March NAC

Y-14 Women's Épée

Sunday, March 3, 2019 at 8:00 AM

Cleveland, OH - Cleveland, OH, 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 PARK Faith K. - - - - 3% 23% 74%
2 KHAMIS Yasmine A. - - - 1% 7% 34% 58%
3 KUZNETSOV Victoria - - 2% 12% 33% 38% 14%
3 DING Jiahe (Heidi) - - - 1% 7% 34% 58%
5 LIN Katie Y. - 1% 8% 23% 35% 25% 7%
6 O'DONNELL Amanda A. - - - 2% 13% 41% 44%
7 DROVETSKY Alexandra M. - - 3% 15% 33% 35% 14%
8 FALLON Kyle R. - 2% 9% 26% 36% 22% 4%
9 WANG Karen - - 1% 7% 25% 41% 25%
10 MALDONADO Pilar I. - - 1% 9% 31% 41% 19%
11 GABERKORN Nadia - - 1% 7% 25% 42% 25%
12 ZAFFT Tatiana M. - - 1% 5% 22% 42% 30%
13 CHIN Isabella - - 2% 11% 30% 38% 18%
14 MEHROTRA Anya - - 2% 13% 35% 37% 13%
15 TYLER Syd - - 2% 13% 32% 37% 16%
16 PARTE Isabella B. - 9% 38% 40% 12% 1% -
17 GANDHI Sedna S. - - - 2% 15% 44% 39%
18 GEBALA Natalie Brooke A. - 1% 10% 31% 40% 18%
19 DANIEL Olivia 2% 12% 31% 37% 17% 2%
20 MILLETTE Marie Frederique - - 1% 7% 26% 45% 21%
21 NING Emma - - 3% 20% 42% 29% 5%
22 YANG Miranda (Yinuo) - 1% 7% 28% 40% 21% 4%
23 ZHENG Ava - 2% 10% 26% 35% 22% 5%
24 KIM Diane E. - - 5% 24% 48% 23%
25 LEUNG Natalie - - 2% 13% 44% 41%
26 LAN Alice S. 1% 7% 25% 37% 24% 6%
27 SMITH Grace L. - - 2% 15% 37% 34% 11%
28 BALAKRISHNAN Monica S. - 2% 10% 27% 35% 22% 5%
29 KIM Elizabeth Y. - 3% 14% 32% 33% 15% 2%
30 PALANSKI Cate - 3% 14% 29% 32% 18% 4%
31 NGUYEN Kaylin A. - - 3% 14% 31% 35% 17%
32 KIM Erika S. 1% 10% 26% 34% 22% 7% 1%
33 GHIDINA O'Livia G. - - 2% 14% 36% 36% 12%
34 REID Sobia - 3% 14% 29% 32% 18% 4%
35 LEE Michelle - - 1% 10% 33% 42% 13%
36 RUNIONS Emersyn - - 2% 12% 39% 41% 5%
37 WU Amelia - - - 2% 13% 39% 46%
38 CHEN Zhengnan(Janet) - - - 1% 10% 40% 49%
39 LOWENSTEIN Penelope J. - - 3% 15% 35% 35% 11%
40 ZHANG Tina - 1% 7% 22% 36% 27% 7%
41 MUCSI Angela Lilla - 1% 7% 26% 41% 25%
42 KETKAR Mallika - 2% 14% 35% 36% 13%
43 NELSON-LOVE Lily B. - - - 4% 20% 43% 32%
44 GU Sarah - 1% 7% 23% 36% 26% 6%
45 BURN Lauren M. - 4% 24% 39% 25% 7% 1%
46 YU Nicole J. 1% 7% 22% 34% 26% 9% 1%
47 SON Katherine (Injee) 1% 7% 26% 37% 23% 6% -
47 SHEN Stephanie - 5% 26% 38% 23% 6% 1%
