November NAC

Cadet Women's Saber

Sunday, November 10, 2019 at 10:30 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 WILLIAMS Jadeyn E. - - - 1% 12% 41% 45%
2 PAK Kaitlyn - - 1% 10% 29% 40% 20%
3 NAZLYMOV Tatiana F. - - 3% 16% 35% 33% 11%
3 YONG Erika E. - - 1% 10% 34% 42% 13%
5 DI PERNA Chiara I. - - - - 1% 13% 86%
6 SULLIVAN Siobhan R. - - - 3% 14% 39% 43%
7 LU Vivian Y. - - - 2% 15% 45% 38%
8 CHIOLDI Mina - 1% 7% 23% 36% 27% 6%
9 KIM Zoe - - - 2% 13% 39% 46%
10 CHANG Josephine S. - - 1% 9% 34% 41% 15%
11 TIMOFEYEV Nicole - - - 4% 19% 42% 35%
12 BOIS Adele - - 2% 10% 28% 39% 21%
13 TANG Annie L. - - 2% 12% 32% 39% 15%
14 FREEDMAN Janna N. - - - 3% 16% 41% 40%
15 JULIEN Michelle 1% 8% 24% 34% 24% 8% 1%
16 POSSICK Lola P. - - - 1% 11% 40% 47%
17 LACSON Sarah - 1% 8% 22% 33% 27% 9%
18 CHIN Erika J. - - - 4% 18% 41% 36%
19 CODY Alexandra C. - - 3% 19% 39% 32% 7%
20 YUN Maya - 4% 17% 34% 31% 12% 1%
21 WILLIAMS Chloe C. - - - 3% 17% 41% 38%
22 HUANG Sharon 2% 11% 28% 33% 20% 5% 1%
23 HE Charlotte - 1% 6% 20% 35% 29% 10%
24 CHAN Audrey - 1% 8% 23% 35% 26% 7%
25 FOUR-GARCIA Madison - - 1% 5% 23% 43% 28%
26 WU Erica L. 1% 5% 16% 30% 30% 15% 3%
27 SATHYANATH Kailing - 1% 7% 22% 36% 27% 7%
28 SHEARER Natalie E. - 1% 10% 29% 38% 19% 3%
29 YAP Madeline - 2% 10% 28% 36% 21% 4%
30 CAO Stephanie X. - - 1% 6% 29% 44% 21%
31 MIKA Veronica - 2% 12% 31% 35% 17% 3%
32 DHAR Aamina 5% 23% 37% 26% 8% 1% -
33 TZOU Alexandra - - 1% 6% 23% 41% 29%
34 MOZHAEVA MARIA - 2% 11% 30% 36% 18% 3%
35 JOHNSON Lauren 1% 7% 22% 35% 26% 8% 1%
35 ANDRES Katherine A. - 1% 10% 30% 36% 19% 3%
37 REDDY Shreya - 1% 7% 24% 37% 26% 6%
38 NI Sharon 2% 12% 30% 34% 18% 4% -
39 GREENBAUM Ella K. - - 1% 8% 27% 41% 23%
40 OISHI Megumi - - - 4% 18% 42% 36%
41 XU Ellen - - 6% 26% 40% 23% 4%
42 WEBER Juliana I. - - 4% 17% 36% 32% 10%
43 ENGELMAN Madeline A. - - 1% 8% 31% 42% 18%
44 TAO Hannah J. - - 2% 12% 31% 38% 17%
45 BEALE Zoe M. - 3% 15% 33% 34% 14%
46 WIGGERS Susan Q. - 1% 8% 27% 41% 23%
47 BENOIT Adelaide L. - 2% 11% 30% 35% 19% 4%
48 FEARNS Zara A. - 2% 14% 34% 34% 14% 2%
49 KATZ Anat - 1% 7% 23% 37% 27% 6%
50 KOBOZEVA Tamara V. - 2% 11% 31% 36% 17% 3%
51 GORMAN Victoria M. - 1% 6% 24% 38% 25% 6%
52 PRIEUR Lauren - 4% 19% 33% 29% 12% 2%
53 BALAKUMARAN Maya 1% 10% 30% 35% 19% 4% -
54 SHIN Andrea Y. 1% 9% 27% 37% 22% 4% -
54 MARSEE Samantha 2% 11% 28% 33% 20% 6% -
56 ANDRES Charmaine G. 2% 13% 28% 31% 19% 6% 1%
57 DARINGA Arianna 3% 16% 33% 32% 14% 2%
58 DUCKETT Madison 2% 10% 25% 32% 22% 8% 1%
59 KOO Samantha - 3% 19% 36% 30% 10% 1%
