Junior Olympics

Junior Women's Saber

Sunday, February 19, 2023 at 2:00 PM

Denver, CO, 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 SHOMAN Jenna - - - - 4% 28% 67%
2 ANDRES Katherine A. - - - 1% 9% 37% 53%
3 ENGELMAN-SANZ Madeline A. - - - 6% 34% 60%
3 TZOU Alexandra - - - 1% 10% 40% 49%
5 NATH Trisha - - 2% 14% 36% 37% 11%
6 LIN Audrey J. - - - 5% 23% 45% 27%
7 OLSEN Natalie J. - - - 3% 18% 43% 36%
8 ANDRES Charmaine G. - - 1% 8% 27% 42% 23%
9 JUNG Irene - - 1% 7% 26% 42% 23%
10 OISHI Megumi - - - - 3% 30% 66%
11 GHAYALOD reya - - 2% 9% 26% 40% 23%
12 LI Victoria J. - - - 2% 18% 48% 31%
13 HE Charlotte - - 1% 9% 31% 42% 18%
14 FOUR-GARCIA Madison - - - 1% 9% 36% 54%
15 YAO Rainie 5% 27% 39% 23% 5% -
16 SINHA Anika 1% 6% 20% 33% 28% 11% 2%
17 JOHNSON Lydia - 1% 9% 30% 42% 16% 2%
18 ALCEBAR Kayla - - 3% 16% 38% 35% 8%
18 ERIKSON Kira R. - - 2% 11% 30% 39% 17%
20 LEE Hannah - - - 4% 18% 42% 35%
21 VESTEL Mira B. - 1% 6% 24% 43% 26%
22 SCHIMINOVICH Sophia I. - - 4% 20% 45% 30%
23 DUCKETT Madison - - - 3% 18% 44% 35%
24 SHEARER Natalie E. - - 2% 11% 34% 41% 13%
25 BLUM Leah I. - - - 4% 21% 46% 29%
26 LU Amy - 3% 15% 33% 34% 14% 1%
27 BEVACQUA Aria F. - - 1% 7% 24% 42% 26%
28 PAUL Lila - - - 5% 27% 53% 14%
29 KIM Marley I. - - 3% 15% 35% 36% 10%
30 SADOVA Olga - 2% 13% 31% 35% 17% 2%
31 HILD Nisha - - - 3% 19% 43% 34%
32 BOIS Adele - - - 2% 15% 47% 36%
33 FREEDMAN Janna N. - - - 1% 6% 34% 59%
33 MIKA Veronica - - - 2% 12% 41% 45%
35 LIU Sophie - - 1% 6% 23% 43% 28%
36 CHIN Sophia J. - - 4% 18% 38% 32% 8%
37 LEE Alexandra B. - - - - 5% 32% 63%
38 SATHYANATH Kailing - - 2% 12% 32% 38% 16%
39 CALLAHAN Chase J. - - 2% 10% 31% 40% 17%
40 NGUYEN Siena - 3% 14% 33% 35% 13% 1%
41 SHI Cathleen - 1% 8% 23% 35% 26% 7%
42 YANG Angelina LeLe - 1% 8% 35% 46% 11%
43 LU Elaine - 1% 7% 25% 41% 25%
44 BALAKUMARAN Maya - 1% 6% 26% 44% 23%
45 SO Catelyn 1% 9% 28% 37% 21% 4%
46 MUND Ruth 4% 21% 37% 28% 9% 1%
47 JEONG Katie - 3% 14% 32% 34% 15% 2%
48 MARSEE Samantha - - - 5% 24% 46% 25%
49 SOURIMTO Valeria - - 3% 14% 37% 38% 8%
50 CHANG Audrey - 3% 19% 37% 30% 10% 1%
51 HUANG MADELINE - 3% 16% 33% 32% 13% 2%
52 DHAR Aamina - 1% 11% 32% 36% 17% 3%
53 ENDO Miyuki N. - - 1% 8% 29% 44% 18%
54 YANG Ashley M. - - 1% 11% 34% 40% 14%
55 LIAO Siwen - 1% 6% 24% 38% 25% 5%
56 GOMERMAN Sophia 1% 10% 29% 35% 20% 5% -
57 CHRISTOTHOULOU Olympia C. 1% 8% 25% 37% 24% 6%
58 MAKLIN Sofia - 5% 26% 40% 24% 5% -
59 CHAVAN Arya 15% 38% 33% 12% 2% - -
60 TSUI Natalie - 2% 10% 28% 37% 20% 4%
61 WEBER Juliana I. - - 3% 14% 34% 36% 13%
62 MOZHAEVA MARIA - - 1% 6% 26% 44% 23%
63 GRAFF Sophie - 4% 25% 40% 25% 6% -
64 LUKASHENKO Angelina - - 4% 21% 40% 29% 6%
65 VADASZ Ibla P. - - - 2% 15% 43% 39%