49 KOKES Ava 10% 32% 35% 18% 4% - -
50 WANG Elizabeth - - 1% 5% 21% 41% 32%
51 MCCUTCHEN Lauren (Lulu) - 1% 9% 29% 38% 20% 3%
52 CHERNIS Zoe C. - 1% 6% 23% 39% 27% 4%
53 WANG anne - 4% 16% 31% 31% 15% 2%
54 SUN XiaoQi (Angelica) - 1% 5% 19% 36% 31% 9%
55 MACHULSKY Leehi - - - 4% 27% 69%
56 ZHU Heidi - 2% 12% 32% 38% 17%
57 XIAO Ruien - 7% 28% 39% 22% 5%
58 SAAL Anna 3% 20% 38% 30% 9% -
59 GUMAGAY Erika L. - 5% 20% 33% 28% 11% 2%
60 LIU Christina A. - - 1% 13% 39% 38% 8%
61 AHUJA Arianna - 1% 11% 35% 36% 15% 2%
62 CHAN Elizabeth - 1% 9% 31% 38% 18% 3%
63 REMEZA Alissa - 2% 11% 32% 38% 16% 2%
64 ZENG Katrina 35% 43% 18% 3% - - -
65 LI Bingqi 2% 12% 33% 35% 16% 3%
66 LU Shiqi - 3% 14% 30% 33% 17% 3%
67 KIM Zoe L. 1% 8% 25% 35% 24% 8% 1%
68 REID Anousheh - 3% 13% 31% 34% 16% 3%
69 DOROSHKEVICH Victoriia - 1% 8% 23% 34% 25% 7%
69 SHUM Jessica 5% 28% 42% 20% 4% - -
71 SCHULTZ Gillian 2% 14% 34% 35% 14% 2% -
72 TAYLOR Kiera S. 3% 16% 34% 33% 13% 1%
73 LEANG Priscilla Y. 1% 10% 28% 36% 21% 4%
74 CHERNYSHOVA Victoria - 4% 20% 37% 30% 8%
75 PALMER Amelia C. 3% 23% 41% 26% 6% -
76 SMUK Daria A. 5% 24% 37% 25% 7% 1%
77 CHOI Eunice 2% 19% 41% 31% 7% -
78 GREGSTON Lailia B. 3% 21% 36% 27% 10% 2% -
79 GAJJALA Sharika R. - 4% 20% 38% 29% 8% 1%
81 JIN Jasmine 1% 10% 30% 36% 18% 4% -
81 XING Carol 7% 23% 33% 25% 10% 2% -
83 GAO Judy - 1% 14% 37% 35% 12% 1%
84 PANT Anisha 22% 47% 25% 5% 1% - -
85 TEMIRYAEV Anna M. - 4% 16% 31% 30% 15% 3%
87 TAYLOR-CASAMAYOR Maia - 4% 15% 30% 31% 16% 3%
88 BAKSA Frances E. - 2% 10% 26% 34% 22% 5%
88 XUAN Nicole J. 3% 17% 32% 29% 14% 3% -
90 MALLAVARPU Aarthi C. - 2% 11% 31% 38% 17% 2%
91 ALEXANDROV Katherine S. - 5% 19% 35% 29% 11% 1%
92 WU ALLYSON 6% 28% 37% 22% 6% 1% -
93 ZHANG Victoria R. 2% 11% 27% 32% 20% 7% 1%
94 BECCHINA Olivia 1% 6% 21% 35% 27% 9% 1%
95 DARANOUVONG Logan 1% 8% 30% 39% 19% 3% -
95 JOSEPH mikayla 18% 44% 29% 8% 1% - -
97 LESSNE Lauren 1% 9% 25% 34% 23% 7% 1%
98 CALDERA Lexi I. - 6% 26% 39% 23% 5%
99 WANG Nora - 3% 16% 35% 34% 12%
100 CAPELLUA Mariasole 2% 13% 30% 32% 18% 5% 1%
101 JOYAL Anne-Sophie 40% 46% 13% 1% - - -
102 LEE Yedda 1% 8% 26% 35% 22% 7% 1%
