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October NAC

Div I Women's Épée (Day 2)

Saturday, October 13, 2018 at 10:00 AM

Milwaukee, WI - Milwaukee, WI, 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 7 8 9 10 11 12
1 HURLEY Kelley A. - 2% 11% 31% 37% 17% 2%
2 NIXON Catherine (Kasia) D. - 1% 9% 25% 35% 23% 6%
3 HOLMES Katharine (Kat) W. - 1% 8% 22% 34% 26% 8%
3 WASHINGTON Isis - - 4% 20% 43% 31% 3%
5 GUZZI VINCENTI Margherita A. - 1% 8% 32% 47% 12%
6 SIRICO Amanda E. - 2% 12% 29% 34% 19% 4%
7 GARINA Ania (Ganusia) - - - 1% 4% 10% 19% 25% 22% 13% 5% 1% -
8 CEBULA Anne 32% 42% 20% 5% - -
9 CONSTANTINO Lola - - 5% 24% 42% 25% 3%
10 KOPECKY Lydia J. - 5% 20% 35% 28% 10% 1%
11 ANGEN Katie R. - - 3% 17% 41% 36% 4%
12 KETKAR Ketki - - - - - 1% 6% 16% 27% 29% 17% 4%
13 GUO ZI SHAN - - - - 2% 7% 16% 25% 25% 16% 6% 1%
14 NIXON Caroline (Karolina) L. - - 5% 21% 40% 29% 4%
15 PARK Faith K. - - - - - - - 1% 6% 17% 31% 31% 13%
16 BATES Cassandra L. 2% 14% 30% 31% 17% 5% 1%
17 FALINSKA Julia - - 1% 4% 13% 24% 28% 20% 8% 2% -
18 MONTOYA Kimberlee C. - 1% 7% 19% 29% 25% 14% 4% 1% - -
19 ZOZULYA Christina S. - - - - - 2% 6% 16% 28% 29% 16% 3%
20 LIN Jessica Y. 1% 7% 31% 45% 15% 1%
21 SHEFFIELD Lake Mawu 1% 7% 25% 37% 24% 7% 1%
22 LURYE Sarah - 7% 26% 38% 23% 6% -
23 KHAMIS Yasmine A. - - 3% 10% 20% 27% 23% 12% 4% 1% - -
24 STEWART Tatijana I. 1% 7% 22% 33% 26% 10% 2%
25 MO Victoria - 3% 16% 35% 32% 11% 1%
26 HAMILTON Pauline S. 2% 13% 30% 34% 18% 3%
27 DANIEL Chloe L. 1% 5% 17% 30% 29% 15% 3%
28 LIU Kai (Charlene) - - - 1% 3% 11% 23% 29% 22% 9% 2% -
30 SNIDER Margot (Maggie) 5% 22% 35% 26% 10% 2% -
31 MIERCZUK Tessa - - - - 2% 6% 15% 25% 27% 18% 7% 1%
32 CAMPBELL Anahit M. - - - - 1% 4% 11% 22% 28% 21% 10% 2% -
33 HURLEY Courtney L. - - 4% 22% 42% 27% 5%
34 CANDREVA Greta H. - 1% 6% 21% 35% 28% 9%
35 CHRETIEN PAULINE - - - 1% 3% 11% 21% 27% 22% 12% 4% -
36 KALONJI Anastasia T. - 1% 8% 28% 39% 21% 3%
37 DESAMOURS Sabine I. - - - 3% 8% 17% 25% 24% 15% 6% 1% - -
38 VIERHELLER Giana (Gigi) L. - 3% 15% 36% 33% 12% 2%
39 PIRKOWSKI Amanda L. - 1% 11% 33% 37% 15% 2%
40 LIANG Rui ( Jessica ) 3% 15% 30% 31% 16% 4% -
41 PAUL Anna L. - 4% 20% 35% 28% 11% 1%
42 MANGANO Ariana J. - 5% 17% 32% 30% 14% 2%
42 KHROL Jaclyn 1% 9% 25% 33% 23% 8% 1%
44 RATZLAFF Jocelyn T. - - - - 2% 6% 16% 25% 26% 17% 7% 2% -
45 GAO Emily L. 1% 6% 19% 31% 27% 13% 2%
46 OXENREIDER Tierna A. 2% 15% 35% 33% 13% 2%
47 ADRAGNA Olivia - - - 2% 9% 19% 27% 24% 14% 5% 1% -
