USA Fencing National Championships & July Challenge

Div II Women's Foil

Saturday, July 9, 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 ORVANANOS Anice - - - 2% 15% 44% 39%
2 TAKAMIZAWA Yukari - - - - 3% 24% 73%
3 MI Aileen - - 1% 7% 34% 58%
3 DUAN Konnie - - 2% 17% 47% 34%
5 FUNG Vera - 1% 7% 25% 38% 24% 5%
6 HAN Crystal - - 1% 7% 30% 43% 19%
7 MICHAELSEN Emily - 1% 8% 28% 42% 22%
8 CHOW Annabelle - 3% 18% 44% 35%
9 LUO Sandra J. - - 1% 6% 26% 44% 23%
10 HOBSON Ava 2% 22% 43% 27% 5%
11 XIANG Emma - 5% 18% 34% 31% 11%
12 TOLBERT Zoe - - 1% 5% 22% 42% 30%
13 LEE Allison - 1% 10% 31% 37% 17% 3%
14 LIPKOVITZ Rivka - 5% 24% 45% 23% 3%
15 SHENG Chuxi - - 3% 19% 39% 31% 8%
16 LEE Ariana - 1% 7% 24% 39% 26% 3%
17 LIU Siyuan - - 1% 7% 29% 45% 18%
18 CHEN Chloe I. - - - 4% 22% 45% 28%
19 RENTON Samantha - - - 1% 11% 45% 43%
20 STRUGAR Steliana - 5% 21% 37% 29% 8%
21 ZHUANG Christina 1% 6% 22% 34% 27% 9% 1%
22 LAMBERT Mahala - - - 5% 23% 43% 28%
23 DAVIS Bonnie Z. - - - 3% 20% 50% 26%
24 SHIH Diane - - - 3% 17% 45% 35%
25 YIN Helen - 1% 7% 26% 42% 24%
26 KO Claire 2% 16% 35% 32% 13% 2%
27 JIANG Yangying (Amanda) - 3% 14% 34% 36% 13%
28 ZHOU Catherine - 5% 23% 37% 26% 8% 1%
29 WU Irene M. - - 2% 10% 29% 40% 20%
30 ZHENG Julie - 1% 9% 29% 40% 20%
31 PATTERSON Natalia 6% 28% 37% 22% 6% 1%
32 CASTANEDA Keira 8% 27% 35% 22% 7% 1%
33 BOLES Amanda X. 7% 27% 37% 22% 6% 1%
34 DU Hannah - - 3% 15% 34% 35% 13%
35 DO Leila 2% 12% 29% 34% 19% 4% -
36 FUNG Emma - 2% 13% 33% 37% 15%
37 WANG Jasmine - 2% 11% 32% 38% 16% 2%
38 WEBB Ella - - 3% 13% 32% 37% 15%
39 BOLES Sophia - - 4% 18% 35% 32% 11%
40 FELLMAN Sara - 2% 16% 35% 32% 13% 2%
41 WONG Sophia M. - - 1% 7% 27% 45% 20%
42 YANICELLI Sloane 1% 12% 38% 34% 13% 2% -
43 LI Sophia M. - 3% 19% 38% 31% 9%
44 LENZ Zoe N. 4% 21% 39% 28% 8% 1%
44 SUN Emily 1% 15% 37% 33% 13% 2%
46 HUANG NATALIE - 3% 17% 38% 32% 9%
46 ZHANG Eunice - 7% 28% 39% 22% 4%
48 KETTELLE Molly 2% 13% 33% 34% 16% 3%
49 HAN Ashley 1% 17% 38% 32% 12% 2%
50 WILBERT Gwendolyn (Gwen) A. - 4% 19% 39% 31% 6%
51 OLIVEIRA Lavinia M. - 2% 13% 33% 37% 14%
52 SHA Yi Ling - - 5% 22% 38% 27% 7%
53 HSIEH Rebecca - - 7% 28% 41% 20% 3%
54 RAO Sonia D. - 2% 16% 37% 32% 11% 1%
55 LIU Sophia - - 3% 16% 40% 33% 9%
56 WEI Angela - 4% 25% 42% 24% 5% -
57 PAULUS Isabella - 9% 36% 38% 15% 2% -
58 POWERS Meredith R. 2% 11% 29% 35% 20% 4%
59 BEAVER Hannah 1% 11% 29% 36% 19% 4%
60 BHAN Zala 1% 8% 25% 37% 24% 6%
61 HAN Katherine - 9% 36% 38% 14% 2% -