65 JOHNSON Lauren - - - 5% 24% 44% 26%
67 XIONG Haojiao - 2% 14% 34% 34% 14% 2%
68 MARYASH Samantha - 2% 15% 38% 34% 10% 1%
69 LIGH Erenei J. - - 5% 25% 43% 23% 4%
70 RIZKALA Joanna - - 6% 23% 41% 25% 5%
71 MANSPERGER Leena - 1% 12% 36% 36% 14% 2%
72 BOYNTON Ainsley 1% 9% 29% 37% 20% 4% -
73 TABANGAY Heartlyn - 2% 11% 29% 36% 19% 3%
74 YUAN Greta - 5% 21% 37% 29% 7%
75 CHIN Elise 7% 27% 37% 23% 6% 1%
76 TONG Jessie 2% 14% 32% 33% 16% 3%
77 HAMBAZAZA Liisa 2% 15% 36% 33% 12% 2% -
78 LEE Sophia - 1% 8% 27% 38% 22% 4%
79 ATLURI Sara V. - 1% 8% 27% 39% 23% 3%
80 SCALAMONI-GOLDSTEIN Charlotte S. - - 4% 18% 38% 32% 8%
81 LI Amanda C. - - - 2% 13% 40% 44%
82 LACSON Sarah - - 1% 9% 32% 44% 14%
83 BARNOVITZ Maya - 1% 11% 32% 37% 16% 2%
84 DENG Brooke - 6% 25% 38% 24% 6% -
85 ZHANG Sophie - 5% 24% 41% 24% 5% -
86 HOLMES Emma 2% 16% 36% 32% 12% 2% -
87 LEE Lauren 1% 20% 40% 29% 9% 1% -
88 TURNOF Kayla M. - 1% 12% 36% 37% 12% 1%
89 FAVO Isabella 1% 15% 38% 33% 11% 2% -
89 SCHICK Veronica 3% 22% 40% 26% 7% 1% -
91 HUAI Delilah - 3% 21% 47% 26% 3%
92 TREACY Aisling 15% 38% 32% 12% 2% - -
93 HU Michelle - 18% 43% 30% 8% 1% -
94 LIU Yifei 1% 8% 25% 36% 23% 7% 1%
95 ZHAO Emily W. 4% 23% 37% 26% 9% 1% -
96 WEI JoyAnn 4% 18% 33% 29% 13% 2% -
97 XI Shining - - 2% 13% 38% 40% 8%
98 FESTA Carina - 2% 12% 31% 36% 17% 3%
99 NAYAK Esha 16% 35% 31% 14% 3% - -
100 CODY Alexandra C. - - - 2% 12% 38% 48%
101 JOHNSON Dagny L. - - 5% 21% 41% 28% 6%
102 DAVIS Jayna M. 3% 17% 35% 30% 12% 2% -
103 CANSECO Carly 8% 35% 38% 16% 3% - -
104 LOO Kaitlyn 3% 17% 34% 30% 13% 2% -
105 RAMIREZ Mirka A. 1% 12% 35% 35% 14% 2% -
106 SPEARS Mya B 1% 12% 34% 37% 14% 2% -
107 ALFARACHE Gabriella C. 1% 6% 23% 37% 25% 7% 1%
108 LIU Sydney 4% 18% 33% 30% 13% 3% -
109 YANG Lea - 1% 10% 33% 42% 13% 1%
110 BILILIES Sophia - 2% 12% 30% 36% 18% 2%
111 KER Grace - 1% 5% 21% 42% 31%
112 GORMAN Victoria M. - 2% 10% 30% 40% 18%
113 LIN Nicole 21% 40% 28% 9% 1% -
114 YOUNG Audrey 17% 38% 31% 12% 2% -
115 HITOMI Nadya 5% 26% 40% 23% 5% -
115 DAI Olivia 14% 36% 33% 14% 3% -
117 XU Emily T. 3% 23% 47% 23% 4% -
118 FEIG Sela - 5% 21% 36% 28% 9% 1%
119 NATHANSON Sammy E. - - 5% 25% 41% 25% 5%
120 XIE Nora 12% 35% 36% 15% 2% - -
121 SCOTT Eve 1% 10% 33% 37% 15% 3% -
122 NYSTROM Sofia C. - 2% 16% 38% 33% 10% 1%
123 JIANG Mu Jia (Michelle) 17% 38% 32% 12% 2% - -
124 ZOLLER Noelle 6% 27% 38% 22% 6% 1% -
125 FAN Grace 1% 9% 32% 36% 18% 4% -
126 CHEN Kevy 22% 40% 27% 9% 1% -
127 BROCK Sydney 5% 21% 34% 27% 11% 2% -
128 KANDADAI Lara 1% 11% 32% 35% 17% 3% -
129 DILLE Carolina G. 2% 12% 28% 33% 19% 5% 1%
130 CHO Michelle 5% 32% 40% 19% 4% - -
131 NAYAK Indra 2% 13% 32% 33% 16% 3% -
132 CHIANG Melissa 1% 18% 39% 30% 10% 1% -
