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(1) Maria Panyi, (2) Andrey Geva, (3) Igor Chirashnya, and (4) Sue Moheb.

November NAC

Y-14 Women's Épée

Saturday, November 10, 2018 at 11:00 AM

Kansas City, MO - Kansas City, MO, 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. - - - 4% 19% 43% 34%
2 WANG Karen - - - 4% 20% 43% 33%
3 KHROL Caralina - - - 3% 16% 42% 38%
3 JOYCE Michaela - - - - 4% 27% 69%
5 DING Jiahe (Heidi) - - 3% 17% 36% 34% 11%
6 KETKAR Ketki - - - 3% 16% 40% 40%
7 WANG Elizabeth - - 4% 18% 36% 32% 9%
8 ROBLES Elena 1% 11% 30% 35% 19% 4% -
9 MALDONADO Pilar I. - 1% 6% 24% 39% 24% 5%
10 PATURU Meghana - 1% 5% 20% 37% 29% 8%
11 O'DONNELL Amanda A. - - - 3% 18% 46% 33%
12 WADE-CURRIE Ava S. - 1% 5% 17% 34% 32% 11%
13 CHAN Elizabeth 1% 11% 28% 33% 20% 6% 1%
14 ZHU Heidi - 4% 16% 32% 31% 14% 2%
15 GANDHI Sedna S. - - 2% 11% 32% 41% 15%
16 MILEWSKI Nicole 5% 23% 37% 26% 8% 1%
17 WATRALL Christina - - 2% 11% 30% 39% 18%
18 MACHULSKY Leehi - - - 1% 12% 44% 43%
19 DANIEL Olivia - 4% 21% 37% 29% 9% 1%
20 ZAFFT Tatiana M. - 1% 6% 22% 38% 28% 6%
21 TYLER Syd - 3% 14% 30% 33% 17% 3%
22 GABERKORN Nadia - 3% 13% 28% 33% 19% 4%
23 WU Amelia - - 1% 9% 27% 40% 23%
24 KUZNETSOV Victoria - - 2% 10% 29% 40% 20%
25 ZHENG Ava - 4% 19% 37% 30% 9%
26 KETKAR Mallika - 3% 15% 31% 32% 16% 3%
27 CHEN Zhengnan(Janet) - 5% 20% 36% 28% 9% 1%
28 LEANG Priscilla Y. 1% 6% 20% 33% 28% 11% 2%
29 GU Sarah 6% 24% 36% 25% 8% 1% -
30 GEBALA Natalie Brooke A. - 5% 20% 35% 28% 10% 1%
31 MCLANE Lauren - 1% 6% 20% 34% 29% 10%
32 CHEUNG Ho Huen 7% 37% 37% 16% 3% - -
33 NGUYEN Kaylin A. - 2% 11% 26% 34% 22% 5%
34 LU Shiqi 9% 29% 36% 20% 5% 1%
35 KHAMIS Yasmine A. - - - 3% 16% 41% 39%
36 CAPELLUA Mariasole 6% 25% 36% 24% 8% 1% -
37 OGAWA Kaylin - 1% 6% 23% 39% 27% 5%
38 LEUNG Natalie 1% 12% 36% 35% 14% 2%
39 ZUHARS Renee A. - - 1% 8% 29% 42% 20%
40 MILLETTE Marie Frederique - 4% 18% 34% 30% 12% 1%
41 AHUJA Arianna 1% 18% 38% 30% 11% 2% -
42 XU Grace (XinYi) - 2% 10% 28% 36% 20% 4%
43 YANG Miranda (Yinuo) 1% 9% 26% 35% 23% 7% 1%
44 BALAKRISHNAN Monica S. 1% 6% 21% 36% 28% 8% 1%
45 REID Sobia - 6% 25% 37% 24% 7% 1%
46 LEE Sumin - 1% 7% 26% 40% 24% 3%
47 WANG Nora 1% 8% 25% 34% 24% 7% 1%
48 BURN Lauren M. 4% 19% 34% 28% 13% 3% -
49 DROVETSKY Alexandra M. - - 6% 24% 43% 27%
50 KIM Diane E. - 5% 19% 35% 31% 10%
51 LIU Christina A. - 2% 10% 26% 35% 22% 5%
52 SUN Angelica - 3% 15% 33% 33% 15% 2%
53 LIN Katie Y. - 1% 6% 21% 37% 28% 7%
54 WANG anne 2% 17% 40% 31% 9% 1% -
55 CHAN Cheri K. 2% 16% 33% 31% 15% 3% -
