Division I and Parafencing Nat'l Championships & April NAC

Cadet Women's Épée

Friday, April 22, 2022 at 1:00 PM

Charlotte, NC, USA

Probability density of pool victories

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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 MACHULSKY Leehi - - - - 5% 29% 65%
2 GU Sarah - - - - 6% 32% 62%
3 KHAMIS Yasmine A. - - - - 2% 18% 81%
3 NGUYEN Kira - 1% 8% 29% 43% 19%
5 YIN Julia - 2% 14% 34% 36% 14%
6 LUO Ashley - - 4% 20% 44% 32%
7 ZHANG Tina Tianyi - - 4% 22% 45% 28%
8 RAKHOVSKI Alexandra 1% 7% 25% 37% 24% 6%
9 PADHYE Tanishka - 1% 9% 28% 40% 21%
10 XIAO Ruien - - - 5% 23% 44% 27%
11 JAKEL Sophia N. - - - 1% 7% 33% 59%
11 ZHEREBCHEVSKA Veronika - 2% 13% 31% 34% 16% 3%
13 KORFONTA Jolie - - 5% 20% 42% 33%
14 MEHROTRA Anya - - - 3% 15% 41% 41%
15 LAN Alice S. - - 2% 11% 31% 39% 17%
16 ZHAO Ivy 1% 17% 37% 31% 12% 2% -
17 GAJJALA Sharika R. - - - 4% 20% 42% 33%
18 NGUYEN Tallulah - - 1% 8% 27% 41% 22%
19 XUAN Nicole J. - - 6% 26% 45% 23%
20 YANG Alisa - 2% 15% 38% 36% 10%
21 WITTER Catherine A. - 1% 8% 25% 38% 25% 4%
22 KIM Zoe L. - - 2% 10% 30% 39% 18%
23 SEBASTIAN Felicity A. - - 3% 18% 44% 34%
24 LEE REGINA 1% 6% 23% 37% 26% 6%
25 ZHU Serene M. - 1% 10% 32% 38% 17% 2%
26 LEE yat ching - 4% 17% 34% 31% 12% 1%
27 YOU Emily - 3% 16% 35% 34% 12% 1%
28 ZHANG Victoria R. - 1% 6% 25% 43% 25%
29 ALEXANDROV Katherine S. - 1% 10% 30% 40% 18%
30 SHARMA Sanvi - 17% 41% 32% 9% 1%
31 LI Fei 16% 38% 33% 11% 2% -
32 FURMAN Maria 1% 10% 30% 37% 19% 3%
33 HONG Elaine - 3% 17% 35% 32% 12% 1%
34 GORNOVSKY Abigail - 3% 17% 39% 33% 8%
35 REID Anousheh - - 5% 23% 45% 26%
36 CHISHOLM Phoebe C. - 7% 24% 36% 25% 7% -
37 ZIGALO Elizabeth - - 2% 16% 43% 38%
38 TRAN Helena 18% 40% 31% 10% 2% -
39 LIU Nicole 4% 20% 36% 29% 10% 1%
40 REMEZA Alissa - - 4% 18% 36% 33% 9%
41 TOLSMA Chloe (CJ) - 2% 10% 27% 36% 21% 4%
42 WONG Alexandra R. - 2% 11% 29% 36% 19% 4%
43 CALDERA Lexi I. - - 2% 11% 33% 39% 15%
44 SWENSON Nikita G. - 2% 11% 31% 38% 17% 1%
45 FENG ge - 1% 6% 20% 37% 29% 8%
46 CANNING Charlotte 5% 23% 39% 25% 7% 1%
47 PRIHODKO Nina 9% 30% 36% 20% 5% -
48 PULLEN Ayah 23% 42% 26% 8% 1% -
49 YAO Yilin 7% 27% 36% 23% 6% 1%
50 LEE Olivia 7% 27% 38% 22% 5% -
51 GUJJA Misha 1% 10% 31% 38% 17% 3%
52 NEMETH Katherine - 1% 13% 35% 36% 14% 1%
53 CREMONA Viola Maria 2% 17% 35% 30% 13% 2% -
54 LI Zhenni (Jenny) 11% 34% 37% 16% 3% -
55 YAO Melinda - 3% 17% 38% 33% 9%
56 RUNIONS Emersyn - 2% 12% 32% 38% 16%
