National Harbor, MD - National Harbor, MD, 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 | POSSICK Lola P. | - | - | - | 1% | 12% | 44% | 43% |
2 | PAK Kaitlyn | - | - | 3% | 15% | 33% | 35% | 14% |
3 | WILLIAMS Chloe C. | - | - | - | 2% | 15% | 45% | 38% |
3 | GREENBAUM Ella K. | - | - | 4% | 15% | 32% | 34% | 15% |
5 | LI Victoria J. | - | 4% | 18% | 33% | 30% | 13% | 2% |
6 | SHOMAN Jenna | - | - | - | 4% | 21% | 44% | 31% |
7 | ENGELMAN Madeline A. | - | - | - | 5% | 23% | 47% | 25% |
8 | NAZLYMOV Tatiana F. | - | - | 2% | 11% | 32% | 39% | 16% |
9 | CARVALHO Isabela A. | - | - | - | 2% | 14% | 41% | 43% |
10 | CHIOLDI Mina | - | 3% | 17% | 36% | 33% | 11% | |
11 | STONE Hava S. | - | 1% | 9% | 28% | 40% | 22% | |
12 | LI Amanda C. | - | - | 1% | 6% | 22% | 42% | 29% |
13 | LIN Audrey J. | 1% | 8% | 24% | 34% | 24% | 8% | 1% |
14 | BOIS Adele | - | 2% | 10% | 26% | 36% | 22% | 5% |
15 | MAREK SOFIA | - | 3% | 15% | 34% | 35% | 13% | |
16 | JULIEN Michelle | - | 1% | 12% | 36% | 38% | 13% | |
17 | SZETO Chloe | - | 1% | 9% | 28% | 36% | 21% | 4% |
18 | WIGGERS Susan Q. | - | 1% | 7% | 21% | 34% | 27% | 9% |
19 | YANG Ashley M. | - | 2% | 13% | 31% | 37% | 16% | |
20 | ATLURI Sara V. | - | 2% | 13% | 32% | 35% | 16% | 2% |
21 | OLSEN Natalie J. | - | - | 2% | 12% | 32% | 39% | 15% |
22 | ROMAGNOLI Isabella | - | - | 2% | 17% | 49% | 27% | 4% |
23 | RIZKALA Joanna | - | - | 4% | 17% | 34% | 32% | 12% |
24 | OBRADOVIC Ana | - | 3% | 13% | 28% | 33% | 19% | 4% |
25 | WEI Vivian W. | 4% | 19% | 34% | 29% | 12% | 2% | - |
26 | SHOMAN Miriam | - | 1% | 9% | 31% | 41% | 18% | |
27 | MIKA Veronica | - | 1% | 9% | 33% | 41% | 17% | |
28 | NEWELL Alexia C. | - | 1% | 12% | 35% | 39% | 13% | |
29 | SU Emma | 4% | 20% | 35% | 27% | 11% | 2% | - |
30 | TRAN Thya K. | - | - | 3% | 15% | 36% | 36% | 10% |
31 | BLUM Leah I. | - | - | 1% | 8% | 25% | 40% | 25% |
32 | DUBOIS Lauren N. | - | - | 1% | 7% | 27% | 42% | 23% |
33 | WU Erica L. | - | 1% | 8% | 28% | 41% | 22% | |
34 | XI Shining | - | 5% | 18% | 32% | 30% | 13% | 2% |
35 | PARRIS Gillian A. | - | 3% | 14% | 30% | 32% | 17% | 4% |
36 | CHIANG Emily | 5% | 21% | 36% | 28% | 10% | 1% | - |
37 | KONG Carys H. | - | - | - | 3% | 21% | 52% | 24% |
37 | SHI Cathleen | - | 4% | 16% | 30% | 30% | 15% | 3% |
39 | LU Amy | 16% | 40% | 32% | 10% | 2% | - | - |
40 | PRIEUR Lauren | 1% | 8% | 27% | 38% | 22% | 5% | |
41 | ALCEBAR Kayla | - | 5% | 17% | 31% | 30% | 14% | 3% |
42 | GRINBERG Aliya | 1% | 7% | 24% | 38% | 24% | 5% | - |
43 | YUAN Greta | 1% | 8% | 25% | 34% | 23% | 8% | 1% |
44 | LEE Sophia | 1% | 6% | 22% | 35% | 27% | 8% | 1% |
44 | SOURIMTO Valeria | - | 2% | 12% | 29% | 34% | 19% | 4% |
46 | HUANG Sharon | - | 3% | 13% | 29% | 33% | 18% | 4% |
47 | JAVERI Amaya | 8% | 29% | 37% | 21% | 6% | 1% | - |
48 | GUTHIKONDA Sunanya | 12% | 33% | 35% | 17% | 4% | - | - |
48 | CHIN Sophia J. | - | 1% | 7% | 24% | 37% | 26% | 6% |
50 | LIN Angela | 2% | 20% | 39% | 29% | 9% | 1% | |
51 | BEVACQUA Aria F. | 1% | 11% | 33% | 37% | 16% | 2% | |