133 MARGULIAN Maria 9% 41% 36% 13% 2% - -
134 FANG Sophie 8% 30% 37% 19% 5% - -
135 FENG Alicia G. 6% 32% 39% 18% 4% - -
136 ATTIA Jasmine 5% 25% 40% 24% 5% - -
137 HENRY Soraya S. - 7% 26% 38% 23% 5% -
137 FREY Sarah E. 11% 50% 32% 7% 1% - -
137 BAWA Anahat 2% 15% 35% 34% 12% 1% -
140 NEUMAN Ella 13% 36% 35% 14% 2% - -
141 SLOBODSKY Sasha L. - 5% 21% 37% 28% 8% 1%
142 TAN Adelyn 11% 31% 34% 19% 5% 1% -
143 TODD Phoebe 1% 18% 46% 28% 7% 1% -
144 CHIANG Emily - 2% 16% 36% 33% 12% 1%
145 BROWNER June 18% 52% 25% 5% - - -
146 TUNG Renee 3% 17% 34% 32% 13% 2% -
147 COLBY Mercer 5% 28% 39% 22% 6% 1% -
148 MEDVINSKY Alexandra - 9% 31% 38% 18% 4% -
149 REGANTI Sitara 38% 45% 15% 2% - - -
150 HOLMES Sabrina 29% 42% 22% 5% 1% - -
151 D'ORAZIO Sofia V. 6% 25% 37% 24% 7% 1% -
152 GOURNEAU Sophie L. 56% 36% 8% 1% - - -
153 MULAGARI Sadhika 6% 25% 37% 24% 7% 1%
154 BUHAY Kirsten M. 2% 15% 36% 34% 12% 1%
155 BRAMMER-GONZALES Xiomara 63% 32% 5% - - -
156 ADAMS Morrigan B. 6% 26% 37% 24% 6% 1%
157 NEELEY Leilani 54% 36% 9% 1% - - -
157 GOLOVITSER Maya 3% 32% 42% 19% 4% - -
159 YERRAMILLI Kavya 2% 12% 29% 33% 19% 5% -
160 TESTROET Aubrey 17% 38% 32% 11% 2% - -
161 DONDERIS Katherine 2% 38% 43% 15% 2% - -
161 GOLDIN Nina 2% 15% 41% 32% 9% 1% -
163 STONE Coral 6% 25% 38% 24% 7% 1% -
164 PYO Penelope E. 33% 43% 19% 4% - - -
165 DUDNICK Morgan 10% 36% 37% 14% 2% - -
166 MANN Sophia J. 4% 21% 37% 27% 10% 1% -
167 LIM Jaslene - 2% 12% 33% 37% 15% 2%
168 SHINCHUK Ellisha 1% 14% 36% 34% 12% 2% -
169 DANTULURI Shalini 3% 29% 41% 22% 5% - -
170 LIM Jovine 2% 14% 33% 33% 14% 2% -
170 WILSON Eva 4% 19% 34% 29% 12% 2% -
172 LEMUS-IAKOVIDOU ALEXANDRA - 7% 26% 39% 22% 5% -
173 BIRNSTILL Reese 15% 38% 33% 12% 2% - -
174 FLATT Sophia 1% 18% 40% 30% 10% 1% -
175 SAWANT Asmi 58% 36% 6% - - - -
176 GONTARSKI Rachel 42% 44% 13% 1% - - -
177 RODGERS Rachel 62% 32% 5% - - - -
178 ZHOU Ziling 84% 15% 1% - - - -
179 KIM Nicole 1% 11% 30% 35% 18% 4% -
180 IYER Arushi 23% 50% 23% 4% - - -
181 ERBSEN Sarah 82% 17% 1% - - - -
182 ARNOLD Hali 8% 29% 37% 21% 5% -
183 CHAN Kayla 37% 43% 17% 3% - - -
184 GRULICH Rayaana 9% 30% 36% 19% 5% - -
185 NAYAK Anika 10% 33% 36% 17% 4% - -
186 ELNATAN Mica A. 12% 49% 33% 6% - -
186 YAM Danika 2% 11% 30% 35% 19% 3%
188 CHOW Caitlyn 77% 21% 2% - - - -
189 JEFFORDS Sophia 26% 48% 22% 4% - - -
189 KHAN Alissa 3% 16% 31% 31% 16% 4% -
191 LIN Lauren 45% 39% 13% 2% - - -
192 KIM Caitlin 31% 43% 21% 5% - - -
193 KHOST Maeve 42% 41% 15% 2% - -
194 SYED Azra 69% 27% 4% - - - -
195 FAYETTE Mathilde 71% 26% 2% - - - -
195 LAGOON Miriam 25% 42% 25% 7% 1% - -
197 BRUNGARDT Gabriela 94% 6% - - - - -
197 OWCZARZAK Mae 47% 40% 11% 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.