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USA Fencing National Championships & July Challenge

Div II Women's Épée

Friday, July 8, 2022 at 1:00 PM

Minneapolis, MN, 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 CANNING Charlotte - 1% 7% 22% 35% 27% 8%
2 YOU Emily - 5% 22% 37% 28% 8%
3 CHISHOLM Phoebe C. - - 5% 23% 40% 26% 6%
3 STOECKEL Sofia I. - 2% 10% 27% 35% 21% 5%
5 SMUK Daria A. - - 4% 17% 35% 32% 11%
6 SONG Angela 1% 6% 21% 35% 29% 9%
7 WEISS Olivia - - 1% 9% 27% 40% 22%
8 YOU Isabel B. 1% 14% 35% 33% 14% 3% -
9 KIM Jayna - 2% 11% 27% 33% 21% 5%
10 HICKS Grace - 1% 7% 24% 39% 24% 5%
11 BHATT Anisha 18% 37% 30% 12% 2% < 1% -
12 WITTER Catherine A. - 1% 7% 25% 41% 26%
13 BURN Lauren M. - - - 4% 20% 43% 33%
14 FLANIGAN KENDRA 8% 27% 34% 22% 7% 1% -
15 LI Alisha - 1% 8% 22% 34% 27% 8%
16 BUSH Emma - 1% 7% 21% 34% 27% 9%
17 TAN Jocelyn 2% 14% 31% 33% 17% 3%
18 CHIRASHNYA Noya - 2% 13% 33% 37% 14%
19 REMEZA Alissa - - 1% 5% 22% 44% 29%
20 TIMMONS Sarah J. - - - 5% 24% 44% 26%
21 GUJJA Misha - - 3% 13% 31% 37% 17%
22 GAO Judy - - 3% 15% 33% 35% 14%
23 SHU Youshan - 4% 18% 36% 31% 10%
24 ZHU Serene M. - 2% 11% 30% 38% 19%
25 MCSHINE Katelyn H. - 1% 5% 20% 36% 30% 9%
26 ZENG Katrina 1% 5% 18% 31% 29% 13% 2%
27 TAYLOR-CASAMAYOR Maia - 2% 10% 27% 35% 21% 5%
28 LEE Yedda - 1% 5% 21% 36% 28% 8%
29 BREKSA Lydia 1% 10% 30% 37% 18% 4% -
30 NGUYEN Ashley L. 3% 18% 34% 30% 13% 2% -
31 ANDERSON Claire 1% 9% 29% 37% 21% 4%
32 FREEMAN Kate 26% 41% 25% 7% 1% -
33 SPRINGER Sierra - 2% 14% 34% 36% 13%
34 LIN Ashley - 4% 18% 33% 30% 13% 2%
35 XU Katelyn 2% 13% 29% 31% 18% 5% 1%
36 KRUMHOLZ Nicole - 4% 15% 30% 31% 16% 3%
37 SPURLIN Alicen - - 1% 11% 32% 40% 16%
38 LIN Elaine - - 1% 7% 26% 44% 23%
39 BEAVER Kaitlyn 2% 14% 30% 31% 17% 5% -
40 BOWIE Charlotta - 3% 15% 32% 33% 15% 2%
41 NGUYEN Audrey - 3% 13% 29% 33% 18% 4%
42 PRIHODKO Nina - 1% 7% 23% 36% 26% 7%
43 LEE Kaitlyn M. - 3% 15% 34% 35% 13%
44 SINHA Zara 2% 13% 31% 35% 17% 3%
45 PECK Maia A. - 1% 6% 22% 36% 27% 8%
46 BENNETT Olivia 6% 23% 34% 25% 10% 2% -
47 YAO Yilin - 1% 10% 30% 37% 18% 3%
48 BOTNER Olivia - - 4% 16% 34% 34% 12%
49 LI Charlotte 1% 11% 27% 33% 21% 7% 1%
50 NELSON Grace E. 3% 15% 32% 32% 15% 3% -
51 BARBARA Camille - 1% 9% 24% 34% 24% 7%
52 BYBEE Lucy J. 3% 16% 32% 31% 15% 3%
53 MIINEA Elena 3% 15% 33% 33% 14% 2%
54 SHICK Klaudia 3% 17% 34% 31% 13% 2%
55 HSIU Elizabeth 1% 7% 23% 36% 26% 7%
56 MUELLER Emma M. - - 3% 15% 35% 35% 11%
57 GULLY Wren 4% 27% 39% 23% 6% 1% -
58 SHARMA Sanvi - 3% 16% 35% 34% 12%
59 DRYSDALE Lita 5% 22% 36% 27% 9% 1%
60 SMOTRITSKY Liat 30% 44% 21% 4% - -
61 CAREY Michele S. - 2% 10% 28% 36% 21% 5%
62 VICKERMAN Sofia 6% 31% 38% 20% 5% 1% -