52 | LEVITIS Danielle | - | 1% | 8% | 28% | 39% | 21% | 3% |
53 | LUKASHENKO Angelina | - | 1% | 6% | 19% | 34% | 30% | 10% |
54 | TODD Phoebe | 5% | 25% | 41% | 25% | 4% | - | - |
55 | SINHA Anika | - | 1% | 5% | 21% | 36% | 28% | 8% |
56 | ADEBANKE Niara | 2% | 13% | 29% | 32% | 19% | 5% | 1% |
56 | LU Elaine | - | 4% | 19% | 37% | 31% | 8% | 1% |
58 | ANTHONY Alexia B. | 2% | 17% | 35% | 31% | 12% | 2% | - |
59 | MA Grace C. | 1% | 9% | 27% | 35% | 22% | 6% | - |
60 | GRAFF Sophie | - | 5% | 17% | 31% | 30% | 14% | 2% |
61 | LELAND Erin | 6% | 27% | 39% | 23% | 4% | - | - |
62 | DUCKETT Madison | 1% | 8% | 37% | 38% | 15% | 2% | |
63 | HILD Nisha | 1% | 8% | 24% | 33% | 24% | 9% | 1% |
64 | WANG Jianning | 9% | 30% | 36% | 19% | 5% | 1% | - |
65 | NEIBART Fiona | 3% | 18% | 34% | 29% | 13% | 3% | - |
66 | CHEN Xinyan | 4% | 19% | 33% | 29% | 13% | 3% | - |
67 | HENRY Soraya S. | 5% | 26% | 40% | 23% | 6% | - | - |
68 | PENG Florella | 17% | 37% | 31% | 13% | 3% | - | - |
69 | WHALEN Paige C. | 2% | 16% | 36% | 32% | 12% | 2% | |
70 | MU Vicki Y. | 9% | 32% | 36% | 18% | 4% | - | |
71 | BALAKUMARAN Maya | 3% | 23% | 38% | 26% | 8% | 1% | |
72 | DAVIS Charlotte | 27% | 47% | 21% | 4% | - | - | |
73 | SIMONIAN Olivia A. | 3% | 17% | 32% | 30% | 14% | 3% | - |
74 | KIM Marley I. | 4% | 17% | 31% | 29% | 15% | 4% | - |
75 | NG Sarah W. | 2% | 16% | 40% | 34% | 7% | 1% | - |
76 | SHIH Christina | 1% | 6% | 22% | 35% | 27% | 9% | 1% |
77 | BAKER Audrey C. | 2% | 12% | 29% | 33% | 18% | 5% | 1% |
78 | ELNATAN Mica A. | 30% | 42% | 22% | 5% | 1% | - | - |
79 | SULLIVAN Caroline | 4% | 20% | 34% | 28% | 11% | 2% | - |
80 | FERRARI-BRIDGERS Marinella O. | - | 4% | 22% | 41% | 27% | 6% | |
81 | NAYAK Indra | 2% | 17% | 37% | 31% | 11% | 1% | |
82 | MEYTIN Sophia E. | 29% | 54% | 15% | 2% | - | - | |
83 | HALL Gianna | 16% | 39% | 33% | 11% | 1% | - | |
84 | MONTORIO Lily M. | 47% | 43% | 9% | 1% | - | - | |
85 | LI Jaimie | 3% | 18% | 33% | 29% | 13% | 3% | - |
86 | RODRIGUEZ Colette O. | 10% | 36% | 38% | 14% | 2% | - | - |
87 | DILLE Carolina G. | 17% | 40% | 31% | 10% | 2% | - | - |
88 | JOHNSON Dagny L. | - | 4% | 16% | 31% | 31% | 16% | 3% |
88 | GOMERMAN Sophia | 21% | 38% | 28% | 10% | 2% | - | - |
90 | JENKINS Scotland | 13% | 39% | 36% | 11% | 1% | - | - |
91 | LI Zhishan | 17% | 37% | 31% | 12% | 3% | - | - |
92 | LIN Selena | 38% | 44% | 16% | 2% | - | - | - |
93 | YUN Emma | 36% | 41% | 18% | 4% | 1% | - | - |
94 | SLOBODSKY Sasha L. | 8% | 26% | 35% | 23% | 8% | 1% | - |
95 | MARYASH Samantha | 56% | 35% | 8% | 1% | - | - | |
96 | ANGIOLETTI Kazandra | 10% | 35% | 36% | 16% | 3% | - | - |
97 | COHEN Charlotte | 28% | 45% | 22% | 5% | - | - | - |
98 | BAKER Amelia M. | 31% | 45% | 20% | 4% | - | - | - |
99 | WUNNAVA Elina | 20% | 39% | 29% | 10% | 2% | - | - |
100 | D'ORAZIO Sofia V. | 22% | 40% | 28% | 9% | 1% | - | |
101 | FAN Grace | 5% | 23% | 37% | 26% | 8% | 1% | - |
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.