May NAC

Junior Women's Saber

Sunday, May 9, 2021 at 1:30 PM

Richmond, VA - Richmond, VA, 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 WILLIAMS Jadeyn E. - - 1% 6% 25% 43% 25%
2 GREENBAUM Atara R. - - - 4% 21% 43% 32%
3 AVAKIAN Mikaela - - - 1% 9% 39% 51%
3 KIM Zoe - - 1% 5% 23% 43% 28%
5 LU Vivian Y. - - 1% 13% 42% 43%
6 FOUR-GARCIA Madison - 1% 6% 24% 43% 26%
7 JOHNSON Honor B. - - - - 1% 17% 81%
8 TZOU Alexandra - - 2% 15% 38% 36% 8%
9 PAK Kaitlyn - - 1% 10% 30% 40% 18%
10 POSSICK Lola P. - - 1% 8% 27% 42% 23%
11 SHOMAN Jenna - - 1% 9% 32% 44% 14%
12 WILLIAMS Chloe C. - - 1% 6% 25% 43% 25%
13 GOUHIN Chloe - - 1% 7% 25% 43% 25%
14 HARRISON Imogen N. - - 2% 10% 30% 40% 18%
15 YUN Joy - - 2% 13% 32% 37% 16%
16 VADASZ Ibla P. 2% 26% 39% 24% 7% 1% -
17 SULLIVAN Siobhan R. - - 1% 7% 26% 43% 23%
18 CHIN Erika J. - 1% 7% 25% 42% 25%
19 ZEGERS Anneke E. - - 1% 9% 31% 41% 17%
19 SKARBONKIEWICZ Magda - - - 1% 11% 39% 49%
21 MILLER Sky - - - 1% 9% 36% 53%
22 KONG Vera - - - 1% 12% 41% 46%
23 CHIOLDI Mina - 2% 14% 36% 35% 12% -
24 DELSOIN Chelsea C. 1% 10% 28% 36% 21% 4%
25 NAZLYMOV Tatiana F. - 2% 13% 33% 37% 14%
26 LEE Alexandra B. - 1% 8% 27% 41% 23%
27 SATHYANATH Kailing - 1% 9% 35% 42% 13%
28 FREEDMAN Janna N. - 3% 16% 35% 34% 11%
29 LI Amanda C. - 2% 12% 31% 36% 17% 3%
30 MARSEE Samantha - 1% 12% 35% 37% 13% 1%
31 JOHNSON Lauren - 3% 17% 39% 32% 8% 1%
32 BLUM Leah I. - 1% 9% 26% 36% 23% 5%
33 OISHI Megumi - - 1% 10% 30% 41% 18%
34 CODY Alexandra C. - 3% 19% 37% 30% 10% 1%
35 JULIEN Michelle - 2% 15% 36% 34% 12% 1%
36 HILD Nisha 4% 21% 37% 28% 9% 1%
37 SZETO Chloe 2% 14% 32% 33% 16% 3%
37 ENDO Miyuki N. 8% 29% 37% 21% 5% -
39 CHANG Josephine S. - 1% 6% 24% 39% 26% 4%
40 TONG Kunling - - 1% 9% 31% 43% 15%
41 KALRA Himani V. - 2% 14% 35% 34% 14% 2%
42 GREENBAUM Ella K. - 1% 6% 25% 40% 24% 4%
43 BUHAY Rachel T. 1% 11% 32% 36% 16% 3% -
43 TIMOFEYEV Nicole - 2% 11% 28% 35% 20% 4%
45 OLSEN Natalie J. - 4% 20% 37% 29% 9% 1%
46 NI Sharon 3% 19% 40% 29% 8% 1% -
47 FEARNS Zara A. 9% 30% 36% 19% 5% -
48 LIANG Megan - - 3% 17% 42% 37%
49 SHEALY Maggie - 2% 11% 32% 40% 16%
50 MOZHAEVA MARIA 1% 7% 25% 39% 24% 5%
51 BALAKUMARAN Maya 8% 29% 38% 20% 5% -
52 ANDRES Katherine A. 1% 6% 22% 36% 26% 8% 1%
53 ANDRES Charmaine G. - 7% 29% 37% 21% 5% -
54 CARVALHO Isabela A. - 2% 12% 30% 34% 19% 4%
55 XI Shining - 4% 17% 36% 32% 10% 1%
56 BOIS Adele - 1% 8% 26% 38% 23% 4%
57 MIKA Veronica 1% 6% 22% 36% 27% 8% 1%
58 TAO Hannah J. - 1% 7% 28% 41% 22% 1%
59 LUKASHENKO Angelina 1% 10% 32% 37% 17% 3% -
