Minneapolis, MN, 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 | LIU Joy Zhaoyi | - | - | - | 1% | 10% | 37% | 51% |
2 | TAN Kaitlyn N. | - | - | - | - | 3% | 26% | 71% |
3 | FEDELI Caterina S. | - | - | - | - | 1% | 13% | 87% |
3 | WANG Zoie Z. | - | - | 1% | 11% | 38% | 46% | 4% |
5 | DOROSHKEVICH Taisiia | - | - | - | 4% | 18% | 42% | 36% |
6 | SEO IRENE Y. | - | - | - | 7% | 29% | 45% | 19% |
7 | GEBALA Gabrielle Grace A. | - | - | - | - | 1% | 14% | 85% |
8 | YAO Ada | - | 6% | 22% | 36% | 27% | 8% | 1% |
9 | CALISE Ella | - | - | 1% | 9% | 30% | 42% | 18% |
10 | VO Bao-Vy | - | 1% | 8% | 33% | 39% | 17% | 3% |
11 | LIN Zhi tong | - | - | 1% | 12% | 37% | 39% | 11% |
12 | GOOR Viviene E. | - | - | - | 3% | 17% | 41% | 38% |
13 | CHEN Chloe I. | - | - | 5% | 19% | 37% | 31% | 8% |
14 | MU Allison | 1% | 10% | 28% | 34% | 20% | 5% | - |
15 | KIM Rachel | - | - | 3% | 21% | 42% | 28% | 6% |
16 | MANIKTALA Prisha | - | - | 3% | 16% | 38% | 35% | 8% |
17 | YANG Iris | - | - | - | 1% | 13% | 42% | 44% |
18 | LEE Lavender | - | - | - | 1% | 10% | 38% | 50% |
19 | CHO Rebecca H. | - | - | 1% | 10% | 37% | 51% | |
20 | LI Sophia M. | - | 1% | 10% | 33% | 40% | 16% | |
21 | PEVZNER Nicole | 1% | 14% | 35% | 34% | 14% | 2% | - |
22 | CHO Emily (Euran) | 2% | 31% | 42% | 21% | 4% | < 1% | - |
23 | PAULUS Sloane | 1% | 10% | 29% | 36% | 20% | 4% | - |
24 | CHEN Renee | - | 4% | 21% | 40% | 28% | 6% | |
25 | LIU Jaelyn A. | - | - | - | - | 4% | 29% | 66% |
26 | GU Maggie Runlin | - | 1% | 7% | 26% | 41% | 23% | 2% |
27 | BIODROWICZ Julia | - | - | 6% | 24% | 39% | 25% | 4% |
28 | REN Kayley | - | 2% | 15% | 36% | 36% | 11% | - |
29 | MI Aileen | - | - | 5% | 23% | 44% | 28% | |
30 | LEUNG Mei Hang (Danise) | - | - | 1% | 9% | 29% | 41% | 21% |
31 | TSIMIKLIS aphrodite | 8% | 31% | 38% | 18% | 4% | - | - |
32 | SUN Emily | 4% | 20% | 36% | 29% | 10% | 1% | |
33 | SONG Yuqiao Aprille | - | - | 1% | 6% | 26% | 45% | 22% |
34 | ZHANG Selena | 2% | 13% | 31% | 33% | 17% | 4% | - |
35 | LIU Angel(Daying) | - | - | 2% | 11% | 30% | 39% | 19% |
36 | ORVANANOS Anice | - | - | - | 4% | 20% | 45% | 31% |
37 | ZHANG Eunice | - | - | 3% | 18% | 41% | 31% | 7% |
38 | CASTANEDA Keira | - | 3% | 13% | 31% | 34% | 16% | 3% |
39 | YANG Emma | - | 6% | 23% | 37% | 26% | 7% | - |
40 | MCSHERRY Ava | - | 2% | 11% | 30% | 38% | 19% | 1% |
41 | SHA Yi Ling | - | 1% | 11% | 31% | 37% | 18% | 2% |
42 | NISSINOFF Alexandra | - | 1% | 5% | 18% | 34% | 32% | 10% |
43 | BOLES Amanda X. | - | 6% | 27% | 40% | 23% | 5% | - |
44 | HAN Ashley | 2% | 11% | 27% | 34% | 20% | 6% | 1% |
45 | WANG Jasmine | - | 2% | 14% | 34% | 35% | 14% | 1% |
46 | DAI Zizhuo (Zizi) | - | 5% | 26% | 39% | 24% | 6% | - |
47 | YANG Audrey | - | 8% | 30% | 39% | 20% | 4% | - |
48 | SHEN Emilia | 5% | 21% | 36% | 28% | 10% | 1% | |
49 | YAN Noelle | 1% | 9% | 32% | 38% | 17% | 3% | - |
50 | HSU Kaylin | - | 3% | 16% | 35% | 34% | 12% | - |
51 | SUN Chloe | - | - | 6% | 24% | 41% | 25% | 3% |