48 YEU Irene - 2% 12% 31% 37% 17%
49 DUNLAP-SMITH Azaline I. 1% 8% 22% 32% 25% 11% 2%
50 YEFREMENKO Dariya (Dasha) (Dasha) 2% 13% 28% 31% 19% 6% 1%
51 TYLER Syd - 1% 5% 15% 27% 27% 17% 6% 1% - - -
52 PROVENZA Hannah G. - - - 1% 3% 8% 16% 23% 23% 16% 7% 2% -
53 LEUNG Karina Kay Sze - - - - 2% 7% 16% 24% 25% 16% 7% 1% -
54 ENO Megan E. 1% 8% 25% 36% 23% 6% -
55 MARTUS Cosima O. 1% 6% 18% 27% 26% 15% 6% 1% - - -
56 O'REILLY Meghan J. - - - 1% 3% 9% 20% 28% 24% 12% 3% -
57 TOBY Natalia R. 1% 10% 29% 34% 20% 5% 1%
58 PAPADOPOULOS Maria - 2% 8% 17% 24% 24% 16% 7% 2% - - -
59 ADAMS KIM Madeline 17% 38% 31% 12% 2% - -
60 PATURU Meghana - - 2% 7% 17% 25% 25% 16% 7% 2% - - -
61 BULAVKO Sonia - - - 1% 6% 14% 23% 25% 19% 9% 3% - -
62 DOLGONOS Melanie 13% 36% 34% 14% 2% - -
63 HASKEL Darby H. - 1% 6% 16% 27% 27% 16% 6% 1% - -
64 CHOY LeeAnn 2% 14% 31% 32% 17% 4% -
65 WATRALL Christina - - - - - 1% 5% 13% 23% 28% 20% 8% 1%
66 TANIBAJEVA Rachel L. 1% 7% 24% 37% 25% 6% 1%
67 PHILLIPS Summer E. - 4% 18% 33% 30% 13% 2%
68 CHOI Lyla 2% 12% 29% 33% 19% 5% -
69 TONCHEVA Victoria M. - - - 1% 3% 9% 18% 25% 23% 14% 5% 1% -
70 HILL Gabrielle (Gabby) M. - - - 1% 5% 12% 20% 24% 20% 12% 5% 1% -
71 BARNA Isabella - - - 2% 7% 16% 25% 25% 16% 6% 1% -
72 DUMAS Courtney A. 1% 8% 24% 34% 25% 8% 1%
73 KOMAR Sofia 4% 24% 39% 25% 7% 1%
74 GRADY Miriam A. 3% 17% 34% 31% 13% 2%
75 JOYCE Michaela - - - 4% 19% 44% 33%
76 BEITTEL Chloe F. - - - - 1% 4% 10% 20% 26% 22% 12% 4% 1%
77 KIMURA Kimberley H. - 2% 6% 15% 23% 24% 17% 9% 3% 1% - - -
78 BINDAS Blodwen S. 2% 12% 29% 32% 19% 6% 1%
79 CHU Audrey - - - - - 2% 7% 16% 24% 25% 17% 7% 1%
80 SCALA Emma - 1% 5% 14% 23% 25% 18% 10% 3% 1% - - -
81 BEDDINGFIELD Claire E. 1% 6% 21% 34% 28% 10% 1%
82 MCFADDEN Christa M. - - 1% 5% 14% 24% 26% 19% 9% 2% - -
82 PLENTY Kenyata (Kenya) (Kenya) G. 3% 17% 32% 30% 14% 3% -
84 LEIGHTON Eleanor T. 17% 37% 31% 13% 3% - -
85 YAMANAKA Mina 8% 33% 40% 16% 2% -
86 MICEK Alexandria (Ally) L. - 3% 10% 22% 28% 22% 11% 3% 1% - - -
87 BERDICHEVSKY Adelle M. - 1% 5% 15% 25% 26% 17% 8% 2% - - -
88 LIVERANT Jordan S. - 2% 7% 17% 25% 24% 16% 7% 2% - - - -
88 HUSISIAN Hadley N. - 1% 9% 28% 38% 20% 3%
90 KANG Dahyun - - - 2% 6% 14% 23% 25% 18% 9% 3% - -
91 KWON Athina - - - - 1% 5% 14% 25% 28% 19% 7% 1%
92 GUPTA Ananya B. - - 1% 5% 13% 22% 26% 20% 10% 3% 1% -
92 LANTIGUA Adda 1% 7% 19% 28% 25% 14% 5% 1% - - - -
94 CHIMAHUSKY Rebecca 20% 43% 28% 8% 1% - -
95 GILL Kaitlyn Y. - - 3% 11% 21% 27% 22% 11% 4% 1% - - -
