USA Fencing National Championships & July Challenge

Div III Women's Foil

Thursday, July 7, 2022 at 2:00 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 TAKAMIZAWA Yukari - - - - - 9% 91%
2 ZHANG Eunice - 2% 12% 32% 38% 16%
3 HAN Crystal - 3% 18% 37% 32% 10%
3 KETTELLE Molly - 1% 6% 23% 38% 27% 6%
5 HSIEH Rebecca - - - 4% 17% 41% 38%
6 LAMBERT Mahala - - - 1% 6% 32% 61%
7 LIU Sophia - 2% 12% 31% 38% 17%
8 CASTANEDA Keira - - 2% 13% 35% 41% 9%
9 MEYER Claudia - 1% 9% 28% 37% 21% 4%
10 LEE Allison - - 2% 10% 27% 39% 22%
10 KO Claire - 2% 11% 27% 33% 21% 5%
12 HWANG Alison - - 3% 14% 33% 36% 14%
13 PARK Caitlyn - 1% 9% 26% 36% 23% 5%
14 BHAN Zala - - 2% 13% 33% 37% 15%
15 RAO Sonia D. - - 5% 20% 36% 30% 9%
16 MU Allison - 5% 20% 38% 30% 7%
17 LIU Siyuan - - - 4% 19% 42% 34%
18 FUNG Vera - 1% 6% 20% 35% 29% 9%
19 SIMONOV Dasha - - 2% 12% 39% 47%
20 LIN Ju-An Adrianne - - 2% 12% 32% 37% 16%
21 VAUGHAN Norah - - 3% 18% 41% 35% 2%
22 HAN Ashley - 1% 8% 26% 38% 23% 5%
23 OTEYZA Camille - 1% 7% 26% 38% 23% 5%
24 QUINN Anna 7% 26% 37% 23% 6% 1%
25 UNGERER Frieda - 5% 19% 33% 28% 12% 2%
26 COKER Bettina M. - - 4% 18% 35% 32% 11%
27 DO Leila - 1% 9% 27% 36% 22% 5%
28 PATTERSON Natalia - 8% 33% 43% 14% 1%
29 ZHUANG Christina - 3% 17% 35% 33% 11%
30 MUSTO Isabella - 3% 14% 32% 33% 16% 3%
31 LENZ Zoe N. 1% 6% 21% 34% 27% 10% 2%
32 TAYLOR-CASAMAYOR Marisol - 11% 33% 35% 16% 3% -
33 ZHOU Catherine - 1% 4% 16% 33% 33% 13%
34 BEAVER Hannah - 2% 9% 24% 34% 25% 7%
35 SUH Kailey E. - - 1% 10% 31% 40% 18%
36 CHARALEL Jessica 1% 6% 19% 31% 28% 13% 2%
37 VOHRA Anusha - - 1% 10% 31% 40% 18%
37 PARK Leah - 1% 9% 28% 37% 21% 4%
39 ASCHETTINO Aurora - - 3% 13% 32% 37% 15%
40 HSIEH Sabrina 7% 26% 37% 23% 7% 1% -
41 BASSIK Eva - 1% 8% 27% 37% 22% 5%
42 LEVY Avery - 3% 19% 35% 29% 11% 2%
43 MICHAELSEN Emily - - - 6% 37% 56%
44 CHEN Jasmine - - 4% 19% 36% 31% 9%
45 SHA Yi Ling - - 5% 23% 39% 27% 6%
46 SUN Emily - 1% 8% 25% 36% 24% 6%
47 LIN Victoria T. 1% 5% 20% 33% 28% 11% 2%
48 HUNT Abigail S. 1% 9% 26% 34% 23% 7% 1%
49 SULTER Aurelie - 4% 16% 31% 31% 15% 3%
50 TOBIN Brean - 4% 18% 36% 30% 10% 1%
51 NUNLEY Victoria - 4% 22% 39% 28% 7% -
51 SETHRE Traci - 2% 10% 27% 35% 22% 5%
53 BAWA Sahana 1% 14% 38% 34% 12% 1%
54 FELLMAN Sara - 1% 6% 21% 37% 28% 7%
55 WANG Jasmine - - 2% 12% 31% 38% 17%
56 WEI Angela - 3% 18% 37% 30% 11% 1%
57 YANICELLI Sloane 1% 7% 23% 34% 25% 9% 1%
58 LI Eleanor 1% 7% 23% 35% 25% 8% 1%
59 WILBERT Gwendolyn (Gwen) A. - 2% 10% 27% 35% 21% 5%
60 WANG Celine S. 2% 14% 31% 32% 16% 4% -
61 LEE emily 2% 11% 29% 34% 19% 5% -