52 | LI Eleanor | 8% | 30% | 39% | 19% | 4% | - | - |
53 | HAN Crystal | - | 2% | 13% | 35% | 36% | 13% | 1% |
54 | BEAVER Ava | - | 4% | 22% | 43% | 25% | 6% | - |
55 | ZHENG Julie | - | - | 3% | 17% | 39% | 35% | 6% |
56 | HU Felice | - | 2% | 14% | 34% | 35% | 14% | 2% |
57 | BURBERRY Livia | 4% | 24% | 41% | 25% | 6% | - | |
58 | FENG Grace | 4% | 21% | 36% | 28% | 10% | 1% | |
59 | FETECAU Ilinca | - | 9% | 31% | 38% | 19% | 3% | - |
60 | OH Ceana | 3% | 19% | 37% | 29% | 11% | 2% | - |
61 | CHANG Elizabeth | - | 1% | 7% | 24% | 37% | 25% | 6% |
61 | SHIM Grace J. | - | 2% | 11% | 29% | 36% | 19% | 3% |
63 | PENG Serena | 3% | 15% | 33% | 33% | 15% | 2% | |
64 | LIU Enjia sherry | - | 2% | 14% | 35% | 35% | 13% | 2% |
65 | SAIFEE Lamya | 16% | 37% | 32% | 13% | 2% | - | |
66 | WANG SIQI | - | 3% | 15% | 35% | 33% | 12% | 1% |
67 | CHOW Annabelle | - | - | - | 4% | 20% | 44% | 32% |
68 | LAI Sophia | - | 4% | 18% | 37% | 30% | 10% | 1% |
69 | KO Claire | 1% | 8% | 25% | 35% | 23% | 7% | 1% |
70 | SWANSON Alexa | 1% | 8% | 28% | 37% | 21% | 5% | - |
71 | ZHANG Soleil C. | - | 3% | 19% | 38% | 30% | 9% | 1% |
72 | WANG Sophia | 2% | 30% | 47% | 18% | 3% | - | - |
73 | TANG Melody Fujiao | 8% | 31% | 38% | 18% | 4% | - | - |
74 | ZHANG Ivy | 38% | 42% | 17% | 3% | - | - | - |
75 | PENG Charlotte | 1% | 11% | 32% | 37% | 17% | 2% | - |
76 | YU Jane | 11% | 44% | 34% | 10% | 1% | - | - |
77 | LENK Sophie | 6% | 32% | 39% | 19% | 4% | - | - |
78 | LUO Miranda | 6% | 26% | 37% | 24% | 7% | 1% | - |
79 | GAO Anne | 3% | 23% | 44% | 25% | 5% | - | - |
80 | VANMOORSEL Faye | 29% | 44% | 22% | 5% | - | - | - |
81 | ZHENG Zoe | 10% | 34% | 35% | 17% | 4% | - | - |
82 | DONG Angela | 42% | 42% | 14% | 2% | - | - | |
83 | TUAN Sophie | 34% | 43% | 19% | 4% | - | - | - |
84 | ZELDIN Nadia | 28% | 43% | 23% | 5% | 1% | - | - |
85 | GOEL Riyana | 65% | 31% | 4% | - | - | - | - |
86 | DESAI Esha | 10% | 44% | 36% | 9% | 1% | - | - |
87 | JIANG Chloe | 24% | 43% | 26% | 7% | 1% | - | - |
88 | WYNN Kylie | 3% | 18% | 37% | 31% | 10% | 1% | - |
89 | SMITH Taylor | 12% | 31% | 33% | 18% | 6% | 1% | - |
90 | ZHANG Alina | 17% | 41% | 31% | 9% | 1% | - | - |
91 | BULLARD Sydney | 7% | 44% | 40% | 9% | 1% | - | - |
92 | HAFEZ Tahiyah | 1% | 11% | 29% | 35% | 19% | 5% | - |
93 | LUH Mia P. | 11% | 38% | 36% | 13% | 2% | - | |
94 | DESERANNO Seren | 12% | 37% | 35% | 13% | 2% | - | - |
95 | CROMWELL Keira | 9% | 33% | 37% | 17% | 4% | - | - |
95 | BERGEL Daphne | 12% | 49% | 30% | 7% | 1% | - | - |
97 | SOLOMIE Sabina | 24% | 45% | 25% | 6% | 1% | - | - |
98 | CHOI Sophie | 88% | 12% | 1% | - | - | - | - |
98 | PU claire | 29% | 42% | 23% | 6% | 1% | - | - |
100 | SHUSTA Lily | 59% | 34% | 7% | 1% | - | - | - |
101 | MADSEN Lindsey | 62% | 32% | 5% | - | - | - | - |
102 | WANG hannah | 77% | 21% | 1% | - | - | - | - |
103 | KANG Marian | 62% | 33% | 5% | - | - | - | - |
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.