102 YAO KATHARINE 1% 7% 22% 35% 26% 8% 1%
102 SCHMULTS Sophie W. 45% 40% 13% 2% - - -
105 WU Fan - 5% 20% 35% 28% 10% 1%
106 JAMES Josephine 9% 30% 35% 20% 6% 1% -
107 PADHYE Tanishka - 1% 9% 30% 38% 19% 3%
108 KENT Elizabeth J. 14% 37% 34% 13% 2% - -
109 MUELLER Emma M. 5% 21% 33% 26% 11% 2% -
110 YIN Julia - 1% 8% 26% 38% 23% 4%
111 HUNTER Madison 1% 10% 31% 37% 18% 3% -
112 DILLE Carolina G. 29% 43% 22% 6% 1% - -
113 ZHENG Linden 25% 50% 22% 3% - - -
114 SHAH Chloe 47% 40% 12% 1% - - -
115 PEHLIVANI Zara 1% 8% 28% 38% 21% 4% -
116 RAZA Nadia A. 16% 38% 32% 12% 2% - -
117 HU Chelsea 33% 43% 20% 4% - -
118 ELSTON Sophia 33% 42% 20% 4% - -
120 HESS Heidi J. 4% 22% 36% 27% 9% 1%
121 CHIRASHNYA Noya 3% 24% 42% 26% 5% -
122 LUO Ashley - 1% 8% 28% 38% 21% 4%
123 MAO Amy 8% 29% 38% 20% 4% - -
124 HU Yutong 51% 37% 11% 1% - - -
125 GREGORY Aleksandra 2% 19% 44% 27% 7% 1% -
126 PAN Iris 87% 13% 1% - - -
127 XU Jessica 40% 45% 13% 1% - - -
128 GLICK Nina 29% 42% 23% 6% 1% - -
129 GLASER Drew - 1% 7% 25% 38% 24% 5%
130 GUAN Dorothy 1% 10% 31% 37% 17% 2% -
131 LEE Yoonseo 1% 7% 27% 36% 22% 6% 1%
132 RUMMEL Katherine E. 6% 24% 36% 24% 8% 1% -
133 FRIEDLANDER Sarah 22% 41% 28% 9% 1% -
134 BLIN Margaux J. 9% 31% 35% 19% 5% 1% -
135 LEE Natasha 3% 21% 37% 28% 9% 1% -
136 ODOM Megan A. 40% 40% 16% 3% - - -
137 ZHANG Nicole 30% 50% 18% 2% - - -
138 DENG Annie 2% 17% 35% 31% 13% 2% -
139 NELSON Grace E. 11% 50% 32% 6% - - -
139 MA ELISE 15% 36% 32% 14% 3% - -
141 LIU Nicole 56% 36% 7% 1% - - -
142 LEE Rachel 13% 37% 34% 14% 3% -
143 SINGH Aayushi 67% 29% 4% - - - -
144 SATNIC Jenni 60% 33% 6% 1% - -
145 POPA Catherine 14% 46% 30% 8% 1% - -
146 FRYDRYK Sydney K. 8% 54% 31% 6% - - -
147 KNOEPFFLER ANDREA V. 5% 22% 34% 26% 10% 2% -
148 KAUSHISH Sara 7% 31% 39% 20% 4% -
149 KIM Jayna 24% 43% 26% 7% 1% - -
150 SWENSON Nikita G. 2% 20% 38% 28% 10% 1% -
150 MACEY Hadley 31% 43% 21% 4% - - -
152 BARRETT Elisabeth 2% 17% 37% 31% 12% 2% -
153 PRIHODKO Nina 31% 41% 22% 6% 1% - -
153 DREFKE Sigrid 43% 40% 14% 3% - - -
155 NGUYEN Tallulah 2% 18% 46% 27% 6% 1% -
156 LI Vivian 16% 42% 31% 9% 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.