Charlotte, NC, 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 | ENGELMAN-SANZ Madeline A. | - | - | - | 1% | 7% | 35% | 57% |
2 | SHOMAN Jenna | - | - | - | - | 3% | 24% | 73% |
3 | FREEDMAN Janna N. | - | - | - | 2% | 15% | 41% | 41% |
3 | KRASTEV Minna | - | - | 1% | 13% | 43% | 43% | |
5 | DUCKETT Madison | - | - | 1% | 8% | 26% | 41% | 24% |
6 | ANDRES Charmaine G. | - | - | 1% | 5% | 22% | 43% | 30% |
7 | NATH Trisha | - | 3% | 14% | 34% | 36% | 14% | |
8 | JEONG Katie | 1% | 6% | 19% | 32% | 28% | 13% | 2% |
9 | SHEARER Natalie E. | - | - | 4% | 20% | 38% | 30% | 8% |
10 | LIU Sophie | - | 1% | 5% | 19% | 36% | 30% | 9% |
11 | PAUL Lila | - | - | 2% | 12% | 32% | 38% | 14% |
12 | BALAKUMARAN Maya | - | 1% | 7% | 23% | 36% | 26% | 6% |
13 | KER Grace | - | - | 2% | 9% | 27% | 40% | 23% |
14 | ANTHONY Alexia B. | - | 2% | 12% | 33% | 35% | 16% | 2% |
15 | YANG Lea | 1% | 8% | 25% | 35% | 23% | 7% | 1% |
16 | HUNG Anna | - | 6% | 22% | 37% | 28% | 8% | |
17 | YUAN Greta | - | 1% | 5% | 18% | 36% | 31% | 9% |
18 | HILD Nisha | - | - | 2% | 11% | 29% | 38% | 19% |
19 | CHIN Sophia J. | - | - | 3% | 13% | 35% | 39% | 10% |
20 | KIM Marley I. | - | 1% | 9% | 25% | 36% | 23% | 6% |
21 | JUNG Irene | - | - | 4% | 17% | 35% | 33% | 11% |
22 | WU Helen | 1% | 7% | 22% | 35% | 26% | 8% | 1% |
23 | LEE Hannah | - | 1% | 6% | 27% | 47% | 20% | |
24 | WIGGERS Susan Q. | - | - | 1% | 8% | 26% | 40% | 24% |
25 | SCHIMINOVICH Sophia I. | - | 3% | 16% | 35% | 32% | 12% | 1% |
26 | GHAYALOD reya | - | - | 2% | 11% | 32% | 39% | 16% |
27 | SINHA Anika | - | 3% | 16% | 32% | 32% | 15% | 3% |
28 | CHANG Audrey | 1% | 15% | 33% | 32% | 15% | 4% | - |
29 | MARYASH Samantha | - | 6% | 25% | 38% | 24% | 6% | - |
30 | HWANG Gabriela M. | - | 1% | 6% | 21% | 36% | 28% | 8% |
31 | TONG Jessie | 1% | 10% | 28% | 34% | 20% | 6% | 1% |
32 | MCKEE Brynnley | 1% | 9% | 26% | 35% | 22% | 6% | 1% |
33 | LI Amanda C. | - | - | - | 6% | 33% | 61% | |
34 | NGUYEN Siena | 5% | 20% | 33% | 27% | 12% | 3% | < 1% |
35 | JOHNSON Dagny L. | - | 1% | 8% | 26% | 37% | 23% | 5% |
35 | SHI Cathleen | - | 2% | 9% | 24% | 34% | 25% | 7% |
37 | FANG Victoria W. | - | 1% | 7% | 25% | 38% | 24% | 5% |
38 | CHEN Ashley | - | 3% | 16% | 32% | 32% | 14% | 2% |
39 | YOUNG Charlotte G. | 5% | 24% | 40% | 25% | 6% | - | |
40 | JOHNSON Lydia | 1% | 8% | 27% | 37% | 22% | 5% | |
41 | YANG Ashley M. | - | - | 2% | 13% | 34% | 37% | 14% |
42 | LIGH Erenei J. | - | 2% | 10% | 27% | 36% | 21% | 5% |
42 | LEMUS-IAKOVIDOU ALEXANDRA | 1% | 10% | 28% | 35% | 20% | 4% | - |
44 | WEI Vivian W. | - | 2% | 13% | 33% | 36% | 15% | 1% |
45 | YANG Angelina LeLe | - | 1% | 7% | 25% | 40% | 25% | 3% |
46 | BEVACQUA Aria F. | - | - | 2% | 12% | 31% | 38% | 17% |
47 | VADASZ Ibla P. | - | - | 2% | 10% | 28% | 39% | 21% |
48 | LUKER Sophia | - | 4% | 17% | 33% | 30% | 13% | 2% |
49 | BARNOVITZ Maya | 1% | 11% | 34% | 38% | 14% | 1% | |
50 | MAKLIN Sofia | - | 4% | 20% | 37% | 30% | 9% | |
