Meadowlands Exposition 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 | GEBALA Gabrielle Grace A. | - | - | - | - | 1% | 14% | 86% |
2 | LIU Jaelyn A. | - | - | - | 1% | 8% | 35% | 56% |
3 | SEO Irene Y. | - | - | - | 1% | 12% | 40% | 47% |
3 | ORVANANOS Anice | - | - | 1% | 6% | 23% | 43% | 28% |
5 | GOOR Viviene E. | - | - | 2% | 14% | 44% | 40% | |
6 | NISSINOFF Alexandra | - | - | 1% | 9% | 45% | 45% | |
7 | TAN Kaitlyn N. | - | - | - | - | 3% | 28% | 68% |
7 | AMR HOSSNY Sara | - | - | - | 1% | 6% | 32% | 61% |
9 | CHOW Annabelle | - | 1% | 7% | 28% | 46% | 19% | |
10 | ZHENG Julie | - | - | 5% | 26% | 52% | 17% | |
11 | WANG Jasmine | - | 1% | 5% | 21% | 39% | 29% | 5% |
12 | WANG Zoie Z. | - | - | 1% | 8% | 35% | 46% | 10% |
13 | MI Aileen | - | 4% | 18% | 34% | 31% | 12% | 1% |
14 | CHO Rebecca H. | - | - | - | 6% | 36% | 58% | |
15 | SHMAY Anastasia | - | 1% | 7% | 33% | 43% | 15% | 1% |
16 | CASCONE Emily | - | - | 3% | 15% | 35% | 36% | 12% |
17 | CHEN Chloe I. | - | - | 1% | 14% | 43% | 39% | 3% |
17 | CHEN Renee | - | 1% | 7% | 24% | 38% | 25% | 5% |
19 | LEE Lavender | - | - | 2% | 13% | 43% | 42% | |
20 | CHANG Elizabeth | - | - | 2% | 15% | 52% | 31% | |
21 | HAN Crystal | - | - | 5% | 28% | 47% | 20% | |
22 | YAN Noelle | - | 4% | 19% | 36% | 30% | 10% | 1% |
23 | MANIKTALA Prisha | - | 1% | 9% | 30% | 39% | 19% | 3% |
24 | SHA Yi Ling | - | - | 3% | 17% | 39% | 34% | 8% |
25 | YANG Audrey | 3% | 21% | 40% | 29% | 6% | - | |
26 | CALISE Ella | - | 3% | 19% | 44% | 29% | 5% | |
27 | SHENG Chuxi | - | - | 6% | 30% | 45% | 19% | 1% |
28 | KUMAMOTO Shino | - | 2% | 11% | 29% | 36% | 20% | 3% |
29 | HAN Ashley | 1% | 6% | 22% | 36% | 26% | 8% | 1% |
30 | PAULUS Sloane | 4% | 23% | 43% | 26% | 4% | - | |
31 | SHEN Emilia | 1% | 19% | 41% | 31% | 8% | 1% | |
32 | YURKOVA Mariia | - | 1% | 10% | 39% | 38% | 11% | 1% |
33 | YANG Emma | 2% | 18% | 41% | 32% | 6% | - | |
34 | MCSHERRY Ava | 1% | 17% | 40% | 32% | 9% | 1% | |
35 | FENG Grace | 14% | 37% | 33% | 14% | 3% | - | - |
36 | ZELDIN Nadia | 2% | 23% | 50% | 21% | 3% | - | - |
37 | DAVIS Logan | - | 1% | 11% | 41% | 37% | 10% | - |
38 | DAI Zizhuo (Zizi) | 7% | 30% | 40% | 19% | 4% | - | - |
39 | HUBERT Ava Claire | 32% | 45% | 20% | 3% | - | - | - |
40 | CHOW Tessa | 2% | 13% | 32% | 34% | 16% | 3% | - |
41 | SHIM Grace | 3% | 19% | 35% | 29% | 12% | 2% | - |
42 | PEVZNER Nicole | 2% | 14% | 33% | 33% | 14% | 3% | - |
42 | SIROTA Francis | 3% | 18% | 35% | 30% | 12% | 2% | - |
44 | BROWN Lola | 12% | 40% | 38% | 9% | 1% | - | - |
45 | REN Kayley | 5% | 25% | 37% | 24% | 7% | 1% | - |
46 | LAI Sophia | 4% | 21% | 37% | 28% | 10% | 1% | - |
47 | HO Addison | 1% | 22% | 42% | 28% | 6% | - | |
48 | ZHOU Sophia | 8% | 34% | 42% | 15% | 2% | - | |
49 | WANG Jolie Z. | 13% | 38% | 35% | 12% | 1% | - | |
50 | KAPRAN Anastasia | 5% | 24% | 41% | 25% | 4% | - | |
51 | BADLANI Diya | 30% | 44% | 22% | 4% | - | - | |
52 | WANG Sunny | 16% | 44% | 32% | 7% | 1% | - | |
53 | YU Jane | 38% | 44% | 16% | 2% | - | - | |
54 | MCSHERRY Emma | 18% | 42% | 31% | 8% | 1% | - | |
55 | GAO Anne | 15% | 40% | 33% | 10% | 1% | - | - |
56 | SINGH Arsh | 32% | 46% | 20% | 3% | - | - | - |
57 | LICHTENSTEIGER Megan | - | 2% | 14% | 35% | 34% | 13% | 2% |
58 | LI Han | 19% | 47% | 30% | 5% | - | - | - |
59 | MCFARLANE Asha | 29% | 44% | 22% | 5% | 1% | - | - |
60 | HAN Mia | 17% | 54% | 26% | 3% | - | - | - |
61 | WANG Carol | 32% | 46% | 20% | 3% | - | - | |
62 | WANG Sabrina | 34% | 42% | 19% | 4% | - | - | - |
63 | SHENG Katherine | 44% | 40% | 14% | 2% | - | - | - |
64 | LI Eleanor | 80% | 18% | 1% | - | - | - | |
65 | JIN Amie | 60% | 34% | 5% | - | - | - | - |
66 | SOLOMIE Sabina | 1% | 7% | 25% | 36% | 24% | 7% | - |
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.