USA Fencing National Championships & July Challenge

Div II Women's Saber

Friday, July 8, 2022 at 8:00 AM

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 SUBRAMANIAN Nitika - - 4% 19% 38% 31% 7%
2 DHAR Aamina - 3% 17% 35% 33% 11% 1%
3 KYNETT Kathryn G. - - - 2% 14% 45% 39%
3 SO Catelyn - - 5% 20% 36% 30% 9%
5 SPRINGER Ella - 1% 5% 21% 36% 29% 8%
6 FERREIRA Alejandra E. - - 3% 15% 33% 35% 14%
7 TSUI Natalie - 1% 7% 22% 35% 27% 7%
8 LUKER Sophia - 1% 8% 24% 35% 25% 7%
9 SADOVA Olga - 6% 25% 38% 24% 6% < 1%
9 TABANGAY Heartlyn - - 2% 10% 29% 40% 19%
11 JEAN Olympe G. - 2% 10% 26% 35% 22% 5%
12 ZIELINSKI Isabella G. - - 1% 9% 28% 41% 21%
13 FEIG Sela - 4% 17% 31% 30% 14% 3%
14 GRAJALES Hannah E. 2% 12% 28% 32% 19% 6% 1%
15 MANN Sophia J. 1% 15% 36% 33% 13% 2% -
16 ZOLLER Noelle 6% 25% 36% 24% 8% 1% -
17 CALVERT Sarah-Jane E. - 2% 11% 30% 38% 18%
18 LIGH Erenei J. - - 2% 11% 30% 39% 18%
19 JOHNSON Dagny L. - - 1% 9% 29% 41% 19%
20 CHRISTOTHOULOU Olympia C. - 1% 8% 25% 36% 24% 6%
20 WEI Vivian W. - 1% 5% 19% 35% 30% 9%
22 CHIANG Emily - - 2% 10% 29% 39% 20%
23 JOHNSTON Lily - 3% 16% 35% 32% 12% 2%
24 BILILIES Sophia - - 2% 10% 29% 39% 20%
25 KANTIPUDI Shrika 2% 10% 26% 33% 22% 7% 1%
25 HORAN Alexa 1% 11% 30% 34% 18% 5% -
27 XIONG Haojiao 1% 5% 20% 36% 30% 8%
28 KONDEV Elizabeth 4% 19% 34% 29% 12% 2%
29 DENG Brooke - 2% 12% 29% 34% 19% 4%
30 DAVIS Charlotte 13% 34% 34% 16% 3% -
31 CANSECO Carly - 9% 31% 36% 18% 4% -
32 HAMBAZAZA Liisa 1% 8% 24% 34% 24% 8% 1%
33 XIKES Katherine E. - - 2% 10% 28% 39% 22%
34 ENDO Miyuki N. - - 2% 9% 27% 39% 23%
35 SCOTT Eve 1% 13% 34% 36% 14% 2% < 1%
36 TIBURCIO Diana - - - 3% 14% 39% 44%
37 LIM Jovine - 2% 11% 28% 34% 20% 4%
38 MULAGARI Sadhika 1% 8% 23% 33% 25% 9% 1%
39 SCHMITT Alana P. - - 5% 20% 42% 33%
40 YEN Natalie 8% 27% 35% 22% 7% 1%
41 NGUYEN Ella - 4% 17% 33% 30% 13% 2%
42 RIZKALA Joanna - - - 4% 23% 48% 25%
43 SU Emma - 2% 9% 24% 34% 24% 7%
44 KNIGHT Skylar - 1% 10% 27% 36% 21% 5%
45 NOVICK Mia J. - 2% 10% 27% 35% 21% 5%
46 COLTER Aurora 2% 10% 26% 33% 22% 7% 1%
47 ADAMS Morrigan B. 1% 6% 20% 33% 28% 11% 1%
48 LIN Nicole 4% 18% 32% 29% 14% 3% -
49 NGUYEN Siena 1% 8% 24% 35% 25% 7%
50 CHEN Kevy - 4% 18% 34% 30% 12% 2%
51 LIAO Siwen - - 3% 15% 34% 35% 13%
52 CHIN Elise - 3% 17% 33% 31% 13% 2%
53 PANIGRAHI Emersen 6% 25% 35% 23% 8% 1% -
54 MUND Ruth - 3% 15% 32% 33% 15% 2%
55 TODD Peregrine 3% 17% 32% 30% 14% 3% -
56 MANSPERGER Leena - 1% 5% 20% 35% 29% 9%
57 BERNSTEIN Aiden S. 2% 14% 33% 32% 15% 3% -
58 YERRAMILLI Kavya 1% 7% 24% 36% 25% 6%
58 ZENG Megan 5% 23% 36% 26% 8% 1%
60 SCHICK Veronica 2% 17% 35% 31% 13% 3% -
61 ARNECKE Lauren A. - 5% 22% 37% 27% 8% 1%
62 NAYAK Esha 4% 18% 33% 29% 13% 3% -
63 FLATT Sophia - 11% 32% 35% 17% 4% -
64 CHANG Audrey 1% 6% 21% 35% 28% 9%
