | 39% | 31% | 8% |
21 | WANG Sabrina | - | 2% | 17% | 39% | 33% | 9% | 1% |
22 | FENG Grace | - | 7% | 27% | 39% | 22% | 4% | - |
23 | HAO Danica | 2% | 13% | 33% | 35% | 15% | 3% | - |
24 | BERGEL Daphne | 3% | 21% | 40% | 28% | 8% | 1% | - |
25 | YANG Emma | - | 2% | 11% | 31% | 38% | 17% | - |
25 | BROWN Lola | - | 5% | 26% | 39% | 23% | 6% | 1% |
27 | YURKOVA Mariia | - | 1% | 7% | 36% | 45% | 11% | |
28 | REN Kayley | 1% | 7% | 24% | 37% | 25% | 7% | - |
29 | WANG Amabel | - | 6% | 30% | 39% | 20% | 4% | - |
30 | FIELD Elizabeth | - | - | 1% | 11% | 36% | 43% | 8% |
31 | PARK Lina | - | 1% | 10% | 40% | 41% | 9% | |
32 | WANG Jolie Z. | - | 11% | 34% | 36% | 15% | 2% | - |
33 | CULLIVAN Sienna | - | - | 1% | 9% | 30% | 41% | 19% |
34 | KUMAMOTO Shino | - | - | - | 3% | 20% | 52% | 25% |
35 | PAULUS Sloane | 2% | 16% | 34% | 32% | 14% | 2% | - |
36 | WANG CAROL | - | 3% | 20% | 41% | 29% | 7% | - |
37 | ZELDIN Nadia | - | 7% | 32% | 40% | 18% | 3% | - |
38 | DENG Melissa | 2% | 21% | 40% | 28% | 8% | 1% | - |
39 | YU Jane | 5% | 24% | 38% | 25% | 7% | 1% | - |
40 | TSIMIKLIS aphrodite | 1% | 7% | 25% | 37% | 24% | 6% | - |
41 | BRAVO ORTEGA Astrid | 5% | 25% | 37% | 24% | 7% | 1% | - |
42 | TANG Melody Fujiao | 1% | 22% | 40% | 28% | 8% | 1% | - |
43 | LI Han | 11% | 42% | 34% | 11% | 2% | - | - |
44 | WANG Sophia | 1% | 10% | 48% | 33% | 7% | - | |
45 | JIN Amie | 43% | 49% | 8% | - | - | - | |
46 | LI Beryl | 48% | 41% | 10% | 1% | - | - | |
47 | SHENG Katherine | 1% | 12% | 34% | 37% | 15% | 2% | - |
48 | LIU Caydence | - | 3% | 18% | 38% | 32% | 8% | 1% |
49 | CHANG Victoria | 52% | 38% | 9% | 1% | - | - | - |
50 | GAO Anne | 7% | 28% | 37% | 22% | 6% | 1% | - |
51 | BADLANI Diya | 7% | 35% | 44% | 13% | 1% | - | |
52 | MCFARLANE Asha | 33% | 42% | 20% | 4% | - | - | - |
53 | WANG Sunny | 3% | 21% | 38% | 28% | 9% | 1% | - |
54 | HAFEZ Tahiyah | - | 5% | 24% | 39% | 25% | 6% | - |
55 | DESERANNO Seren | - | 7% | 27% | 39% | 23% | 4% | - |
56 | REZA Fukaina | 24% | 41% | 26% | 8% | 1% | - | - |
57 | KAPRAN Anastasia | - | 5% | 20% | 36% | 29% | 9% | - |
58 | JIN Sophie | 48% | 41% | 10% | 1% | - | - | - |
59 | LI Joy | 11% | 52% | 30% | 7% | 1% | - | - |
60 | WANG DINA C. | 14% | 45% | 34% | 7% | - | - | |
61 | LI Savannah | 39% | 50% | 10% | 1% | - | - | |
62 | FEDER Acadia | 42% | 41% | 15% | 2% | - | - | - |
63 | BABAYEV Aria | 24% | 54% | 19% | 3% | - | - | - |
64 | DIMATULAC Elise Ann | 65% | 29% | 5% | - | - | - | - |
65 | BO Iris | 74% | 24% | 2% | - | - | - | - |
66 | PARK Zena | 1% | 10% | 32% | 38% | 17% | 3% | - |
67 | KIM Sophia | 13% | 36% | 34% | 14% | 3% | - | - |
67 | CAVANAGH Emma | 85% | 14% | 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.