62 YE Eileen - - 1% 7% 27% 43% 22%
63 LIN Ju-An Adrianne 5% 21% 35% 27% 10% 1%
64 CABALU Alaina 5% 31% 44% 17% 3% - -
65 GANDLURI Sreehitha (Sarah) 5% 24% 40% 25% 6% 1% -
66 UNGERER Frieda - 3% 20% 41% 30% 6% -
67 COKER Bettina M. - - 6% 27% 40% 23% 4%
68 SUH Kailey E. - - 5% 19% 36% 30% 9%
69 LI Eleanor 11% 42% 36% 10% 1% - -
70 VOHRA Anusha - 5% 19% 35% 31% 10%
71 MI Anning - 2% 11% 31% 38% 18%
72 CANNON Lira J. - - 3% 22% 47% 27%
73 SIMONOV Dasha - 3% 17% 36% 33% 11%
74 CHEN Jasmine 13% 33% 34% 16% 4% -
75 HSIEH Sabrina 3% 18% 37% 31% 10% 1% -
76 D'ORAZIO Sofia V. - 5% 19% 34% 30% 11% 2%
77 ASCHETTINO Aurora 1% 11% 36% 40% 13%
78 MEYER Claudia 2% 13% 31% 33% 17% 3% -
79 SCHMIDT Victoria - 2% 18% 40% 32% 7% -
79 ZHANG Selena 1% 7% 26% 38% 23% 5% -
81 LEVY Avery 2% 17% 36% 31% 12% 2%
82 PARK Leah 1% 11% 32% 38% 16% 2%
83 LONG Madeline M. - 4% 20% 38% 30% 8%
84 QUINN Anna 29% 48% 20% 3% - -
85 DEMOSS Mercedes 14% 37% 34% 13% 2% -
86 NUNLEY Victoria 7% 30% 42% 18% 3% -
87 BAWA Sahana - 6% 27% 37% 23% 6% 1%
88 BASSIK Eva 2% 13% 32% 33% 16% 4% -
89 NIKOLIC Alexandra - - 4% 22% 39% 28% 6%
90 KUNDU TRISHA 7% 29% 39% 21% 4% - -
91 TAYLOR-CASAMAYOR Marisol 22% 40% 27% 9% 1% - -
92 MCLAURIN Semini 25% 40% 25% 8% 1% - -
93 ZHAO Aimee 36% 48% 14% 2% - - -
94 NEWMAN Ariel 1% 31% 41% 21% 5% 1% -
95 TOBIN Brean 5% 31% 42% 20% 3%
96 HERNANDEZ Melany 41% 41% 15% 2% - -
97 ROLOFF Katarina M. 5% 23% 38% 26% 8% 1%
98 HUNT Abigail S. 16% 37% 32% 12% 2% -
99 FULIGNI Isabella 28% 46% 22% 4% - -
100 SETHRE Traci 3% 17% 33% 30% 13% 2% -
101 ROHRING Anna 10% 34% 37% 16% 3% - -
102 NIRGUDE Siddhi 14% 48% 30% 7% 1% - -
102 CHENG Isa 69% 28% 3% - - - -
104 STONE Colleen R. 16% 53% 26% 4% - - -
105 SCARLETT Skye - 7% 29% 38% 21% 5% -
105 TOMASI Samantha 24% 43% 26% 6% 1% - -
107 BRUSH Sydney 10% 33% 37% 16% 3% - -
108 SULTER Aurelie 10% 32% 36% 18% 4% -
109 KAPOOR Saanvi 65% 30% 5% - -
110 ZAMELIS Madelyn 24% 46% 25% 4% - -
111 ZHENG Zoe 10% 36% 35% 15% 3% - -
112 SHELARE Mehal 28% 44% 23% 5% - -
113 MADSEN Lindsey 56% 37% 7% - - - -
114 GREENLEAF Ella 40% 41% 16% 3% - -
115 MURDOCH ROY Grace 31% 47% 18% 3% - - -
115 DONDERIS Katherine 3% 17% 34% 31% 13% 2% -
117 BURTON Sequoia 11% 52% 30% 6% - - -
118 NORTH Zoe M. 35% 46% 16% 2% - -
118 CRANFILL Madison 88% 12% 1% - - -
120 OWINGS Anna 58% 35% 6% - - - -
120 BROCE Lilianna 63% 33% 4% - - - -
120 HOLCOMB Emily 97% 3% - - - - -
123 KLINE Rachel 39% 43% 16% 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.