96 SHAMSIAN Shaya 1% 10% 33% 35% 17% 4% -
97 QURESHI Aafreen - - 1% 3% 10% 20% 26% 23% 13% 4% 1% -
98 LOMBARD Ella 22% 39% 27% 10% 2% - -
99 LIM Clarice - 2% 9% 19% 26% 23% 14% 5% 1% - - -
100 KIM Diane E. 5% 19% 30% 26% 14% 5% 1% - - - - -
101 RAUSCH Ariana (Ari) M. 16% 39% 33% 11% 1% -
102 BRILL Sophie - - - 2% 7% 17% 26% 26% 16% 5% 1% -
103 DESJARDINS Rosalie - - - 3% 9% 19% 26% 23% 14% 5% 1% -
104 SZPAK Lara K. - 2% 8% 18% 26% 24% 14% 6% 1% - - -
105 MALDONADO Pilar I. - 2% 7% 17% 25% 24% 15% 7% 2% - - - -
106 LAWSON Marie A. - - 4% 12% 22% 26% 20% 10% 4% 1% - - -
107 WHITTEMORE Lucy K. - 3% 12% 24% 28% 20% 9% 3% 1% - - - -
108 BELAOUSSOFF Kira - 1% 4% 13% 23% 26% 19% 9% 3% 1% - -
108 NGUYEN Kaylin A. - - 2% 8% 18% 25% 24% 15% 6% 2% - - -
110 ISERT Sarah - 3% 12% 25% 29% 20% 8% 2% - - - -
111 PROCTOR Sara J. 1% 7% 26% 37% 23% 6% 1%
112 SIMMONS Camille M. 8% 28% 37% 22% 6% 1% -
112 O'REILLY Aeryn E. - - - 1% 4% 11% 21% 26% 22% 11% 3% -
114 WU Amelia - - - - - 1% 6% 14% 25% 27% 19% 7% 1%
115 PYO Yunice - 3% 10% 20% 25% 22% 13% 5% 2% - - - -
116 NAVARRO Ava B. - - 3% 9% 20% 27% 23% 13% 4% 1% - -
117 SOIN Anika A. - 2% 7% 16% 25% 25% 16% 7% 2% - - - -
118 IGOE Nirali B. - 1% 7% 16% 25% 25% 16% 7% 2% - - -
119 DIDONATO Gianina L. 1% 5% 15% 26% 27% 18% 7% 2% - - - - -
120 MOTON Mckenzie R. 1% 6% 18% 28% 26% 15% 5% 1% - - - -
121 WADE-CURRIE Ava S. - - - 2% 7% 17% 25% 25% 16% 6% 1% -
122 KIM Natalie S. - 2% 8% 20% 27% 24% 13% 5% 1% - - - -
123 GAO Aretha R. - 2% 10% 25% 33% 23% 6%
124 WALLACE Katherine C. 8% 26% 35% 22% 7% 1% -
125 ADVINCULA Anabella E. 6% 23% 36% 26% 8% 1% -
126 WEISS Talia L. - 4% 16% 30% 30% 16% 3%
127 TONG Sarah Shen 2% 14% 34% 33% 14% 2% -
128 AMADOR Marta 3% 18% 34% 30% 13% 3% -
129 TAPIA Sandy 6% 25% 36% 24% 8% 1% -
130 KUNDU Anisha 3% 17% 32% 30% 14% 3% -
131 PRASAD Anagha 1% 6% 24% 38% 25% 6% -
132 BROOKS Tean R. 1% 7% 26% 41% 23% 4%
133 ROBLES Elena 16% 39% 33% 11% 1% -
134 CAO Catherine H. 2% 15% 34% 34% 14% 2%
135 WEISS Rachel 9% 29% 35% 20% 6% 1% -
136 LANZMAN Anna B. 18% 39% 30% 11% 2% - -
137 WOLF Isabella A. 1% 10% 32% 36% 18% 4% -
138 ROBERTSON Lily 15% 37% 33% 13% 2% - -
139 YOON Julia J. 5% 21% 34% 27% 11% 2% -
140 JOBALIA Ria 5% 22% 35% 26% 9% 1%
141 LUONG Shirley 15% 40% 34% 10% 1% - -
142 PRIMES Amanda M. 13% 32% 32% 17% 5% 1% -
143 KOZAK Maeve E. 23% 44% 27% 6% - -
144 SIBLEY Elisabeth J. 13% 36% 35% 14% 2% - -

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.