56 REID Anousheh - 5% 25% 39% 24% 6% -
57 DOUGLAS Julia F. - 5% 22% 40% 26% 6% -
58 LAVERY Chloe K. 1% 12% 35% 35% 14% 2% -
59 XING Carol - 5% 24% 39% 26% 6% -
60 SMITH Grace L. 1% 5% 19% 32% 29% 13% 2%
61 CHIN Isabella - - 3% 14% 32% 35% 15%
62 BARRETT Elisabeth 1% 13% 33% 34% 16% 3% -
63 SMUK Daria A. - 3% 15% 33% 35% 14%
64 GALLON Maya S. 10% 32% 36% 18% 4% - -
65 KIM Erika S. 45% 44% 10% 1% < 1% -
66 MCCUTCHEN Lauren (Lulu) - 1% 6% 20% 34% 29% 10%
67 LOWENSTEIN Penelope J. - 1% 6% 21% 35% 28% 9%
68 LIN Waiyuk 1% 11% 32% 35% 17% 4% -
69 MUCSI Angela Lilla - 3% 17% 38% 33% 9%
70 NING Emma - 3% 14% 30% 32% 17% 4%
71 HU Grace - 1% 9% 28% 37% 21% 4%
72 LUO Ashley 1% 8% 26% 36% 22% 6% 1%
73 MEHROTRA Anya - - 1% 9% 29% 42% 19%
74 SEMIKIN Julia - 1% 6% 24% 42% 25% 3%
75 MOSKOFF Tessa 1% 9% 29% 36% 20% 5% -
76 OPERARIO Abigail Z. 11% 36% 36% 15% 3% - -
76 SHEN Stephanie 5% 21% 33% 27% 12% 3% -
78 BUCUR Naomi - 4% 19% 35% 29% 11% 2%
79 SHUM Jessica 23% 44% 26% 7% 1% - -
80 ELLENT Isabella S. 6% 23% 35% 25% 9% 2% -
81 FALLON Kyle R. - - 5% 23% 38% 26% 6%
82 JIN Jasmine 2% 14% 35% 33% 14% 2% -
83 KIM Elizabeth Y. 3% 16% 33% 32% 14% 3% -
84 TAYLOR Kiera S. - 4% 21% 38% 28% 8% 1%
85 WU Fan 9% 29% 36% 20% 6% 1% -
86 ZHANG Tina - 3% 13% 30% 34% 17% 3%
87 SON Katherine (Injee) 1% 8% 23% 33% 25% 9% 1%
88 GUMAGAY Erika L. 3% 20% 37% 28% 10% 2% -
89 ANDERSON Nora E. 7% 32% 39% 18% 4% - -
90 LI Bingqi - 5% 20% 35% 28% 11% 1%
91 DESAI Meera P. - 1% 8% 24% 36% 25% 5%
92 RUMMEL Katherine E. 8% 30% 37% 20% 4% - -
93 PARTE Isabella B. 19% 44% 29% 7% 1% -
94 SAAL Anna 9% 30% 35% 19% 5% 1% -
95 MALLAVARPU Aarthi C. 12% 36% 36% 14% 2% - -
96 DUAN Jenny S. 27% 45% 22% 5% 1% - -
97 GORNOVSKY Abigail 18% 39% 30% 11% 2% - -
97 KIM Annabelle 51% 38% 10% 1% - - -
99 GLICK Nina 9% 42% 35% 12% 2% - -
100 PADHYE Tanishka - 1% 10% 29% 36% 20% 4%
101 SHERTZ Kira E. 6% 40% 38% 13% 2% - -
102 YU Nicole J. 18% 40% 30% 10% 2% - -
103 SINHA Zara 23% 39% 27% 9% 2% - -
104 SU Vera 10% 29% 34% 20% 6% 1% -
105 QURESHI Nisa 2% 15% 33% 32% 15% 3% -
106 RUNIONS Emersyn < 1% 2% 16% 38% 34% 10%
107 PALMER Amelia C. 2% 12% 29% 34% 19% 4% -
108 HAMILTON Nina M. 28% 41% 23% 6% 1% - -
109 DARANOUVONG Logan 24% 42% 26% 7% 1% -
110 YU Bailey 33% 41% 21% 5% 1% - -
111 TERRELL Gabriella 87% 13% 1% - - - -
112 MACEDON Gianna 74% 24% 2% - - - -
112 JOYAL Anne-Sophie 37% 46% 14% 2% - - -
114 ZHENG Linden 62% 32% 6% - - - -
116 DILLE Carolina G. 39% 41% 16% 3% - - -
117 LEWIS Frances Morgan 19% 40% 30% 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.