60 LARIMER Katherine E. - 7% 26% 36% 23% 6% 1%
61 BLUM Leah I. - - 1% 5% 24% 47% 24%
62 ATLURI Sara V. - - 3% 17% 37% 33% 9%
63 JIN Olivia P. - 4% 24% 41% 25% 6% -
64 DUBOIS Lauren N. - 1% 7% 24% 36% 25% 7%
65 GUTHIKONDA Nithya - - 1% 5% 22% 43% 29%
66 OXENSTIERNA Carolina - 6% 23% 37% 25% 7% 1%
67 STONE Hava S. - 1% 8% 27% 37% 22% 4%
68 YANG Ashley M. - 2% 13% 31% 35% 17% 3%
69 SCALAMONI-GOLDSTEIN Charlotte S. - 1% 11% 36% 38% 14% 1%
70 CHING Sapphira S. 1% 6% 21% 36% 28% 9%
71 CALVERT Sarah-Jane E. - 2% 14% 34% 33% 14% 2%
72 NYSTROM Sofia C. 1% 11% 30% 36% 19% 4% -
73 SHOMAN Jenna - - 2% 14% 34% 37% 13%
74 LI Amanda C. - 1% 9% 27% 37% 22% 5%
74 SHOMAN Miriam - 3% 17% 34% 31% 13% 2%
76 DELSOIN Chelsea C. - - 4% 16% 34% 33% 12%
77 MATAIEV Natalie S. - 6% 25% 36% 24% 7% 1%
78 CHEN Xinyan - 4% 25% 40% 24% 6% -
79 BALMASEDA Sabrina F. - 3% 16% 33% 32% 14% 2%
79 TUCKER Iman R. - 1% 5% 20% 36% 29% 9%
81 SUBRAMANIAN Nitika 1% 6% 22% 37% 27% 7% 1%
82 HOVERMAN Hannah A. - 7% 27% 36% 22% 6% 1%
83 LIN Zhiyin 9% 29% 36% 20% 5% -
84 DUNGEY Amelia S. - - - 5% 21% 42% 32%
84 TANG Catherine H. 1% 5% 19% 34% 29% 11% 1%
86 KALINICHENKO Alexandra (Sasha) 1% 10% 28% 34% 20% 5% -
87 KALRA Himani V. - 1% 8% 25% 36% 24% 5%
88 LUKASHENKO Angelina 1% 8% 28% 37% 21% 5% -
89 BUHAY Rachel T. - 3% 14% 31% 32% 17% 3%
90 LIGH Erenei J. 5% 22% 36% 26% 9% 1% -
91 TONG Kunling - - - 2% 13% 40% 46%
91 ZIELINSKI Isabella G. - 2% 11% 28% 34% 20% 4%
91 LIN Selena 2% 19% 41% 30% 8% 1% -
94 PLONKA Kaley V. 1% 11% 35% 38% 13% 2% -
95 GIRARDI Aemilia 4% 30% 39% 21% 5% 1% -
96 LI Victoria J. - 1% 5% 19% 37% 32% 8%
97 ROGERS Pauline E. 9% 30% 37% 20% 5% - -
98 RIZKALA Joanna - 4% 15% 29% 31% 17% 4%
99 SHI Cathleen 3% 22% 37% 27% 9% 1% -
100 NEIBART Fiona 2% 12% 30% 34% 18% 4% -
101 LIAO Siwen 3% 22% 38% 27% 9% 1% -
102 GRAFF Sophie 1% 9% 25% 34% 23% 7% 1%
103 YEN Natalie 21% 43% 27% 8% 1% - -
104 MUNGOVAN Cecilia C. 17% 38% 31% 12% 2% - -
105 OLSEN Natalie J. - - 3% 15% 34% 35% 12%
106 ROMAGNOLI Isabella 1% 5% 19% 33% 29% 12% 2%
107 SIMONIAN Olivia A. 11% 33% 35% 17% 4% - -
108 HOLMES Emma 27% 42% 24% 6% 1% - -
109 WHALEN Paige C. 11% 32% 34% 18% 5% 1% -
110 SOURIMTO Valeria 2% 12% 30% 34% 19% 4%
111 FLOREZ Melissa - 3% 16% 34% 34% 12%
112 CANNON Sophia E. 3% 15% 32% 32% 15% 3%
113 YERRAMILLI Kavya 12% 33% 34% 16% 3% -
114 HILD Nisha 7% 26% 36% 23% 7% 1%
115 PAUL Lila - 1% 9% 32% 39% 17% 2%
116 YANG Angelina 1% 10% 29% 35% 19% 5% -
117 LU Amy 4% 19% 35% 29% 12% 2% -
118 DEPEW Charlotte R. 5% 23% 36% 26% 9% 1% -
118 NEWELL Alexia C. - 2% 12% 32% 37% 16% 1%
