January NAC

Junior Women's Épée

Monday, January 10, 2022 at 8:00 AM

San Jose, CA, 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 KETKAR Ketki - - - 2% 12% 40% 47%
2 DING Jiahe (Heidi) - - - 5% 22% 43% 31%
3 HUSISIAN Hadley N. - - - 1% 7% 33% 59%
3 TYLER Syd - - 2% 11% 32% 39% 16%
5 LIN Jessica Y. - - - - 7% 35% 58%
6 KHAMIS Yasmine A. - - 1% 10% 38% 51%
7 PIRKOWSKI Amanda L. - - - 5% 22% 42% 31%
8 PARK Faith K. - - - 1% 9% 37% 53%
9 MEHROTRA Anya - - 4% 16% 36% 35% 9%
10 FALLON Kyle R. - - 2% 12% 32% 38% 16%
11 WANG Karen - - - 1% 9% 36% 55%
12 MACHULSKY Leehi - - - 2% 14% 40% 43%
13 LEUNG Natalie - 2% 13% 32% 35% 16% 2%
14 GAJJALA Sharika R. - - 5% 22% 38% 27% 7%
15 CHU Audrey - 1% 10% 29% 37% 20% 3%
16 CHIN Isabella - - 2% 13% 42% 44%
17 LEE Michelle J. - - 4% 20% 38% 30% 8%
18 PATURU Meghana - - - 4% 19% 43% 34%
19 GU Sarah - - 2% 10% 29% 39% 20%
20 WANG Nora - 1% 7% 26% 40% 22% 4%
21 DROVETSKY Alexandra M. - - - 5% 24% 44% 26%
22 WADE-CURRIE Ava S. - - 1% 8% 26% 41% 24%
23 O'DONNELL Amanda A. - - 1% 8% 28% 43% 20%
24 LUO Ashley - 1% 15% 36% 33% 13% 2%
25 LAVERY Chloe K. - 2% 13% 31% 35% 17% 2%
26 WATRALL Christina - 1% 7% 28% 43% 22%
27 SEBASTIAN Felicity A. - 2% 14% 34% 37% 13%
28 KUZNETSOV Victoria - - 4% 21% 44% 31%
29 XIAO Ruien - 1% 11% 32% 37% 17% 2%
30 HU Grace - - 1% 11% 35% 44% 9%
31 ZHANG Victoria R. - 2% 14% 32% 33% 16% 3%
32 LIU Christina A. - - 4% 24% 44% 25% 3%
33 OXENREIDER Tierna A. - - - 1% 11% 37% 51%
34 GEBALA Natalie Brooke A. - 1% 8% 30% 43% 18%
35 WANG Elizabeth - 1% 9% 30% 44% 16%
36 LIN Katie Y. - - 1% 7% 27% 42% 23%
37 JOYCE Michaela - - - - 4% 30% 65%
38 XUAN Nicole J. - 1% 8% 24% 36% 25% 6%
39 CHEN Zhengnan(Janet) - - 4% 18% 38% 33% 8%
40 MILLETTE Marie Frederique - - 1% 12% 38% 40% 9%
41 REID Anousheh 2% 12% 32% 35% 16% 3%
42 ZUHARS Renee A. - 3% 25% 43% 25% 4%
43 MCLANE Lauren - - 1% 10% 31% 39% 18%
44 DOROSHKEVICH Victoriia - 1% 8% 28% 38% 21% 4%
45 ALEXANDROV Katherine S. - 2% 14% 35% 33% 13% 2%
46 DAMRATOSKI Anna Z. 1% 9% 27% 35% 21% 6% 1%
47 TEMIRYAEV Anna M. - 1% 15% 43% 32% 8% -
48 DONDISCH Sophia - 5% 22% 36% 27% 9% 1%
49 YU Nicole J. - 5% 20% 35% 29% 10% 1%
50 PANT Anisha 16% 41% 31% 10% 1% -
51 CHEN Lefu - 1% 7% 25% 39% 24% 4%
52 NI Emma - 1% 10% 31% 37% 19% 3%
53 LEANG Priscilla Y. - 2% 15% 36% 32% 12% 2%
54 WEISS Talia L. - 1% 6% 24% 39% 25% 5%
55 SEMIKIN Julia - 4% 18% 35% 31% 11% 1%
56 CHIRASHNYA Noya 2% 20% 42% 27% 7% 1% -
57 RUNIONS Emersyn 1% 8% 29% 37% 20% 5% -
58 PEHLIVANI Zara - 4% 18% 38% 30% 9% 1%
59 WONG Alexandra R. 2% 13% 32% 34% 16% 3% -
60 KIM Elizabeth Y. - 3% 16% 33% 32% 14% 2%
61 ZHANG Tina Tianyi - 5% 22% 40% 27% 6%
62 HABERMAN Hailey 13% 59% 25% 4% - -
63 MCCUTCHEN Lauren (Lulu) - 3% 14% 32% 34% 15% 2%
64 GORNOVSKY Abigail 3% 23% 38% 27% 8% 1% -
65 WU Amelia - - 1% 11% 32% 39% 16%
66 FELAND Alexandra - 7% 31% 38% 19% 4% -
67 RAUSCH Ariana (Ari) M. - 1% 9% 30% 41% 19%
68 BEZUGLAYA Varvara 4% 22% 39% 27% 7% 1%
69 BEI Karen - - 2% 11% 30% 38% 18%
70 SMOTRITSKY Mia - 3% 19% 39% 31% 8% -
71 ZIGALO Elizabeth - 1% 9% 30% 38% 19% 3%
72 KIM Zoe L. - 1% 10% 28% 37% 21% 3%
