October NAC

Cadet Women's Foil

Friday, October 12, 2018 at 9:00 AM

Milwaukee, WI - Milwaukee, WI, 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 WEINTRAUB Maia M. - 1% 7% 22% 35% 27% 8%
2 MAK Tinney - - 4% 19% 42% 34%
3 TAN Helen - 4% 16% 33% 31% 14% 2%
3 LAM Justina - - - 1% 9% 36% 55%
5 HAO Alicia - 2% 12% 28% 34% 20% 5%
6 TAN Elisha - - 2% 12% 30% 37% 18%
7 PUSTILNIK Nicole - - - 2% 13% 42% 43%
8 LEE Annora Y. - - 4% 18% 37% 32% 10%
9 CHO Sabrina N. - - 4% 19% 38% 31% 8%
10 PROESTAKIS Katina A. - 1% 5% 21% 36% 29% 9%
11 YAROSHENKO Karina - 1% 8% 25% 37% 23% 4%
12 CHUSID Renata (Renata Chusid) M. - - - 1% 11% 39% 48%
13 GUO Jessica Zi Jia - - - 1% 6% 32% 62%
14 HORSLEY Asherah - - - 2% 16% 47% 35%
15 KIM Rachael - 4% 20% 39% 31% 7%
16 LIN Annie X. 2% 12% 31% 34% 17% 3% -
17 FLANAGAN Catherine H. - - 2% 12% 32% 38% 16%
18 RHODES Zander - - - 2% 14% 41% 42%
19 LEE Allison (Allie) - 1% 9% 29% 41% 20% 1%
20 NISHIMURA Madeleine A. - 5% 19% 33% 29% 12% 2%
21 KOKES Gabrielle - 2% 11% 28% 35% 21% 4%
22 WEINTRAUB Rei H. - 1% 10% 28% 36% 21% 4%
23 AHN Gabriella - - 6% 23% 36% 27% 8%
24 KOO Haley B. - 2% 9% 25% 35% 23% 6%
25 LESLIE Ryanne T. - 1% 5% 17% 32% 32% 13%
26 APELIAN Katherine - 1% 5% 20% 36% 30% 9%
27 FERRARI Christina M. 2% 11% 26% 32% 21% 7% 1%
28 CHOI Lenna K. - 2% 11% 29% 35% 20% 4%
29 JING Alexandra - - 2% 15% 44% 32% 7%
30 SOOD Ishani S. 1% 9% 26% 36% 23% 5%
31 LEE Paulina - 5% 19% 33% 29% 12% 2%
32 FERNANDES Thea 1% 11% 34% 38% 15% 2% -
33 LEE Brianna J. - - 3% 13% 32% 36% 16%
34 NOVOSELTSEVA Anna V. - 1% 6% 24% 38% 25% 6%
35 TALAVERA Daena - - - 3% 18% 48% 31%
36 YANKOVSKIY Anastasia - - 3% 17% 43% 37%
37 SHEN Jasmine N. - 3% 16% 35% 33% 12% 1%
38 ZAROFF Roxanne - 5% 20% 34% 28% 11% 2%
39 PETROVA Kristina - 1% 10% 27% 35% 21% 5%
40 CHEN Shiuan-An Shannon - - 4% 18% 39% 31% 7%
41 MOLHO Sofia - 6% 23% 36% 25% 8% 1%
42 FANG Sabrina - 1% 7% 22% 36% 27% 7%
43 KOENIG Charlotte R. - 2% 14% 33% 33% 15% 3%
44 HE Elizabeth W. - 1% 8% 25% 36% 24% 6%
45 LIN Maggie 1% 8% 25% 35% 23% 7% 1%
46 LI Grace Q. - 1% 8% 29% 42% 19% 2%
47 PAPADAKIS Lily - 2% 11% 27% 34% 21% 5%
48 YAMAGUCHI Kate M. - 1% 12% 39% 40% 7% -
49 STAMOS Maria - - 4% 16% 33% 33% 12%
50 BRADFORD Meeah - 3% 16% 35% 33% 12% 1%
51 ZHENG Ivy - - 1% 9% 28% 40% 21%
52 LI Phoebe J. 2% 12% 29% 34% 18% 4% -
53 SARTORI Taylor M. - 2% 13% 30% 35% 17% 3%
