December NAC

Div I Women's Foil

Saturday, December 7, 2019 at 8:00 AM

Salt Lake City, UT - Salt Lake City, UT, 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 KIEFER Lee O. - - - 2% 14% 46% 38%
2 DUBROVICH Jacqueline - - - - 5% 29% 66%
3 BLOW Iman (Mani) A. - - - 1% 16% 83%
3 RHODES Zander - - 1% 9% 27% 40% 23%
5 PUSTILNIK Nicole - - - 4% 20% 44% 31%
6 TIEU May L. - - - 4% 19% 41% 35%
7 WEINTRAUB Maia M. - - - 2% 12% 38% 48%
8 BINDER Sylvie A. - - - 1% 12% 41% 45%
9 MASSIALAS Sabrina C. - - - 1% 9% 35% 55%
10 DEVORE Delphine P. - - - 2% 16% 43% 39%
11 ZEISS Madison E. - - 1% 7% 26% 41% 25%
12 LAM Justina - - 2% 11% 30% 38% 18%
13 FERRARI Christina M. - 1% 10% 30% 39% 18% 2%
14 NOTT Adrienne (Adi) M. - 1% 6% 24% 43% 26%
15 CHO Sabrina N. - 2% 13% 36% 37% 12%
16 LAFFEY Jessie S. - - 2% 12% 34% 39% 12%
17 ROSS Nicole - - - 1% 7% 33% 59%
18 STAMOS Maria - - 3% 15% 35% 35% 12%
19 PRESCOD Nzingha E. - - - 1% 7% 34% 58%
20 KOO Haley B. - - 2% 14% 36% 36% 12%
21 TAFFEL sara 1% 9% 28% 36% 21% 5% -
22 CHOI Lenna K. - 3% 14% 31% 34% 16% 3%
23 MARINELLI Ever - - - 3% 18% 43% 35%
24 CHENG Evelyn - 3% 15% 37% 35% 11%
25 SCRUGGS Lauren S. - - - 1% 10% 39% 49%
26 PROESTAKIS Katina A. - 1% 7% 24% 37% 25% 6%
27 SEAL Grace (Gracie) C. 23% 40% 27% 9% 2% - -
28 HOSONO Rei W. 1% 10% 29% 36% 20% 4% -
29 AHN Gabriella - 3% 13% 30% 34% 17% 2%
30 VIQUEIRA Samantha M. 1% 7% 26% 39% 23% 5% -
31 FLANAGAN Catherine H. 2% 12% 33% 37% 16% 1%
32 MAK Tinney - 2% 10% 29% 36% 20% 3%
33 PARTRIDGE Morgan K. - - 1% 8% 29% 43% 18%
34 ELIZONDO Isabelle M. - - 1% 7% 33% 59%
35 DESCHNER Stefani K. - - 1% 4% 18% 40% 36%
36 ABAYEVA Sasha - 5% 23% 38% 26% 7% -
37 NISHIMURA Madeleine A. 1% 10% 28% 35% 20% 5% -
38 TAN Helen - - 1% 8% 29% 41% 20%
39 CAO Arianna L. - 3% 15% 34% 34% 12% 1%
40 CONWAY Josephina (JoJo) J. 1% 12% 33% 36% 15% 2% -
41 HORSLEY Asherah - 2% 9% 26% 37% 23% 3%
42 LEE Brianna J. - 3% 16% 33% 32% 14% 2%
43 HE Elizabeth W. - - 4% 16% 34% 34% 12%
43 JACOB Lena 2% 11% 27% 32% 20% 7% 1%
45 QIAN Crystal 2% 11% 29% 34% 19% 5% -
46 ADLER Polly Z. - 3% 21% 39% 27% 8% 1%
47 KNIGHT Skylar 1% 8% 24% 33% 24% 8% 1%
48 TANG Louise - 4% 18% 35% 30% 11% 1%
49 LIAO Madeline M. - 5% 19% 35% 29% 10% 1%
50 JO Mia C. 6% 26% 38% 24% 7% 1% -
51 ZHENG Ivy - 3% 14% 33% 34% 14% 2%
52 MARTOS Sara A. - - 1% 7% 26% 44% 22%
53 CHUSID Renata M. 1% 7% 24% 39% 25% 4%
54 KONG Chin-Yi - 6% 24% 38% 25% 6% -
55 TSAI Xiao-Qing E. - - 2% 12% 31% 39% 16%
56 JING Alexandra 2% 12% 30% 34% 19% 4% -
57 HE Fenghuan 1% 9% 25% 33% 23% 8% 1%
58 YAROSHENKO Karina - - 3% 17% 37% 33% 10%
59 SERBAN Samantha M. - 2% 14% 32% 33% 16% 3%
60 LUKINS Tianji 2% 17% 38% 31% 10% 1% -
61 KIM Rachael 1% 9% 29% 37% 20% 4% -
62 KLEINER Elyssa R. - 8% 26% 36% 22% 6% 1%
63 LEE Alina 1% 7% 23% 35% 26% 8% 1%
64 GONG Christina S. 4% 19% 35% 29% 12% 2% -
65 KOO Rachel A. 1% 6% 20% 32% 28% 11% 2%
66 LEE Allison (Allie) - 1% 9% 26% 37% 23% 5%
67 LEE Annora Y. - 1% 6% 22% 36% 28% 7%