118 CHIANG Emily 8% 30% 38% 19% 4% - -
121 CHEN Grace 18% 51% 25% 5% 1% - -
122 TURNOF Kayla M. 1% 10% 29% 35% 20% 5% -
123 SATHE Mehek S. 1% 6% 23% 35% 25% 8% 1%
124 ERIKSON Kira R. 1% 10% 28% 34% 20% 5% -
125 LEE Sophia 4% 24% 39% 25% 7% 1% -
126 SINHA Anika - 6% 21% 34% 27% 11% 2%
127 BAKER Audrey C. 1% 8% 26% 35% 23% 7% 1%
128 FU Linqian (Helen) 11% 32% 35% 18% 5% - -
129 KRYLOVA Valery 2% 19% 35% 29% 12% 2% -
130 BOLTON Eleksi M. 15% 42% 31% 10% 2% - -
131 ALCEBAR Kayla 1% 6% 20% 33% 28% 11% 1%
132 KONG Isabel - 1% 9% 28% 39% 21% 1%
133 WILSON Isley N. 1% 6% 25% 37% 24% 7% 1%
134 NATHANSON Sammy E. - 2% 16% 35% 32% 13% 2%
134 LIN Angela - 3% 15% 32% 32% 14% 2%
136 BEVACQUA Aria F. - 5% 21% 36% 27% 9% 1%
137 SU Emma 5% 22% 35% 26% 10% 2% -
138 GAJOWSKYJ Sophie K. 20% 44% 28% 8% 1% - -
139 WHEELER Kira 7% 38% 38% 14% 3% - -
140 YANG Lele 33% 47% 18% 2% - - -
141 NOVICK Mia J. 4% 23% 45% 23% 5% - -
142 HURST Kennedy 7% 27% 36% 22% 6% 1%
143 ENDO Miyuki N. 21% 39% 28% 10% 2% -
144 WANG Jianning 1% 16% 38% 31% 11% 2% -
145 NG Sarah W. 27% 41% 24% 7% 1% - -
146 VADASZ Ibla P. - 2% 12% 31% 35% 17% 3%
147 FERRARI-BRIDGERS Marinella O. - 3% 13% 31% 34% 17% 3%
148 MCMAHON Byronie 20% 40% 29% 9% 1% - -
149 SHIH Christina 17% 38% 31% 11% 2% - -
150 BAKER Amelia M. 29% 47% 20% 3% - - -
151 KIM Sujin 10% 31% 36% 19% 4% - -
151 FANG Victoria W. - 5% 18% 32% 30% 13% 2%
153 HUANG Tina 27% 41% 24% 7% 1% - -
154 JEAN Olympe G. 24% 42% 26% 7% 1% - -
155 UNGUREANU Lisa 10% 31% 35% 19% 5% 1% -
156 BATRA Simran 46% 41% 11% 1% - - -
157 CUNNINGHAM Erin 35% 50% 13% 1% - - -
158 LESSARD-KULCHYSKI Khloé 5% 24% 37% 25% 7% 1% -
159 BENTOLILA Thalia 11% 33% 35% 17% 4% - -
160 OWENS Celine A. 6% 22% 33% 26% 11% 2% -
161 TODD Peregrine 7% 33% 39% 17% 4% - -
162 LU Elaine 3% 20% 36% 29% 11% 2% -
163 TODD Phoebe 13% 37% 34% 13% 3% - -
164 ADAMS Morrigan B. 7% 37% 39% 14% 2% - -
164 SUN Jialing 47% 40% 12% 1% - - -
164 BILILIES Sophia 14% 35% 33% 15% 3% - -
167 MORAN Rhea 28% 44% 22% 5% 1% - -
168 ZINNI Kaylyn M. 2% 14% 31% 33% 17% 4% -
169 JAVERI Amaya 40% 42% 16% 3% - - -
170 DAVIS Charlotte 64% 30% 5% - - - -
171 PIOVANETTI Diana 37% 44% 16% 3% - - -
172 WEI Vivian W. 11% 31% 34% 19% 5% 1% -
172 LEI Weixuan (Demi) 73% 24% 3% - - - -
174 ZENG Megan 62% 32% 5% - - - -
175 PENG Florella 7% 23% 33% 25% 10% 2% -
175 CRUZ Sonia 57% 37% 6% - - - -
177 KOLL-BRAVMANN Ryder S. 43% 47% 9% 1% - - -
177 LIGH Karis 69% 27% 4% - - - -
177 STREU Mirabel 66% 30% 4% - - - -
177 LI Angela 59% 33% 7% 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.