Greater Columbus Convention Center - Columbus, OH, 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 | CARCELLER Bernardita (Tini) | - | - | - | - | 6% | 33% | 60% |
2 | VIJAY Vaishnavi | - | - | - | 3% | 16% | 40% | 40% |
3 | WU Jessica | - | - | - | - | 5% | 29% | 66% |
3 | OLELE Ifechi | - | - | 1% | 6% | 23% | 41% | 29% |
5 | FU Shannon | - | - | - | 1% | 6% | 31% | 63% |
6 | MOKRETSOV Leah | - | 1% | 5% | 18% | 34% | 32% | 11% |
7 | XIONG Alice | - | 1% | 10% | 28% | 36% | 20% | 4% |
8 | FURMAN Elizabeth | - | 3% | 14% | 34% | 35% | 14% | 1% |
9 | LI Anna | - | - | 1% | 5% | 22% | 42% | 30% |
10 | YANG Hannah | - | 1% | 6% | 20% | 36% | 29% | 9% |
11 | XU Amy(Chenyu) | - | - | - | 1% | 15% | 66% | 17% |
12 | ARNOLD Evangeline | - | 3% | 13% | 30% | 34% | 18% | 3% |
13 | RAJ Indra | 2% | 10% | 26% | 32% | 22% | 7% | 1% |
14 | FAN Joy | - | 2% | 12% | 32% | 39% | 16% | |
15 | CHEN Laila | - | - | 4% | 16% | 34% | 33% | 12% |
16 | QIAO Lori-Ann | - | 4% | 14% | 29% | 31% | 17% | 4% |
17 | WANG Nicole | - | 1% | 6% | 19% | 33% | 30% | 11% |
18 | TAYLOR Reagan | - | 2% | 11% | 31% | 38% | 17% | |
19 | YIP Allison | 2% | 17% | 39% | 31% | 10% | 1% | - |
20 | CAYETANO Audrey | - | 1% | 5% | 19% | 36% | 31% | 9% |
21 | MEGGERS Arya | 1% | 6% | 19% | 33% | 29% | 12% | 1% |
22 | CHOI Arianna | - | 1% | 9% | 29% | 41% | 21% | |
23 | RAJPUT Mahek | 1% | 6% | 22% | 38% | 27% | 7% | |
24 | PEKKER Amina | 1% | 9% | 25% | 35% | 23% | 7% | - |
25 | VARIPILLI Aanya | - | 3% | 15% | 33% | 33% | 15% | 2% |
25 | QI Chelsie | - | - | 3% | 16% | 38% | 36% | 7% |
27 | YU Jiaming | - | 2% | 15% | 33% | 33% | 15% | 2% |
28 | MUKKU Emily | 5% | 21% | 35% | 27% | 10% | 2% | - |
29 | HAN Emma | 2% | 13% | 28% | 31% | 19% | 6% | 1% |
30 | NAZIR Farah | 3% | 15% | 30% | 31% | 17% | 4% | - |
31 | ZHANG Audrey | - | 3% | 14% | 31% | 32% | 16% | 3% |
32 | VILLER Alice | - | 5% | 20% | 38% | 29% | 8% | 1% |
33 | CHEN Madeline | - | - | 4% | 15% | 33% | 34% | 13% |
34 | KOU Cynthia | - | - | 1% | 4% | 18% | 40% | 36% |
35 | BUZZINI Julia | 3% | 17% | 34% | 31% | 13% | 2% | - |
36 | JUBILEE Beata | - | 1% | 4% | 16% | 33% | 33% | 13% |
37 | DEJOY Leilah | 1% | 8% | 22% | 32% | 25% | 10% | 2% |
38 | ZHAO Ellie | - | 3% | 15% | 34% | 35% | 13% | |
39 | TRIVULCE Scarlett | 8% | 27% | 34% | 22% | 7% | 1% | - |
40 | WANG Yvonne | - | 2% | 11% | 32% | 38% | 16% | 2% |
41 | GOFMAN Anastasia | - | - | 3% | 15% | 34% | 36% | 12% |
42 | XIE ANDREA | 1% | 7% | 24% | 38% | 25% | 5% | - |
43 | DAI Mina (Chenxi) | - | 4% | 15% | 30% | 31% | 16% | 3% |
44 | MIAO Anthea | 1% | 7% | 23% | 36% | 26% | 7% | 1% |
45 | YU Chloe | - | 1% | 7% | 20% | 33% | 29% | 10% |
46 | LIN Gianna | 4% | 20% | 36% | 29% | 10% | 1% | |
47 | BOBE Arianna | - | 1% | 7% | 27% | 40% | 23% | 2% |
48 | VOO Evelyn | - | 2% | 10% | 28% | 37% | 21% | 3% |
49 | WARD Imani | 4% | 18% | 32% | 29% | 14% | 3% | - |
50 | KIM Abigail | - | 6% | 21% | 35% | 28% | 10% | 1% |
51 | YANG Nina | 8% | 27% | 34% | 22% | 8% | 1% | - |
