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 | KER Grace | - | - | - | 3% | 18% | 42% | 36% |
2 | LIM Jaslene | - | 5% | 19% | 35% | 31% | 10% | |
3 | OISHI Megumi | - | - | - | 1% | 17% | 82% | |
3 | TSE Angelina | - | - | 3% | 13% | 31% | 36% | 17% |
5 | HILD Nisha | - | - | - | 1% | 10% | 38% | 51% |
5 | TABANGAY Heartlyn | - | - | 1% | 8% | 25% | 40% | 25% |
7 | NATH Trisha | - | - | - | 3% | 16% | 45% | 37% |
8 | MANN Sophia J. | - | 1% | 6% | 22% | 39% | 29% | 4% |
9 | ENDO Miyuki N. | - | - | 3% | 14% | 34% | 37% | 12% |
10 | ATTIA Jasmine | 1% | 6% | 22% | 37% | 28% | 7% | |
11 | PRIEUR Lauren | - | - | 2% | 10% | 30% | 40% | 19% |
12 | DRAGON Rainer | - | - | - | 2% | 11% | 37% | 50% |
13 | WANG Alice | - | 2% | 12% | 29% | 34% | 18% | 4% |
14 | STAPLETON Lindsay K. | - | - | 1% | 6% | 25% | 46% | 23% |
15 | CHIANG Melissa | - | 3% | 12% | 28% | 33% | 19% | 4% |
16 | MANKOVA Varvara | - | 3% | 14% | 30% | 33% | 17% | 3% |
17 | SAYLES Nina R. | - | - | - | - | 3% | 25% | 72% |
18 | XIONG Haojiao | - | - | 2% | 10% | 29% | 39% | 20% |
19 | GEYER Carolina M. | - | - | 1% | 6% | 27% | 43% | 22% |
20 | LIU Sydney | 1% | 9% | 27% | 36% | 22% | 5% | |
21 | GRULICH Rayaana | 1% | 8% | 25% | 35% | 23% | 7% | 1% |
22 | BARNOVITZ Maya | - | - | 3% | 15% | 37% | 35% | 10% |
23 | HE Charlotte | - | - | 2% | 14% | 35% | 38% | 10% |
24 | BUSH Bethany | 3% | 17% | 35% | 31% | 12% | 2% | - |
25 | PABIAN Emilia | - | 1% | 9% | 26% | 36% | 23% | 5% |
26 | FANG Victoria W. | - | - | 4% | 19% | 40% | 30% | 7% |
27 | WANG Gloria Ruoyan | - | 3% | 14% | 31% | 32% | 16% | 3% |
28 | MARTURANO Bridget H. | - | - | 1% | 6% | 27% | 44% | 23% |
29 | LEE Sophia | - | 1% | 8% | 26% | 41% | 25% | |
30 | RAMIREZ Mirka A. | 4% | 22% | 38% | 28% | 7% | - | |
31 | TONG Jessie | - | 1% | 8% | 25% | 38% | 23% | 5% |
32 | ZHANG Sophie | 1% | 6% | 22% | 35% | 27% | 9% | 1% |
33 | HUNG Anna | - | - | 2% | 10% | 30% | 40% | 18% |
34 | KRASTEV Minna | - | - | - | 3% | 19% | 43% | 35% |
35 | SPEARS Mya B | - | 4% | 16% | 31% | 31% | 15% | 3% |
36 | ALFARACHE Gabriella C. | - | 5% | 21% | 41% | 30% | 3% | |
37 | CARTER Keely | 4% | 18% | 35% | 30% | 12% | 2% | |
38 | HU Anna | - | 2% | 12% | 29% | 34% | 18% | 4% |
39 | DANG Kelia | - | 2% | 10% | 26% | 34% | 22% | 6% |
40 | KHAN Alissa | - | 1% | 7% | 23% | 36% | 26% | 7% |
41 | SCOTT Eve | - | 1% | 6% | 25% | 39% | 24% | 5% |
42 | TAN Adelyn | - | 6% | 24% | 36% | 25% | 8% | 1% |
43 | COLTER Aurora | - | 3% | 16% | 34% | 32% | 13% | 1% |
44 | XIE Nora | 2% | 12% | 29% | 32% | 18% | 5% | 1% |
45 | LUKER Sophia | - | 2% | 12% | 31% | 37% | 17% | |
46 | HUANG MADELINE | - | 1% | 10% | 28% | 37% | 20% | 3% |
47 | NAIR Supriya | 6% | 29% | 38% | 21% | 5% | 1% | - |
48 | LO Chloe | 1% | 7% | 23% | 36% | 26% | 7% | - |
49 | YANG Lea | - | 1% | 5% | 18% | 34% | 31% | 11% |
50 | ZENG Sarah | - | 3% | 15% | 34% | 34% | 13% | 1% |
51 | LITTLE Avery | - | 3% | 17% | 37% | 31% | 11% | 1% |
