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 | MUND Ruth | - | 3% | 14% | 33% | 35% | 15% | |
2 | XIAO julie | - | - | 1% | 6% | 22% | 41% | 30% |
3 | TSUI Natalie | - | - | 3% | 15% | 33% | 35% | 14% |
3 | ZENG Sarah | - | 4% | 16% | 32% | 31% | 15% | 3% |
5 | CHIARELLI Valentina | - | - | 2% | 11% | 32% | 40% | 14% |
6 | SENOGLU Irmak | - | 1% | 6% | 20% | 33% | 29% | 10% |
7 | MAKLIN Sofia | - | - | 3% | 13% | 31% | 36% | 17% |
8 | GOLDIN Nina | 6% | 24% | 36% | 25% | 8% | 1% | |
9 | KONDEV Elizabeth | 2% | 13% | 30% | 33% | 18% | 4% | |
10 | TABANGAY Heartlyn | - | - | - | 2% | 13% | 39% | 45% |
11 | SCHMIDT Isabel | - | - | 2% | 12% | 31% | 38% | 16% |
12 | LIU Yifei | - | 1% | 7% | 21% | 34% | 28% | 9% |
13 | JEONG Katie | - | - | - | 4% | 21% | 46% | 29% |
14 | YOUNG Charlotte G. | - | 2% | 11% | 28% | 34% | 20% | 4% |
15 | VINOGOROVA Sofiia | - | 2% | 10% | 26% | 35% | 22% | 5% |
16 | LEMUS-IAKOVIDOU ALEXANDRA | 1% | 8% | 25% | 36% | 24% | 6% | |
17 | WEI JoyAnn | - | 2% | 11% | 26% | 34% | 22% | 5% |
18 | SO Catelyn | - | 3% | 15% | 32% | 35% | 15% | |
19 | BUHAY Kirsten M. | 2% | 12% | 30% | 34% | 18% | 4% | |
20 | DIECK Miranda P. | 3% | 17% | 33% | 30% | 14% | 3% | - |
21 | YU Zhiang | - | 1% | 8% | 24% | 35% | 24% | 6% |
22 | PABIAN Emilia | - | 1% | 11% | 32% | 38% | 16% | 2% |
23 | MERCHANT Aishwarya | 1% | 6% | 20% | 32% | 28% | 12% | 2% |
24 | ZHANG XUANYI | - | - | - | 2% | 14% | 42% | 41% |
25 | KINKADE Ellie | 1% | 6% | 20% | 33% | 28% | 11% | 1% |
26 | MALEK Zolie | 2% | 14% | 32% | 33% | 16% | 3% | |
27 | HUAI Delilah | 1% | 7% | 23% | 35% | 27% | 8% | |
28 | KNOBEL Sophia | 1% | 10% | 27% | 35% | 21% | 5% | - |
29 | MCKEE Brynnley | - | - | 2% | 10% | 30% | 40% | 18% |
30 | DHAR Layla | 2% | 11% | 27% | 33% | 21% | 6% | 1% |
31 | LATYSHAVA Stephanie | 1% | 10% | 33% | 37% | 16% | 3% | - |
32 | FENG Alicia G. | 1% | 8% | 24% | 33% | 24% | 8% | 1% |
33 | BERMAN greta | - | 1% | 8% | 25% | 37% | 23% | 5% |
34 | MANN Sophia J. | 5% | 21% | 35% | 27% | 10% | 1% | |
35 | YOUNG Audrey | 1% | 5% | 18% | 31% | 29% | 13% | 2% |
36 | KHOST Maeve | 1% | 10% | 32% | 38% | 17% | 3% | - |
37 | KRIVOSHEEV Alexandra | - | - | - | 4% | 22% | 46% | 27% |
38 | MEDVINSKY Alexandra | - | 2% | 11% | 26% | 34% | 22% | 6% |
39 | HUANG Doris | 2% | 12% | 28% | 33% | 20% | 5% | - |
40 | BORGUETA Madison | 26% | 41% | 25% | 7% | 1% | - | |