52 | KASHUBA Mila | 5% | 22% | 35% | 26% | 10% | 2% | - |
53 | WANG Katherine | 9% | 29% | 35% | 21% | 6% | 1% | - |
54 | FLYNN Kensington | 1% | 8% | 26% | 37% | 23% | 5% | |
55 | LEE Iona | 1% | 8% | 23% | 33% | 25% | 9% | 1% |
56 | WILLIAMSON Aria | 3% | 18% | 33% | 30% | 13% | 3% | - |
57 | LI Allison | - | 5% | 17% | 31% | 31% | 14% | 2% |
58 | TRUONG Chloe | 1% | 7% | 23% | 35% | 26% | 8% | 1% |
59 | CHERUKU Vihaani | 17% | 43% | 29% | 9% | 1% | - | - |
60 | CHEN Reina | 19% | 40% | 29% | 10% | 2% | - | |
61 | HUANG Jui-An | 19% | 40% | 30% | 10% | 1% | - | |
62 | LAI Juliet | 12% | 34% | 36% | 15% | 3% | - | |
63 | LI Kayla | - | 4% | 18% | 35% | 30% | 11% | 2% |
64 | BUNCH Helena | 8% | 29% | 36% | 21% | 6% | 1% | - |
65 | YARBILOVA Aya | - | - | 1% | 8% | 26% | 40% | 25% |
66 | SUN Alisha | 2% | 12% | 29% | 33% | 19% | 5% | 1% |
67 | LEE Zoe | 4% | 20% | 34% | 28% | 11% | 2% | - |
68 | ZHAO Crystal | 1% | 9% | 26% | 35% | 22% | 6% | 1% |
69 | SUTCLIFFE Everleigh | 11% | 36% | 37% | 14% | 2% | - | - |
70 | OZALP Tara | 18% | 43% | 29% | 8% | 1% | - | - |
71 | HE Elsa | 9% | 29% | 35% | 20% | 6% | 1% | - |
72 | MOSENG Hana | 16% | 36% | 31% | 13% | 3% | - | - |
73 | DOMONKOS Mary Alanna | - | 2% | 13% | 34% | 35% | 14% | 1% |
74 | SRIKUMAR Nikita | 2% | 13% | 29% | 32% | 18% | 5% | - |
75 | GU Ella | 5% | 25% | 37% | 24% | 8% | 1% | - |
75 | LI Juliana | 5% | 22% | 34% | 27% | 10% | 2% | - |
77 | GRECO Athena | 2% | 12% | 28% | 33% | 19% | 5% | 1% |
78 | CHU Brianna | 4% | 19% | 33% | 28% | 13% | 3% | - |
79 | SCHLIEP Camellia | 8% | 27% | 34% | 22% | 8% | 1% | - |
80 | KWASNY Natalie | 4% | 19% | 34% | 29% | 12% | 2% | - |
81 | FRANGER Emma | 1% | 6% | 20% | 34% | 28% | 11% | 2% |
82 | NEGRUT Sabina | 12% | 33% | 34% | 17% | 4% | 1% | - |
83 | TAN Abriel | 17% | 39% | 32% | 11% | 2% | - | - |
84 | BANNISTER Reilly | 41% | 41% | 15% | 3% | - | - | - |
85 | SUN Joanna | 11% | 33% | 36% | 17% | 3% | - | |
86 | CHANG Hannah | - | 3% | 14% | 28% | 32% | 18% | 4% |
87 | CHONG Emma | 1% | 11% | 30% | 35% | 19% | 4% | - |
88 | FULLER Jocelyn | 9% | 28% | 35% | 21% | 7% | 1% | - |
89 | YU Elise | 6% | 23% | 33% | 25% | 10% | 2% | - |
90 | WANG Hailie | 15% | 34% | 32% | 15% | 4% | 1% | - |
91 | XI Emily | 9% | 29% | 35% | 21% | 6% | 1% | - |
92 | YOUNG Penelope | - | 3% | 14% | 29% | 32% | 17% | 4% |
93 | MENDIRATTA Olivia | 17% | 37% | 31% | 12% | 2% | - | - |
94 | YULTCHIEVA Julia | - | 3% | 14% | 33% | 34% | 14% | 2% |
95 | LATAWA Navya | 15% | 35% | 32% | 14% | 3% | - | - |
96 | JOE Everly | 18% | 38% | 30% | 12% | 2% | - | - |
97 | KANDHI Aryaa | 1% | 6% | 20% | 33% | 28% | 11% | 1% |
98 | WANG Phoebe | 13% | 34% | 33% | 16% | 4% | - | - |
99 | VOGL Layla | 14% | 36% | 33% | 13% | 3% | - | |
100 | SHI Cathy | 17% | 40% | 31% | 10% | 1% | - | - |
101 | RAKOTOZAFY Mailalatia | < 1% | 1% | 4% | 16% | 33% | 33% | 13% |
102 | LOUGH Abbie | 45% | 43% | 11% | 1% | - | - | - |
103 | TAON Claire | 33% | 44% | 19% | 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.