Capitol Clash SYC, RCC, Veteran ROC & Y8

Cadet Women's Épée

Monday, January 20, 2020 at 8:00 AM

National Harbor, MD - National Harbor, MD, USA

Probability density of pool victories

Reset

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 HUSISIAN Hadley N. - - - - 1% 17% 82%
2 JOYCE Michaela - - - - - 10% 89%
3 WADE-CURRIE Ava S. - - - 3% 15% 42% 40%
3 TYLER Syd - - - 1% 7% 36% 56%
5 MAO Amy - 5% 20% 34% 29% 11% 1%
6 ZHANG Tina - - - 4% 21% 43% 31%
7 KIM Elizabeth Y. - - 5% 20% 37% 30% 8%
8 NGUYEN Kira - 2% 11% 31% 38% 16% 2%
9 SMITH Grace L. - - 2% 12% 32% 38% 15%
10 CHENG Ava - - 1% 5% 22% 42% 30%
11 GU Sarah - - 1% 5% 24% 45% 25%
12 SEMIKIN Julia - - 1% 8% 28% 41% 21%
13 HENRY Asha S. - - - 3% 16% 43% 39%
13 XUAN Nicole J. - 1% 5% 22% 39% 27% 6%
15 ZAFFT Tatiana M. - - - 2% 13% 39% 46%
16 DESAI Meera P. - - 1% 11% 36% 41% 11%
17 JAKEL Sophia N. - - - 4% 19% 42% 34%
18 RICHARDSON Lauren C. 4% 19% 35% 29% 12% 2% -
19 HSU Adele Y. 12% 35% 35% 15% 3% < 1% -
20 LI Alisha - 9% 31% 37% 18% 4% -
21 SUN XiaoQi (Angelica) - - - 5% 22% 45% 27%
22 LEE kyungmin - - - 4% 20% 43% 32%
23 LUO Ashley - - 2% 12% 33% 39% 14%
24 GUMAGAY Erika L. - 2% 14% 34% 35% 13% 1%
25 ALEXANDROV Katherine S. - 1% 9% 28% 39% 21% 2%
26 BELSLEY Devon K. - - 4% 19% 38% 31% 8%
27 BLIN Margaux J. - 3% 13% 30% 34% 17% 3%
28 PAPADAKIS Lily - 2% 11% 28% 35% 21% 5%
29 WITTE Vera 3% 20% 38% 28% 9% 1% -
30 MING Cynthia 1% 6% 23% 37% 26% 6% -
31 KIM Erika S. - 4% 16% 32% 32% 14% 2%
32 DE JAGER Celine - 3% 16% 33% 31% 14% 2%
33 REMEZA Alissa - - 1% 10% 32% 42% 15%
34 PALANSKI Cate - 1% 9% 26% 35% 23% 6%
34 FLO Sena 3% 19% 37% 30% 10% 1% -
36 REID Anousheh - 1% 7% 23% 36% 26% 7%
37 SMOTRITSKY Mia - 4% 18% 37% 31% 10% 1%
38 LOWENSTEIN Penelope J. - - 3% 14% 39% 41% 3%
39 GAO Judy - 3% 17% 36% 31% 11% 1%
40 CALDERA Lexi I. - 1% 6% 22% 38% 27% 6%
41 LI Yuhe - 2% 11% 28% 34% 20% 5%
42 CHAN Elizabeth - - 3% 14% 34% 36% 12%
43 HARJANI Meher 3% 22% 43% 26% 6% 1% -
44 JOSEPH mikayla 1% 14% 36% 33% 13% 2% -
45 JOYAL Anne-Sophie - 3% 18% 41% 30% 7% -
46 REITINGER Emilie B. - 2% 14% 31% 33% 16% 3%
46 BENZAN India 3% 31% 41% 20% 4% - -
48 ZENG Katrina - 3% 16% 35% 33% 11% 1%
49 PEELER Julia 1% 13% 34% 34% 15% 2% -
50 MCLAREN Rachel 1% 13% 33% 35% 15% 3% -
51 SMITH Myah - 2% 14% 35% 35% 13% 1%
52 BAJAJ Nikita K. - 5% 20% 37% 29% 8% -
53 GLICK Nina 5% 25% 38% 24% 7% 1% -
54 CASTANEDA Erika L. - - 2% 13% 35% 39% 11%
55 LEE Yedda - 1% 9% 28% 38% 20% 4%
55 TEJADA Mikaela Aprille S. 3% 15% 32% 32% 15% 3% -
57 DILLE Carolina G. 3% 20% 37% 29% 9% 1% -
58 FAZZINI Angelina 1% 7% 25% 38% 23% 6% 1%
59 CHERNYSHOVA Victoria - 1% 10% 29% 38% 19% 3%
60 RAUSCH Juliana 1% 10% 31% 36% 18% 4% -
61 HOSANAGAR Inchara 23% 42% 27% 7% 1% - -
62 YOON Katherine 12% 37% 35% 14% 2% - -
63 OGAWA Kaylin - 4% 17% 33% 31% 13% 2%
64 ALEXANDER Amelia 23% 41% 26% 8% 1% - -
65 MOON Seojung 14% 37% 32% 13% 3% - -
66 LU Samantha R. - 1% 8% 30% 41% 18% 2%
67 PRIHODKO Nina 4% 24% 39% 25% 7% 1% -
68 YAO KATHARINE 1% 10% 28% 35% 20% 5% -
69 MACEDON Gianna 11% 33% 36% 17% 3% - -
70 PAYNE Elizabeth 9% 36% 37% 14% 2% - -
71 LOUGHLIN Ariana 6% 30% 39% 20% 4% - -
72 KEE Bea Isabelle 16% 39% 31% 11% 2% - -
73 LI Suri 3% 17% 36% 31% 12% 2% -
74 KRUMHOLZ Nicole 40% 44% 14% 2% - - -
75 KRUPENKO Sabrina R. 7% 26% 36% 23% 7% 1% -
75 HU Chelsea 3% 17% 35% 32% 12% 1% -
77 NIEMAN Anjolie 9% 33% 38% 17% 3% - -
78 NIEMAN Aubrey 20% 42% 28% 8% 1% - -
78 PAN Iris 53% 37% 9% 1% - - -
78 ROMERO KURI Celeste 43% 43% 13% 1% - - -
81 LIU Sydney 25% 42% 25% 7% 1% - -
81 RAVIKUMAR Varsha 22% 40% 28% 9% 1% - -
83 RAI Ananya 8% 29% 37% 21% 5% - -
84 WAGMAN Agatha E. 5% 24% 37% 25% 8% 1% -
85 NAYAK Mira 20% 45% 27% 7% 1% - -
86 WONG Bella 18% 46% 29% 6% 1% - -
87 BROWN Hannah 47% 39% 12% 2% - - -
88 PANKOW Caroline 16% 46% 30% 7% 1% - -
89 OHL Emily 76% 22% 2% - - - -
89 FRIEDMAN Zoe 49% 39% 11% 1% - - -
91 DREFKE Sigrid 35% 43% 18% 3% - - -

Explanation

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.