65 FESTA Carina - 1% 7% 22% 36% 27% 7%
66 GOMERMAN Sophia 1% 13% 34% 34% 15% 3% -
67 FANG Victoria W. - - 2% 13% 33% 39% 13%
68 EVANS Madelynn 1% 15% 35% 33% 14% 3% -
69 ULIBARRI Nevaeh L. - 1% 5% 19% 34% 31% 11%
70 GRULICH Rayaana 2% 15% 32% 31% 15% 4% -
71 BAWA Anahat 3% 15% 32% 32% 15% 3% -
72 ATTIA Jasmine 21% 39% 28% 10% 2% - -
73 SUN Alyssa - - 3% 14% 32% 35% 15%
74 CHOWDHURY Ranlyn - 3% 13% 28% 33% 19% 4%
75 KHAN Alissa - 2% 9% 24% 34% 25% 7%
76 HUANG Madeline - 3% 15% 33% 32% 14% 2%
77 NAYAK Anika 19% 39% 29% 10% 2% -
78 BUHAY Kirsten M. 10% 30% 36% 19% 5% -
79 ALFARACHE Gabriella C. - 4% 16% 32% 31% 14% 3%
79 MARYASH Samantha - 1% 8% 25% 36% 24% 6%
81 ROBINSON Stella 1% 9% 28% 37% 21% 5% -
82 YOUNG Audrey 2% 12% 28% 33% 19% 6% 1%
83 D'ORAZIO Sofia V. 1% 13% 33% 33% 16% 3% -
84 LIM Jaslene - 3% 15% 33% 32% 14% 2%
85 REN Xinling 1% 8% 23% 34% 25% 8% 1%
86 KALKINA Yelena - - - 1% 8% 36% 55%
86 XU Emily T. - 8% 27% 37% 22% 6% 1%
88 LISSO Ria A. - - - 3% 17% 43% 37%
89 FAN Grace 3% 16% 34% 32% 13% 2%
90 CARLUCCI Laura A. 2% 11% 27% 34% 21% 5%
91 FREEDMAN Amelia F. 11% 33% 35% 17% 4% -
92 SATHE Mehek S. - - 4% 15% 32% 34% 14%
93 GAJOWSKYJ Sophie K. 1% 7% 21% 33% 26% 10% 2%
94 DAI Olivia 4% 19% 33% 29% 13% 3% -
95 LIN Sarah 2% 15% 36% 33% 12% 1% -
96 CHARLES Caitlin 5% 28% 39% 22% 5% - -
97 TUNG Renee 8% 26% 35% 23% 8% 1% -
97 GOLOVITSER Maya 5% 36% 38% 17% 3% - -
99 HUA Catherine W. - 2% 12% 30% 35% 18% 3%
100 COLBY Mercer 8% 28% 36% 21% 6% 1% -
101 FANG sophie 7% 26% 35% 23% 8% 1% -
102 MORALES Victoria J. - 4% 19% 35% 30% 10% 1%
103 SCHOEW Margot 3% 22% 38% 26% 9% 1% -
104 MUELLER Amelia D. 13% 33% 33% 16% 4% 1% -
105 BRAMMER-GONZALES Xiomara 89% 11% 1% - - - -
106 DAVIS Jayna M. 1% 8% 25% 37% 24% 6%
107 CHO Michelle 9% 29% 35% 21% 6% 1%
108 LI Victoria 20% 38% 28% 11% 2% - -
109 MACE Eliza M. - 1% 7% 22% 34% 27% 9%
110 MACDONALD Kaylie S. 1% 6% 21% 33% 27% 10% 1%
111 SHEN Jamie 3% 21% 38% 27% 9% 1% -
112 REGANTI Sitara 12% 36% 34% 15% 3% - -
113 KEITH Margaret 6% 23% 35% 25% 9% 2% -
114 TESTROET Aubrey 28% 41% 23% 7% 1% - -
115 PANIGRAHI Kingsley 9% 28% 35% 21% 6% 1% -
116 FREY Sarah E. 21% 41% 27% 9% 2% - -
117 BIRNSTILL Reese 36% 43% 18% 3% - - -
118 BROWNER June 12% 33% 34% 16% 4% - -
119 ZHANG Sophie 1% 8% 23% 34% 25% 9% 1%
120 ISBERG Natalie 4% 19% 35% 30% 11% 1%
121 FAYETTE Mathilde 73% 24% 3% - - - -
122 BARRIE Sadie Q. 25% 40% 25% 8% 1% - -
123 CHANCO-EVERETT Aileen 1% 16% 36% 32% 13% 2% -
123 MILLER Sophia 47% 39% 12% 2% - - -
125 RODGERS Rachel 59% 33% 7% 1% - - -
126 WOODY Sophia 19% 41% 29% 9% 2% - -
126 PREIMESBERGER Elaine 28% 43% 22% 5% 1% - -
128 WODISKA Ava 63% 31% 5% - - - -
129 CLEARY Mel 20% 41% 29% 9% 1% - -
129 CHOW Caitlyn 78% 20% 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.