41 | CHUNG Hailey | - | 1% | 5% | 18% | 35% | 31% | 10% |
42 | STONE Coral | 2% | 14% | 30% | 32% | 17% | 4% | - |
43 | LOO Kaitlyn | 1% | 8% | 24% | 34% | 24% | 8% | 1% |
44 | ZHOU Ruoxi ( Jasmine) | 3% | 18% | 34% | 30% | 12% | 2% | - |
45 | HAMMERSTROM Aria | 2% | 13% | 29% | 32% | 19% | 5% | - |
46 | DANTULURI Shalini | 5% | 22% | 36% | 26% | 9% | 1% | - |
47 | TAN Adelyn | 2% | 11% | 27% | 33% | 21% | 6% | 1% |
48 | LIU Sydney | - | 3% | 12% | 27% | 33% | 20% | 5% |
49 | FREEMAN Armine | 12% | 32% | 34% | 17% | 5% | 1% | - |
50 | HU Anna | 2% | 12% | 29% | 34% | 19% | 4% | - |
51 | HALPERIN Elizabeth H. | 14% | 34% | 33% | 15% | 4% | - | |
52 | SHI Julia | 1% | 9% | 26% | 35% | 23% | 5% | |
53 | LIM Jaslene | 1% | 6% | 20% | 35% | 29% | 9% | |
54 | LIN Nicole | 4% | 18% | 33% | 30% | 13% | 2% | |
55 | ZOLLER Noelle | 16% | 36% | 31% | 13% | 3% | - | |
56 | BUSH Bethany | 2% | 13% | 29% | 32% | 19% | 5% | - |
57 | DUDNICK Morgan | 8% | 27% | 36% | 22% | 6% | 1% | - |
58 | DHAR Rana | 16% | 36% | 31% | 13% | 3% | - | - |
59 | MOK Charlotte | - | 3% | 13% | 29% | 32% | 18% | 4% |
60 | LI Sonia | 6% | 22% | 33% | 26% | 11% | 2% | - |
61 | CHAVAN Arya | 8% | 28% | 35% | 21% | 6% | 1% | - |
62 | CHAN Jolene | 5% | 22% | 35% | 27% | 10% | 1% | |
63 | CHAN Madeleine V. | 14% | 35% | 32% | 14% | 3% | - | - |
64 | PANTALEON-MAZOLA Amari | 5% | 22% | 35% | 27% | 10% | 1% | |
65 | FERNANDEZ Martina | 1% | 9% | 26% | 35% | 22% | 6% | 1% |
66 | WANG Callie | 2% | 13% | 28% | 32% | 19% | 6% | 1% |
67 | CANSECO Carly | 1% | 7% | 22% | 34% | 26% | 9% | 1% |
68 | GUGALA Hanna | 3% | 17% | 34% | 30% | 13% | 3% | - |
69 | TURIANO Nadelle | 11% | 32% | 34% | 18% | 5% | 1% | - |
70 | SCHAIBLE Sofia L. | 4% | 21% | 35% | 27% | 10% | 2% | - |
71 | ZHANG Chenfei | 1% | 7% | 23% | 36% | 26% | 7% | |
72 | HO Sophia | 34% | 45% | 18% | 3% | - | - | - |
73 | CAO Sophie | 19% | 38% | 30% | 11% | 2% | - | - |
74 | KRASOWITZ Lucy | 13% | 34% | 33% | 16% | 4% | - | - |
75 | HAN Emma | 22% | 45% | 26% | 6% | 1% | - | - |
75 | TENG EMMA | 1% | 8% | 24% | 33% | 24% | 8% | 1% |
77 | LUKER Hannah | 12% | 34% | 34% | 16% | 3% | - | - |
78 | MEYERSON Michelle | 13% | 33% | 32% | 16% | 4% | 1% | - |
79 | WANG Jiayi | 38% | 40% | 17% | 4% | - | - | - |
80 | ZHANG Emily | 15% | 34% | 32% | 15% | 4% | - | - |
81 | ZAWADA Milena | 18% | 38% | 30% | 11% | 2% | - | - |
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.