57 SENYUVA Su 1% 13% 38% 35% 12% 1%
58 LIN Elaine - 8% 32% 40% 17% 2%
59 LEE Yedda - 3% 21% 41% 29% 6%
60 AZMEH nour 8% 30% 38% 20% 4% -
61 ANDERSON Claire - 5% 21% 36% 27% 9% 1%
62 YAO KATHARINE - 5% 20% 35% 29% 10% 1%
63 YU Nicole J. - 4% 17% 36% 33% 10%
64 ENRILE Erica 19% 40% 30% 10% 1% -
65 KUMAR Eva 3% 15% 32% 32% 15% 3% -
66 MUELLER Emma M. - 1% 11% 32% 38% 17% 2%
67 BEZUGLAYA Varvara - - 4% 18% 39% 31% 8%
68 HSIU Elizabeth 2% 16% 37% 32% 11% 2% -
69 SONG Angela 1% 10% 27% 35% 22% 6% -
70 DESAI Meera P. - 1% 6% 25% 44% 24%
71 SHU Youshan - 5% 21% 37% 28% 8% -
72 MALLAVARPU Aarthi C. - - 3% 15% 34% 35% 12%
73 PARK Judy - 5% 22% 37% 27% 8% 1%
74 CAFASSO Natalya 4% 20% 36% 28% 10% 2% -
75 BUSH emma - 5% 21% 36% 28% 9% 1%
76 ZANGA Kaitlyn 10% 34% 36% 16% 3% - -
77 LIN Ariel 19% 39% 29% 10% 2% - -
78 JAKEL Alysa C. - 2% 20% 39% 30% 9% 1%
79 CHI Chelsea 1% 11% 32% 36% 18% 3% -
80 KORKIN Alice 1% 28% 44% 23% 4% -
81 SMUK Alexandra S. 5% 26% 38% 24% 7% 1%
82 CHIRASHNYA Noya 6% 25% 37% 25% 7% 1%
83 PEHLIVANI Zara - 4% 17% 35% 34% 10%
83 PINNAMANENI Drithi 5% 24% 38% 25% 8% 1%
85 PEELER Julia 4% 21% 38% 28% 8% 1%
86 OLORVIDA Isabella 16% 49% 28% 6% 1% -
87 BECKMAN Ana 2% 15% 38% 33% 11% 1%
88 FAN Elizabeth 1% 9% 27% 35% 21% 6% 1%
89 LIN Ashley 1% 10% 32% 37% 17% 3% -
90 ALEXANDER Amelia 5% 22% 35% 27% 10% 2% -
91 YOU Isabel B. 3% 16% 33% 31% 14% 3% -
92 NEELAM Neha 12% 39% 35% 12% 2% - -
93 NGUYEN Jolie T. 1% 15% 36% 32% 13% 2% -
94 AI Amy 8% 28% 36% 21% 5% -
95 KUMAR Anusha 28% 47% 21% 4% - -
96 GOLART Alexis A. 29% 45% 21% 4% - -
97 QI Jarynne Valerie - 5% 19% 35% 30% 10% 1%
98 HUANG Lanlan 2% 18% 35% 30% 12% 2% -
99 RHEINECKER Claire 17% 62% 18% 2% - - -
100 ZHANG ANGELA 4% 27% 39% 23% 6% 1% -
101 LIPKOVITZ Rivka 11% 32% 35% 17% 4% - -
102 DONG Ava 2% 20% 37% 29% 11% 2% -
102 XIONG Angelica 7% 27% 36% 22% 7% 1% -
104 WANG Esther 18% 38% 31% 12% 2% - -
105 FERREIRA DE MELO Adriana 21% 41% 29% 9% 1% -
106 MIHILL Margaret 67% 28% 4% - - - -
107 LEE Camilla 15% 38% 33% 12% 2% -
107 DENG Annie 13% 35% 34% 15% 3% -
109 DAVIS Elisabeth 71% 26% 3% - - - -
110 CHENG Katherine 52% 38% 9% 1% - -
111 NGUYEN Ashley L. 38% 42% 17% 3% - -
112 SNYDER Kathryn 45% 41% 12% 2% - - -
113 NOH Rachel 94% 6% - - - -
114 MIRZA Annoshae 31% 43% 21% 5% 1% - -
114 GORTI Aadya 73% 26% 1% - - - -
116 PEARSON Arwa 51% 37% 11% 1% - - -
117 GORTI Ramya 84% 15% 1% - - - -

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.