51 | DAI Olivia | 9% | 34% | 38% | 16% | 2% | - | |
52 | TSUI Natalie | - | 3% | 15% | 32% | 32% | 15% | 2% |
53 | FESTA Carina | 3% | 16% | 33% | 31% | 14% | 3% | - |
54 | ALCEBAR Kayla | - | 1% | 9% | 28% | 37% | 21% | 4% |
55 | ERIKSON Kira R. | - | 2% | 11% | 28% | 34% | 20% | 4% |
55 | WEI JoyAnn | 8% | 29% | 36% | 20% | 6% | 1% | - |
57 | HUCHWAJDA Pola | 14% | 40% | 32% | 11% | 2% | - | |
58 | NATHANSON Sammy E. | - | 2% | 12% | 35% | 42% | 10% | |
59 | LU Elaine | - | 1% | 6% | 18% | 33% | 31% | 11% |
60 | NAYAK Esha | 2% | 16% | 38% | 31% | 11% | 2% | - |
61 | MANN Sophia J. | 2% | 20% | 42% | 27% | 8% | 1% | - |
62 | SO Catelyn | 1% | 8% | 23% | 32% | 24% | 9% | 1% |
63 | GRAFF Sophie | - | 4% | 17% | 33% | 31% | 13% | 2% |
64 | HE Lizbeth | 2% | 17% | 36% | 31% | 12% | 2% | - |
65 | BAWA Anahat | 12% | 34% | 34% | 16% | 4% | - | - |
66 | LEE Sophia | - | 4% | 16% | 33% | 31% | 14% | 2% |
67 | KANTIPUDI Shrika | 3% | 16% | 33% | 32% | 14% | 2% | - |
68 | DENG Brooke | 2% | 12% | 30% | 33% | 18% | 5% | - |
69 | PANIGRAHI Kingsley | 22% | 40% | 28% | 9% | 2% | - | - |
70 | CHEN Kevy | 9% | 32% | 38% | 18% | 3% | - | |
71 | FEIG Sela | 4% | 21% | 39% | 28% | 7% | - | |
72 | CHAPMAN-LAYLAND Astrid M. | 4% | 20% | 35% | 28% | 11% | 2% | - |
73 | CHRISTOTHOULOU Olympia C. | 2% | 12% | 30% | 34% | 19% | 5% | - |
74 | LAGOON Miriam | 14% | 42% | 32% | 10% | 1% | - | - |
75 | FLATT Sophia | 7% | 27% | 36% | 22% | 6% | 1% | - |
76 | WANG Zidan | 4% | 19% | 34% | 29% | 12% | 2% | - |
77 | REN Xinling | 2% | 13% | 31% | 34% | 17% | 3% | - |
78 | LO JOCELYN | 42% | 41% | 14% | 2% | - | - | - |
79 | LI Alexis | 45% | 41% | 12% | 2% | - | - | - |
80 | YAO Rainie | 35% | 43% | 18% | 3% | - | - | |
81 | YOUNG Audrey | 8% | 32% | 39% | 18% | 3% | - | |
82 | LIM Jaslene | 6% | 23% | 34% | 25% | 10% | 2% | - |
83 | YU Zhiang | 7% | 24% | 34% | 24% | 9% | 2% | - |
84 | CARTER Keely | 65% | 29% | 5% | - | - | - | - |
85 | SHINCHUK Ellisha | 3% | 16% | 33% | 31% | 14% | 3% | - |
86 | FANG sophie | 16% | 37% | 32% | 13% | 3% | - | - |
87 | TUNG Renee | 17% | 41% | 31% | 10% | 1% | - | - |
88 | MANSPERGER Leena | - | 4% | 17% | 33% | 31% | 14% | 2% |
88 | NAYAK Anika | 28% | 42% | 23% | 6% | 1% | - | - |
90 | HUAI Delilah | 1% | 9% | 30% | 37% | 19% | 4% | - |
91 | LI Victoria | 24% | 41% | 26% | 8% | 1% | - | - |
92 | ZHAO Emily W. | 11% | 43% | 34% | 10% | 1% | - | - |
93 | SCOTT Eve | 21% | 40% | 28% | 9% | 1% | - | - |
94 | XU Emily T. | 4% | 21% | 36% | 27% | 10% | 2% | - |
95 | ZHOU Ruoxi ( Jasmine) | 33% | 43% | 20% | 4% | - | - | |
96 | MONTORIO Lily M. | 10% | 36% | 36% | 15% | 3% | - | - |
96 | YAN Lena | 16% | 40% | 31% | 11% | 2% | - | - |
98 | CHIANG Melissa | 33% | 44% | 19% | 4% | - | - | - |
99 | CANSECO Carly | 13% | 35% | 33% | 15% | 3% | - | - |
100 | ELNATAN Mica A. | 28% | 43% | 23% | 5% | - | - | |
101 | WUNNAVA Elina | 29% | 41% | 23% | 6% | 1% | - | - |
102 | WUNNAVA Ellora | 56% | 36% | 7% | 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.