54 CHENG Evelyn 3% 16% 33% 30% 14% 3% -
55 ABAYEVA Sasha 3% 16% 32% 31% 15% 3%
56 LEE Alina - 4% 15% 31% 31% 16% 3%
57 HALL Velma 3% 23% 38% 26% 9% 1% -
58 HUNG Juliana K. 1% 9% 24% 33% 24% 8% 1%
59 ALFONSO Czarina M. 1% 15% 36% 33% 14% 3% -
60 PARK Rowan M. - 1% 7% 26% 42% 22% 3%
61 KIM Kayla A. - 4% 21% 39% 30% 6% -
62 GOMES Rafaella T. - 2% 11% 27% 34% 21% 5%
63 FREEDMAN Miranda W. 25% 42% 25% 7% 1% - -
64 WONG Julia M. - 6% 27% 45% 20% 2% -
65 KNIGHT Skylar - - - 1% 12% 51% 36%
66 ZHENG Vivian - 4% 18% 33% 30% 13% 2%
67 CHON Samantha - 1% 7% 32% 41% 18% 2%
67 HO Brianna W. - 5% 19% 35% 30% 10% 1%
69 CAO Arianna L. - 2% 14% 33% 34% 14% 2%
70 NOVOSELTSEVA Elizabeth (Liza) M. 1% 9% 30% 40% 19% 3%
71 GUERRA Sofia E. - 1% 8% 24% 36% 25% 6%
72 LIAO Lu Jia (Lucy) 2% 16% 35% 32% 13% 2% -
73 IBEN Claire L. - 5% 22% 36% 26% 9% 1%
74 MAROTTA Veronica L. 1% 8% 27% 36% 22% 6% 1%
74 REN Olivia Y. - 4% 16% 31% 31% 15% 3%
76 KOO Rachel A. - - - 3% 21% 53% 23%
77 SERBAN Samantha M. 1% 5% 18% 33% 29% 12% 2%
78 XU Christine - 1% 6% 20% 34% 29% 10%
79 KIM Lauren Hyomin 1% 6% 21% 32% 27% 11% 2%
80 SHEN Sophia H. 10% 39% 36% 13% 2% - -
81 LAU Sydnee M. - 1% 7% 26% 39% 23% 4%
82 QIAN Crystal - - 4% 17% 34% 33% 12%
83 VOHRA Anusha 11% 40% 35% 12% 2% - -
84 BALOT Corinne 3% 16% 32% 31% 15% 3%
85 SADAN Jordan E. 3% 16% 33% 33% 14% 2%
86 BREKER Anika 1% 9% 29% 38% 20% 3%
87 CHENG Lydia A. 1% 11% 32% 37% 17% 3% -
88 WU Catherine 1% 10% 27% 34% 21% 6% 1%
89 AHN Isabella 1% 8% 24% 34% 25% 8% 1%
90 WALKER Mayah J. 4% 20% 35% 28% 11% 2% -
91 OUTHRED Maya E. - 5% 20% 34% 27% 11% 2%
92 YHIP Mikaela M. - 5% 19% 34% 30% 11% 1%
93 KONG Olivia - 5% 21% 39% 28% 6% -
94 RAMAN Tanvi 1% 9% 26% 35% 22% 7% 1%
95 LUO ZIWEN 1% 7% 26% 39% 22% 5% -
96 WU Julianna Y. 2% 17% 36% 31% 12% 2% -
97 UYANIK Nerine - 6% 32% 40% 18% 3%
98 KIM Elisabeth (Gracie) - 3% 17% 41% 33% 6%
99 CHEN Kelly 11% 31% 35% 19% 5% -
100 CHON Sydney 24% 43% 25% 7% 1% -
101 WEINTRAUB Io H. 1% 7% 24% 37% 25% 6%
102 SABATINI Isabella Ravenne 3% 17% 37% 31% 11% 2% -
103 CASTANEDA Erika L. - 1% 7% 26% 41% 22% 3%
104 MASSICK Laine - 1% 9% 29% 38% 20% 3%
105 CHEN Nicole Y. 1% 11% 32% 35% 17% 3% -
106 UPTON Elizabeth - 1% 5% 18% 35% 32% 10%
107 FANG Serena 9% 28% 34% 21% 7% 1% -
108 VEERKAMP Molly 5% 21% 35% 28% 10% 2% -
109 HOBSON Leena 30% 52% 16% 2% - - -
110 SEAL Grace (Gracie) C. 14% 36% 34% 14% 3% - -