62 SCARLETT Skye 2% 21% 39% 28% 9% 1%
63 SHUM Elizabeth - 4% 17% 32% 30% 14% 3%
64 KUNDU TRISHA 11% 30% 34% 19% 6% 1% -
65 DONDERIS Katherine 1% 7% 21% 32% 27% 11% 2%
66 HSIUNG Samantha - - 3% 16% 36% 34% 11%
67 MORALES Paulina - 5% 18% 33% 30% 12% 2%
68 LONG Madeline M. - - 4% 25% 53% 19%
69 HERNANDEZ Melany 37% 41% 17% 3% - -
70 CABALU Alaina 2% 24% 46% 25% 4% -
71 HAN Katherine - 6% 25% 39% 25% 5% -
72 GANDLURI Sreehitha (Sarah) 3% 15% 32% 33% 15% 3% -
73 VAYNBERG Ellen 8% 29% 36% 21% 6% 1% -
74 D'ORAZIO Sofia V. - 1% 7% 24% 36% 25% 7%
75 VELAZQUEZ Rosa T. - 4% 16% 30% 31% 16% 3%
76 FULIGNI Isabella 2% 16% 36% 31% 12% 2% -
77 NIRGUDE Siddhi 13% 35% 34% 15% 3% - -
78 CHAKRAPANI Ila 39% 41% 16% 3% - - -
79 GREENLEAF Ella 7% 40% 40% 12% 1% -
79 NEWMAN Ariel 3% 17% 35% 31% 12% 2%
81 LANDMAN Charlotte 13% 35% 34% 15% 3% -
82 NORTH Zoe M. 7% 30% 38% 21% 5% -
83 BRUSH Sydney 14% 36% 33% 14% 3% - -
84 SA Milla 17% 38% 31% 12% 2% - -
85 ROMERO Sophia - 2% 10% 26% 35% 22% 5%
86 ROLOFF Katarina M. 1% 5% 20% 35% 28% 10% 1%
87 ROHRING Anna - 11% 35% 36% 15% 2% -
87 ZAMELIS Madelyn 2% 29% 41% 22% 5% 1% -
89 LIU Lucy 30% 49% 18% 3% - - -
90 STONE Colleen R. 5% 24% 36% 25% 9% 1% -
91 DEMOSS Mercedes 6% 24% 34% 25% 9% 2% -
92 SCHMIDT Victoria 1% 7% 25% 37% 25% 6%
93 YIM Rachael 5% 22% 37% 27% 8% 1%
94 SHELARE Mehal - 4% 21% 39% 29% 7%
95 MURDOCH ROY Grace 17% 37% 31% 13% 3% - -
96 ZHENG Zoe 6% 25% 36% 24% 7% 1% -
97 PAULUS Isabella 1% 11% 39% 35% 13% 2% -
98 CHENG Isa 69% 28% 2% - - - -
98 MCLAURIN Semini 6% 24% 35% 25% 9% 2% -
100 NELSON Gwendolyn H. 2% 10% 28% 35% 20% 4% -
100 YOUNG Abigail 38% 41% 17% 3% - - -
102 ZHAO Aimee 33% 48% 16% 2% - - -
103 OWINGS Anna 15% 43% 31% 9% 1% - -
104 JOHNSON Maya 2% 26% 41% 24% 6% 1% -
105 KLINE Rachel 3% 15% 31% 31% 16% 4% -
106 WANG Kelsey 79% 20% 1% - - - -
107 DURR Strahlia Devi 4% 19% 35% 30% 11% 2% -
108 TOMASI Samantha 42% 40% 15% 3% - - -
109 KAPOOR Saanvi 7% 25% 35% 24% 9% 1% -
110 DOBRINEN Elizabeth 2% 13% 31% 33% 17% 4% -
111 BABB Cicely 44% 42% 13% 2% - - -
112 BURTON Sequoia 1% 12% 30% 34% 18% 4% -
113 MADSEN Lindsey 33% 46% 18% 3% - - -
114 BROCE Lilianna 69% 27% 3% - - -
115 HOLCOMB Emily 84% 15% 1% - - - -
116 PAULSEN Amy 8% 29% 38% 21% 5% -
116 GADIYARAM Sushama 68% 27% 4% - - -
118 LEMASTERS Elise M. 10% 31% 35% 18% 5% 1% -
119 WIDMANN Ceili 7% 26% 36% 23% 7% 1% -
119 UNGLAUB Emma 5% 34% 40% 18% 4% - -
119 CRANFILL Madison 3% 18% 37% 31% 10% 1% -
122 SAUCEDO Fernanda 31% 45% 19% 4% - - -

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.