73 LIN Waiyuk - 4% 19% 34% 30% 11% 2%
74 DARANOUVONG Logan - 6% 29% 40% 21% 4% -
75 MING Cynthia 2% 14% 32% 33% 16% 3% -
76 KETKAR Mallika - - 3% 15% 35% 36% 11%
77 MUN Brianna K. 1% 13% 33% 34% 16% 3% -
78 DOUGLAS Julia F. - 4% 26% 43% 24% 4%
79 NGUYEN Tallulah - - 5% 18% 36% 31% 10%
80 GUMAGAY Erika L. - 5% 21% 37% 28% 9% 1%
81 MILLER Veronica - 8% 29% 37% 20% 5% -
82 REID Sobia - 2% 11% 29% 36% 19% 3%
83 HUANG Lanlan 19% 40% 29% 10% 2% - -
84 WEBER Nora - 2% 13% 31% 34% 17% 3%
85 LI Alisha 2% 18% 36% 30% 12% 2% -
86 PARKER Allegra H. - - 9% 29% 37% 20% 4%
86 NEISINGH Isabelle 2% 17% 35% 30% 12% 2% -
88 PAN Michelle - 10% 48% 33% 8% 1% -
89 LU Junyao - 2% 13% 33% 35% 15% 2%
90 MYERS Jeanelle Christina A. 2% 16% 39% 32% 10% 1%
91 LEE Sumin - 1% 6% 24% 43% 27%
92 SHEN Stephanie 3% 17% 37% 32% 10% 1%
93 DESAI Meera P. 2% 17% 38% 31% 10% 1%
94 KELLY Jenna 21% 45% 27% 7% 1% -
95 MALLAVARPU Aarthi C. - 6% 27% 41% 22% 4%
96 LEE Kaitlyn M. 30% 45% 21% 4% - -
97 NING Emma - 1% 9% 30% 37% 20% 3%
98 YIN Julia - 3% 17% 35% 31% 12% 1%
99 BARNOW Sasha 5% 23% 36% 25% 8% 1% -
100 CAPELLUA Mariasole - 3% 17% 34% 31% 13% 2%
101 LONADIER Keira - 7% 33% 38% 18% 4% -
102 TAN Jocelyn 23% 46% 24% 5% 1% - -
103 KIM Jayna 3% 29% 42% 21% 5% - -
104 LEE Natasha 1% 7% 23% 36% 25% 8% 1%
105 SIVAGAR Fiona 8% 32% 39% 18% 3% - -
106 KALE Anika A. 2% 20% 38% 29% 10% 1% -
107 HAU Olivia 20% 46% 27% 7% 1% - -
108 MALLAVARPU Saanvi 4% 32% 39% 19% 4% - -
109 LEE Olive - 4% 23% 41% 27% 6% -
110 MYERS Helen Sophia A. - 6% 22% 35% 27% 9% 1%
111 KIZILBASH Zara 2% 24% 42% 25% 6% 1% -
112 CHANG Ella 20% 50% 24% 5% - - -
113 YAO KATHARINE 5% 28% 38% 22% 6% 1% -
114 LIN Ashley 10% 49% 32% 8% 1% - -
115 MAO Amy - 2% 21% 43% 29% 5%
116 ANDERSON Claire 30% 43% 22% 5% - -
116 SHARMA Sanvi 12% 37% 35% 14% 2% -
116 LAN Alice S. 1% 11% 32% 36% 17% 3%
119 PRIHODKO Nina 23% 45% 26% 6% 1% -
120 POPOVICI Alina B. 5% 27% 38% 23% 6% 1% -
121 POON Desiree 57% 35% 8% 1% - - -
122 UYANIK Nerine - 5% 23% 38% 26% 7% 1%
123 DALEY Keira 12% 64% 22% 2% - - -
124 SLACKMAN Valerie 1% 9% 27% 35% 21% 5% -
125 HSIU Elizabeth 37% 41% 17% 3% - - -
126 MARTYNOVA Diana 34% 45% 18% 3% - - -
127 GAO Judy - 6% 22% 36% 27% 8% 1%
128 DUONG Zoey 52% 40% 8% 1% - - -
129 XU Katelyn 15% 68% 16% 1% - - -
130 GILKES Sanojah Ruby 14% 43% 33% 9% 1% - -
131 LOUIE Sarah 72% 25% 3% - - - -
132 XU Celina 78% 21% 1% - - - -
133 RAUSCH Juliana 19% 42% 30% 8% 1% - -
134 CHA Eugenie 35% 51% 12% 1% - - -
135 CHANG Celine A. 28% 43% 24% 5% - -
136 YIN Grace 21% 41% 28% 9% 1% - -
136 WAGLE Vaishali 43% 47% 9% 1% - - -
138 LI Charlotte 24% 44% 26% 6% 1% - -
139 WHITTEMORE Lucy K. < 1% 1% 13% 35% 35% 14% 1%
140 LIANG Jingjing 69% 27% 3% - - - -
141 ENRILE Erica 37% 45% 16% 2% - -
142 SIMHADRI Meghana 40% 43% 14% 2% - - -
143 LEE Samantha X. 51% 40% 9% 1% - - -
144 DAYAL Saahira 62% 31% 6% 1% - - -
145 ESTRADA Ariana 75% 23% 1% - - -
146 DERAKSHANDEH Donya 60% 33% 7% 1% - - -
146 SRIVASTAVA Arya 76% 22% 2% - - - -
148 YIN Gabriela 52% 37% 10% 1% - - -
149 BHATT Anisha 80% 20% 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.