111 TRAN Ava D. 1% 11% 30% 34% 19% 5% -
111 ALTEN Ayaka 4% 22% 37% 27% 9% 1% -
113 CONWAY Josephina (JoJo) J. 4% 19% 35% 28% 11% 2% -
114 LUNG Katerina - 1% 6% 26% 40% 23% 4%
115 LIN Ashley 1% 11% 32% 36% 17% 3% -
116 GALAVOTTI Claire Teresa 2% 13% 32% 33% 16% 3% -
117 CEPERO Rosabel 10% 36% 35% 15% 3% - -
118 CHUSID Mikayla 5% 24% 37% 25% 8% 1% -
119 JO Mia C. - 4% 18% 36% 30% 10% 1%
119 HE Xiangxin 1% 12% 31% 34% 17% 4% -
121 THOMAS Aaria S. 28% 43% 23% 6% 1% - -
122 LAU Chloe M. 10% 29% 35% 20% 6% 1% -
123 SHANG Andrea 2% 14% 31% 32% 16% 4% -
124 OH Erin H. 7% 28% 37% 21% 6% 1% -
125 CHO Gracie L. - 1% 7% 22% 35% 27% 8%
125 LEVI Lea - 12% 41% 36% 10% 1% -
127 SCHATZ Kristina J. - 1% 4% 18% 36% 31% 10%
128 HOLLE Aviella S. 1% 7% 22% 33% 26% 10% 1%
129 VONA Elena M. 9% 31% 36% 19% 4% - -
130 TAN Clarisse 4% 19% 34% 29% 12% 2% -
131 SIMPSON Lydia Q. 3% 16% 32% 31% 15% 3% -
132 RATSEP Ariel 1% 10% 26% 33% 22% 7% 1%
133 HIRSCH Sophie A. 27% 47% 22% 4% - -
134 ATLURI Srija 5% 30% 40% 21% 4% -
134 SONG ShuXuan (Liliya) 44% 41% 14% 2% - -
136 JING Emily 2% 17% 40% 31% 9% 1%
137 CHUNG Ashley J. 27% 41% 24% 7% 1% - -
138 SANTOS Annika Beatrice I. 10% 35% 38% 15% 2% - -
139 KONG Chin-Yi 3% 17% 34% 31% 13% 2% -
140 BOODELL Ella 5% 23% 37% 25% 8% 1% -
140 YEH Marissa E. 6% 27% 37% 23% 7% 1% -
142 LOCKE Savannah - < 1% 6% 24% 40% 26% 4%
143 PO Edith 2% 13% 30% 33% 18% 5% -
144 WU Irene M. 11% 32% 34% 17% 5% 1% -
145 PERLMAN Talia 10% 31% 35% 19% 5% - -
146 RASO Sofia G. - < 1% 3% 16% 39% 34% 8%
146 SU Alysa J. 14% 37% 33% 13% 2% - -
148 LEE Angelina S. 27% 43% 24% 5% 1% - -
148 KLINE Melissa C. 18% 44% 32% 6% - - -
150 NARANG Maya 7% 27% 36% 22% 7% 1% -
151 SHITAMOTO Audrey F. 18% 38% 30% 11% 2% - -
151 HEISER Anna M. 37% 43% 17% 3% - - -
153 SHEPTAK Gabrielle 28% 46% 22% 4% - - -
154 DRAGNE Alexis D. 28% 44% 22% 4% - - -
155 YIN Helen 51% 37% 11% 2% - - -
156 SULLIVAN Aya M. 18% 41% 31% 9% 1% - -
157 ADAMS KIM Natalie 8% 29% 37% 20% 5% - -
157 CHUNG Rachel J. 2% 12% 30% 33% 18% 4% -
159 KELBLEY Elena J. 28% 44% 22% 5% 1% - -
160 SCHWARTZMAN Salma 13% 37% 36% 13% 1% - -
160 WANG ROBIN 16% 40% 33% 10% 1% - -
160 BOLES Sophia 28% 43% 23% 6% 1% - -
163 HICKS Bronwen 30% 47% 20% 3% - - -
164 POWERS Kathryn 43% 41% 14% 2% - - -
165 MULLENEX Laura 70% 28% 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.