51 | PROBASCO Leila | 5% | 22% | 37% | 26% | 9% | 1% | - |
53 | SINGER Ellery | 24% | 41% | 26% | 7% | 1% | - | - |
54 | KNOBEL Sophia | 1% | 10% | 29% | 34% | 19% | 5% | 1% |
55 | REAVIS Isabel | 29% | 43% | 23% | 5% | 1% | - | - |
56 | ZHENG Valentina | 1% | 7% | 23% | 36% | 26% | 7% | - |
57 | GOLOVITSER Maya | 10% | 31% | 36% | 19% | 5% | - | |
58 | MERCHANT Aishwarya | 6% | 24% | 36% | 25% | 8% | 1% | |
59 | LUKER Hannah | 10% | 31% | 35% | 19% | 5% | - | |
60 | BERNARD Kathryn | 11% | 34% | 36% | 17% | 3% | - | |
61 | CARLUCCI Laura A. | 2% | 15% | 35% | 33% | 13% | 2% | - |
62 | BROCK Sydney | - | 4% | 18% | 33% | 30% | 12% | 2% |
63 | DAVIS Jayna M. | 1% | 8% | 26% | 37% | 23% | 5% | - |
64 | BLAKE Anna | 14% | 38% | 33% | 12% | 2% | - | - |
65 | KINKADE Ellie | - | 6% | 22% | 35% | 26% | 9% | 1% |
66 | DUCKETT Leighton | 30% | 43% | 22% | 4% | - | - | - |
67 | KITSON Sasha | 63% | 31% | 6% | - | - | - | - |
68 | MCSWEENEY Kylie | 2% | 13% | 33% | 34% | 16% | 3% | - |
69 | SADANI Jyotika | 12% | 35% | 34% | 15% | 3% | - | - |
70 | SHELLEY Scarlett | 23% | 43% | 27% | 7% | 1% | - | - |
71 | MYAT Chloe | 6% | 25% | 35% | 24% | 8% | 1% | - |
72 | DAI Olivia | - | 2% | 12% | 29% | 34% | 19% | 4% |
73 | MACKAY Katherine | 13% | 35% | 34% | 15% | 3% | - | - |
74 | GOSAVI Aabolee | 11% | 34% | 35% | 16% | 3% | - | - |
75 | XU Kaylyn | 8% | 30% | 38% | 20% | 4% | - | - |
76 | DEHON Inès | 5% | 31% | 38% | 20% | 5% | 1% | - |
77 | KANDADAI Lara | 8% | 29% | 36% | 21% | 6% | 1% | - |
77 | GENTILE Vittoria | 9% | 32% | 38% | 18% | 3% | - | - |
79 | CHEN Kevy | 1% | 12% | 32% | 34% | 16% | 3% | - |
80 | ALTMAN Leigh | - | 3% | 15% | 32% | 32% | 15% | 3% |
81 | DUDNICK Morgan | 2% | 14% | 32% | 33% | 16% | 3% | |
82 | XU Emily T. | 6% | 25% | 39% | 25% | 6% | - | |
83 | ZHAI AMY | 4% | 20% | 36% | 28% | 10% | 1% | - |
83 | SENTHIL Tejas | 75% | 22% | 3% | - | - | - | - |
85 | GOMERMAN Sophia | - | 5% | 22% | 36% | 27% | 8% | 1% |
86 | ONG Lauren | 27% | 43% | 23% | 6% | 1% | - | - |
87 | HITOMI Nadya | 1% | 11% | 32% | 37% | 16% | 3% | - |
88 | ISBERG Natalie | 1% | 10% | 29% | 36% | 19% | 4% | - |
89 | SCHOON REBECCA | 20% | 42% | 28% | 9% | 1% | - | - |
89 | WALLER London | 1% | 13% | 32% | 33% | 17% | 4% | - |
91 | ASHTIANI Shaya | 25% | 41% | 25% | 7% | 1% | - | - |
92 | HAN Emma | 7% | 29% | 40% | 20% | 4% | - | - |
93 | KHOST Maeve | 21% | 43% | 28% | 7% | 1% | - | - |
94 | DUCKETT Retta | 19% | 39% | 30% | 11% | 2% | - | - |
95 | TESTROET Aubrey | 15% | 36% | 32% | 14% | 3% | - | |
96 | ZHAN Sophie | 1% | 9% | 26% | 36% | 22% | 5% | - |
96 | SUHALIM Maree | 29% | 41% | 23% | 6% | 1% | - | - |
98 | CHAMI Lana | 23% | 41% | 27% | 8% | 1% | - | - |
99 | BARROSO Isabela | 16% | 37% | 32% | 13% | 2% | - | |
100 | STONE Coral | 18% | 39% | 31% | 10% | 1% | - | |
101 | GLUCK Myriam | 3% | 18% | 35% | 30% | 12% | 2% | - |
102 | NEWMARK Ellie | 46% | 39% | 12% | 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.