63 PULLEN Ayah 1% 9% 25% 34% 23% 8% 1%
64 JACKSON Viktoria 14% 37% 33% 13% 3% - -
65 DALEY Keira 9% 29% 35% 20% 6% 1%
66 ZHU-HILL Alice A. - 4% 17% 33% 31% 13% 2%
67 PARKS Eliana 2% 17% 37% 31% 12% 2% -
68 PATIL Amulya - 3% 16% 32% 31% 14% 3%
69 WRIGHT Margaret A. - - 1% 6% 23% 43% 27%
70 TYTELL Elizabeth 4% 18% 34% 30% 13% 2%
71 PEELER Julia - 5% 20% 36% 30% 9%
72 WIDMANN Ceili 21% 40% 28% 9% 1% -
73 GROSSL Karina 1% 11% 29% 36% 19% 3%
74 NEELAM Neha 9% 33% 36% 17% 4% -
75 PEARSON Heila - 1% 6% 20% 34% 30% 10%
76 LI Fei 1% 6% 21% 35% 28% 9% 1%
77 LEE Olivia - 2% 10% 29% 35% 20% 4%
78 LEWIS Rachel 7% 25% 35% 24% 8% 1% -
79 ABRAMSON Mariela R. - 7% 27% 37% 22% 6% -
79 LEE Samantha X. 9% 31% 35% 19% 5% 1% -
81 PINNAMANENI Drithi - 1% 6% 20% 35% 29% 9%
82 SEUK Irene 1% 6% 20% 32% 27% 11% 2%
83 BLIN Margaux J. - - 2% 12% 32% 39% 15%
84 DONGES Anna 5% 22% 36% 27% 10% 1% -
85 ROWLAND May - 4% 21% 39% 27% 8% 1%
86 CHIEM Karen 2% 11% 27% 34% 21% 5%
87 ZHEREBCHEVSKA Veronika - - 1% 8% 27% 41% 23%
87 NIEMAN Aubrey 12% 37% 35% 14% 3% - -
89 MESCHIA Maggie - 2% 9% 24% 34% 24% 7%
90 OLORVIDA Isabella 3% 16% 33% 31% 14% 3% -
91 MADRID Maureen 1% 9% 26% 34% 22% 7% 1%
92 DOUGLAS Marketa F. 4% 22% 37% 26% 9% 1% -
93 SCHLIEP Anna J. - 2% 11% 27% 34% 21% 5%
94 MACEDON Gianna 1% 12% 38% 35% 13% 2% -
95 JHANGIANI KAVYA - 9% 27% 34% 21% 7% 1%
95 CABANIS eliza 8% 29% 37% 20% 5% 1% -
97 SAUCEDO Grecia 24% 41% 26% 8% 1% - -
98 ENGLISH Marli 4% 23% 38% 25% 8% 1% -
99 CHOI Grace - 1% 6% 19% 33% 30% 11%
100 CHIRASHNYA Mika 18% 38% 31% 12% 2% - -
100 MARTIN Adriana 10% 47% 33% 8% 1% - -
102 DONDISCH Andrea 34% 43% 19% 4% - - -
103 KIZILBASH Zara 2% 14% 30% 33% 17% 4%
104 KUMAR Anusha 6% 24% 35% 25% 9% 1%
105 STONER Shanrael M. 5% 22% 35% 27% 9% 1%
106 WONG Alexandra R. - 1% 8% 27% 41% 22%
107 KANEVSKY Samantha - 9% 28% 35% 21% 6% 1%
108 DOERR Zoe 1% 5% 18% 31% 29% 14% 3%
109 SIMHADRI Meghana 12% 32% 33% 17% 5% 1% -
110 POON Desiree 8% 28% 35% 21% 6% 1% -
111 JARUSHI Amnee 11% 33% 35% 17% 4% - -
112 CHANG Abigail 19% 38% 30% 11% 2% - -
113 XU Priscilla 38% 41% 17% 4% - - -
114 CARLSON Ava 12% 31% 33% 18% 5% 1% -
115 BYRON Karen J. 3% 16% 31% 30% 15% 4% -
116 SATO Elyse 66% 30% 4% - - - -
117 PROKOPEAS Grace 4% 19% 36% 29% 11% 1%
118 SHERTZ Kira E. 6% 24% 35% 25% 9% 1%
119 MURDOCH ROY Grace 4% 23% 37% 26% 9% 1% -
120 YOU Joyce 67% 29% 4% - - - -
121 RHEA Heather 18% 37% 30% 12% 2% -
122 DANNHAUSER Carol A. 22% 40% 28% 9% 1% -
122 HALM Alexandra F. 19% 41% 29% 9% 1% -
124 MA Katelyn 6% 24% 36% 25% 8% 1% -
125 COURTNEY Elya Rebekah 8% 30% 37% 20% 5% -
126 DAVIS Elisabeth 48% 39% 12% 1% - - -
127 MAY Courtney 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.