68 ANDREYENKA Yana 1% 7% 24% 35% 24% 8% 1%
69 LIAO Lu Jia (Lucy) 9% 32% 37% 18% 3% -
70 LI Grace Q. 1% 8% 28% 40% 22% 1%
71 WANG Ellen 6% 26% 37% 23% 7% 1% -
72 NOVOSELTSEVA Anna V. - - 2% 15% 36% 35% 12%
72 YAMAGUCHI Kate M. 2% 14% 31% 32% 16% 4% -
74 HAO Alicia - - 3% 15% 39% 37% 6%
75 KIM Elisabeth (Gracie) 10% 31% 35% 19% 5% 1% -
76 SHEN Sophia H. 2% 15% 34% 32% 14% 3% -
77 PARK Rowan M. - 4% 20% 37% 29% 9% 1%
78 SOOD Ishani S. 15% 39% 33% 12% 2% - -
79 LAMPSON-STIXRUD Dolly C. 3% 14% 30% 31% 17% 4% -
79 ANDREYENKA Hanna - 1% 5% 22% 40% 28% 4%
81 LUONG Paige K. - 3% 14% 32% 33% 15% 2%
82 GRIFFIN Emma G. 1% 8% 25% 37% 23% 5% -
83 YANKOVSKIY Anastasia - 4% 17% 33% 32% 13% 1%
84 HUNG Juliana K. - 2% 10% 27% 36% 21% 4%
85 SEAL Julie T. 3% 18% 34% 30% 12% 2% -
86 ZHENG Vivian 4% 21% 37% 29% 9% 1%
87 HOOSHI Erica S. 3% 18% 37% 31% 10% 1%
88 GAYDOS Sofia C. 8% 29% 38% 21% 5% -
89 GALAVOTTI Claire Teresa 15% 40% 33% 10% 1% -
90 TRAN Ava D. 23% 41% 27% 8% 1% -
91 GOMES Rafaella T. 3% 18% 37% 31% 10% 1% -
92 APELIAN Katherine 1% 8% 26% 37% 23% 5% -
93 AHN Isabella 1% 7% 24% 35% 25% 8% 1%
94 MOLHO Sofia 4% 21% 37% 28% 9% 1% -
95 NOVOSELTSEVA Elizabeth (Liza) M. 1% 9% 26% 34% 22% 6% -
96 CHEN Cynthia 14% 38% 33% 13% 2% - -
97 ALFONSO Czarina M. 5% 21% 35% 27% 10% 2% -
97 SADAN Jordan E. 9% 29% 36% 20% 6% 1% -
99 BREKER Anika 2% 16% 37% 32% 11% 2% -
99 LEE Yejine 1% 10% 28% 35% 20% 5% -
101 MCBRYAN Teresa N. - 1% 8% 27% 40% 20% 3%
101 RATSEP Ariel 31% 44% 21% 4% - - -
103 MAROTTA Veronica L. 3% 17% 36% 31% 11% 2% -
103 HUNT Tarleton Q. 1% 9% 35% 37% 16% 3% -
105 YE Eileen 7% 26% 36% 23% 7% 1% -
106 CHO Gracie L. 2% 17% 35% 30% 13% 2% -
106 SHIH Diane 25% 41% 25% 7% 1% - -
108 FERNANDES Thea 27% 41% 24% 7% 1% - -
109 PROCOPIO Lucia 30% 44% 21% 4% - -
110 CHENG Lydia A. 24% 41% 26% 7% 1% -
111 LI Phoebe J. 1% 11% 31% 35% 18% 4% -
112 WU Kyra 21% 41% 28% 9% 1% - -
113 OH Erin H. 7% 29% 37% 21% 6% 1% -
114 NELSON Marissa E. 46% 42% 11% 1% - - -
115 LOW Sharon J. 7% 30% 38% 20% 5% - -
116 BRADFORD Meeah 5% 20% 33% 28% 12% 2% -
117 FREEDMAN Miranda W. 2% 14% 31% 33% 17% 4% -
118 TURNER Stephanie E. 61% 34% 5% - - - -
118 LUU Shanon K. 16% 53% 26% 5% - - -
120 DEBACK Greta I. 10% 38% 36% 13% 2% - -
121 VONA Elena M. 17% 40% 31% 10% 2% - -
122 SANTOS Annika Beatrice I. 35% 45% 17% 3% - - -
123 LUO ZIWEN 15% 36% 32% 14% 3% - -
124 LESLIE Ryanne T. 1% 7% 23% 35% 26% 8% 1%
125 ZAROFF Roxanne 7% 28% 38% 22% 4% -
125 KOKES Gabrielle 6% 28% 40% 21% 5% -
127 LEE Jessica Doyun 46% 40% 12% 2% - - -
128 YU Seneca 10% 29% 34% 20% 6% 1% -
129 KONG Olivia 22% 40% 27% 9% 1% - -
130 CHON Samantha 2% 15% 33% 33% 15% 3% -
131 BATRA Chaahat 21% 41% 28% 9% 1% - -
132 RENTON Samantha 33% 42% 20% 5% - - -
133 TALWALKAR Apoorva 14% 36% 34% 14% 2% - -
134 VEERKAMP Molly 22% 47% 25% 6% 1% - -
135 CHON Sydney 22% 45% 26% 6% 1% - -
136 MING YUE 43% 41% 14% 2% - - -
137 HOLLAND Naomi 54% 37% 8% 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.