60 YONG Erika E. - 3% 14% 34% 37% 12%
61 DARINGA Arianna 18% 40% 30% 10% 2% -
62 KATZ Anat - 3% 18% 36% 31% 11% 1%
63 ZIELINSKI Isabella G. 17% 38% 31% 11% 2% -
64 LEVITIS Danielle 22% 40% 28% 9% 1% -
65 MATAIEV Natalie S. 1% 11% 31% 36% 18% 3% -
66 GORMLEY Arwen E. - 1% 7% 25% 38% 25% 5%
67 TODD Phoebe 4% 28% 41% 22% 5% 1% -
68 STONE Hava S. - 2% 14% 42% 34% 8%
69 NEIBART Fiona 20% 40% 29% 9% 1% -
70 NEWELL Alexia C. - 3% 19% 36% 30% 10% 1%
71 HULSEBURG Kaitlyn - 1% 9% 30% 40% 19% 1%
72 GHAYALOD reya 1% 12% 34% 35% 15% 3% -
73 SHOMAN Miriam - 2% 14% 34% 34% 14% 2%
74 KOBOZEVA Tamara V. - 4% 20% 37% 29% 9% 1%
75 BARTON Mele 45% 41% 12% 1% - - -
76 CALLAHAN Chase J. - 9% 29% 37% 20% 5% -
77 DANK Dina 3% 25% 41% 24% 6% 1% -
78 CAO Stephanie X. 1% 7% 24% 36% 25% 6%
79 GORMAN Victoria M. 2% 12% 32% 35% 17% 3%
80 ULIBARRI Nevaeh L. 5% 34% 43% 15% 2% -
81 PAUL Lila 3% 17% 34% 32% 13% 2%
82 WU Erica L. 4% 20% 36% 29% 10% 1%
83 LACSON Sarah - - 5% 21% 38% 28% 7%
84 PRIEUR Lauren - 7% 31% 38% 19% 4% -
85 FANG Victoria W. 1% 14% 35% 33% 14% 3% -
86 SCALAMONI-GOLDSTEIN Charlotte S. - 9% 28% 35% 21% 6% 1%
87 BHATTACHARJEE Rhea 1% 18% 38% 30% 11% 2% -
88 HUANG MADELINE 80% 19% 2% - - - -
89 LIGH Erenei J. 15% 36% 33% 13% 3% - -
90 HOLMES Emma 13% 38% 34% 13% 2% - -
91 JAVERI Amaya 33% 43% 20% 4% - - -
92 BEVACQUA Aria F. 6% 25% 38% 24% 6% 1%
93 ERIKSON Kira R. 22% 42% 28% 8% 1% -
94 BAKER Audrey C. 13% 35% 34% 15% 3% -
95 GUTHIKONDA Nithya - 2% 11% 30% 38% 19%
96 DEPEW Charlotte R. 18% 39% 31% 11% 2% -
97 NOVICK Mia J. 6% 37% 42% 14% 2% -
98 SHIN Andrea Y. 1% 10% 33% 37% 16% 3% -
98 LIAO Siwen 1% 31% 42% 21% 5% - -
100 GRAFF Sophie 1% 12% 32% 35% 16% 3% -
101 TONG Jessie 58% 35% 7% 1% - - -
102 CHIN Sophia J. 7% 27% 37% 22% 6% 1% -
103 CHIANG Emily 12% 33% 35% 17% 4% - -
104 CALVERT Sarah-Jane E. 2% 19% 42% 29% 8% 1% -
105 DILLE Carolina G. 18% 51% 25% 5% - - -
106 EVANS Madelynn 60% 33% 7% 1% - - -
107 ALFARACHE Gabriella C. 18% 45% 29% 7% 1% - -
108 CHANG Audrey 13% 46% 31% 9% 1% - -
109 WANG Jianning 9% 42% 36% 11% 1% - -
110 ELNATAN Mica A. 66% 30% 4% - - - -
111 WIGGERS Susan Q. 2% 13% 32% 35% 16% 3%
112 JEAN Olympe G. 5% 31% 39% 20% 4% - -
113 KOLL-BRAVMANN Ryder S. 67% 28% 4% - - - -
114 LU Amy 14% 38% 34% 13% 2% -
115 SCHIKORE Anna M. 41% 43% 14% 2% - - -
116 LIGH Karis 81% 18% 1% - - - -
117 D'ORAZIO Sofia V. 57% 37% 6% - - - -
118 MEYTIN Sophia E. 64% 31% 5% - - -
119 NATH Trisha 15% 44% 31% 9% 1% - -
120 RODGERS Rachel 97% 3% - - - - -

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.