National Championships & July Challenge (Summer Nationals)

Cadet Women's Saber

Tuesday, July 4, 2023 at 2:00 PM

Phoenix Convention Center - Phoenix, AZ, USA

Probability density of pool victories

Reset

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 JUNG Irene - - - 1% 7% 34% 58%
2 ANDRES Charmaine G. - - - - 3% 25% 72%
3 SCHIMINOVICH Sophia I. - - - 1% 9% 36% 53%
3 FESTA Carina - - 2% 12% 31% 37% 17%
5 MCKEE Brynnley - - 1% 9% 28% 40% 22%
6 KIM Marley I. - - - 3% 15% 40% 42%
7 GHAYALOD reya - - - 2% 12% 39% 48%
8 LAURI Keira 3% 14% 31% 32% 16% 4% -
9 HWANG Gabriela M. - - - 2% 15% 43% 40%
9 NGUYEN Siena - - 1% 9% 30% 41% 18%
11 LU Elaine - - - 1% 11% 37% 51%
12 NATH Trisha - - - 1% 10% 37% 51%
13 XIAO julie - - 1% 9% 28% 40% 21%
14 KER Grace - - - 1% 9% 37% 53%
15 HUANG Rachael - 2% 13% 32% 36% 15% 2%
16 ZENG Sarah 3% 18% 35% 30% 12% 2%
17 HUAI Delilah - - 1% 9% 27% 40% 23%
18 SO Catelyn - - 1% 7% 24% 41% 27%
19 YOUNG Charlotte G. - - 2% 12% 36% 43% 7%
20 LEE Hannah - - - 1% 8% 35% 57%
21 TSUI Natalie - - 1% 8% 25% 40% 26%
22 PAUL Lila - - - 1% 7% 33% 60%
23 BERMAN greta - 1% 7% 27% 40% 21% 3%
24 ANTHONY Alexia B. - - 1% 7% 25% 42% 24%
25 YANG Lea - - 4% 22% 41% 29% 5%
26 ZHANG XUANYI - - 3% 18% 44% 34%
27 PADANILAM Lily 28% 42% 23% 6% 1% -
28 LEMUS-IAKOVIDOU ALEXANDRA - - 7% 27% 41% 23% 3%
29 DAI Olivia - 5% 18% 32% 30% 13% 2%
30 MAKLIN Sofia - - 2% 14% 37% 38% 9%
31 GOMERMAN Sophia - 2% 11% 29% 35% 19% 4%
32 GUVEN Coco - 5% 22% 37% 27% 8% 1%
33 STONE Coral - 4% 18% 35% 30% 11% 1%
34 JEONG Katie - 1% 4% 15% 31% 34% 15%
34 WU Helen - - 1% 6% 21% 41% 31%
36 MARYASH Samantha - 1% 7% 27% 44% 20%
37 CHIARELLI Valentina - - 3% 14% 32% 35% 15%
38 BOYNTON Ainsley - 5% 21% 35% 28% 10% 1%
39 BUSH Bethany - 6% 32% 40% 19% 3% -
40 LIN Nicole - 1% 8% 24% 36% 25% 6%
41 ZOU Yelin - 1% 5% 21% 39% 30% 4%
42 XIONG Haojiao - - 3% 13% 32% 37% 15%
43 XU Emily T. - 6% 21% 34% 27% 10% 1%
44 DANG Kelia 1% 8% 26% 37% 24% 5%
45 MANKOVA Varvara 1% 7% 23% 37% 26% 6%
46 MUND Ruth 1% 7% 24% 37% 25% 6%
47 HU Michelle 1% 6% 22% 37% 28% 7%
48 KONDEV Elizabeth - 1% 9% 28% 40% 22%
49 SCHAIBLE Sofia L. 1% 7% 25% 37% 24% 7% 1%
49 LIU Sydney - 3% 15% 33% 33% 14% 2%
51 WANG Zidan 1% 9% 27% 36% 21% 5% -
52 BEVACQUA Aria F. - - - 2% 11% 38% 49%
53 CANSECO Carly 1% 6% 19% 32% 28% 12% 2%
54 MANN Sophia J. - 3% 15% 33% 33% 14% 2%
55 BUHAY Kirsten M. - 3% 15% 33% 33% 14% 2%
56 MALEK Zolie 1% 5% 19% 32% 29% 12% 2%
57 FERNANDEZ Martina - 5% 21% 36% 28% 9% 1%
58 DHAR Layla - 4% 17% 34% 31% 12% 1%
59 VINOGOROVA Sofiia - 5% 20% 36% 29% 9% 1%
60 FEIG Sela - 1% 8% 23% 35% 26% 7%
61 HU Anna 3% 17% 34% 31% 13% 2% -
62 JOHNSON Dagny L. - 1% 8% 27% 40% 23%
63 SCHMIDT Isabel - 1% 6% 22% 36% 27% 7%
64 SPEARS Mya B 1% 9% 30% 36% 20% 4% -
65 LIM Jaslene - - 4% 16% 34% 33% 12%
66 YAO Rainie - 2% 11% 26% 34% 22% 5%
67 ARNOLD Hali - 2% 9% 27% 37% 22% 3%
68 HAMBAZAZA Liisa - 1% 6% 21% 38% 29% 5%
69 GAUTAM Sahana - 1% 8% 26% 38% 23% 4%
70 CHIANG Melissa - 5% 21% 36% 28% 9% 1%
71 CHRISTOTHOULOU Olympia C. - - 3% 14% 32% 36% 15%
72 LIU Yifei - 1% 6% 22% 36% 28% 7%
73 RAMIREZ Mirka A. - 1% 8% 24% 37% 25% 4%
74 DENG Brooke - 1% 7% 23% 38% 26% 5%
75 ZHANG Sophie - 1% 6% 24% 42% 28%
76 CARTER Keely 6% 26% 38% 24% 6% -
77 NAYAK Esha - 3% 15% 32% 33% 14% 2%
78 DONG Angel - 4% 19% 36% 29% 10% 1%
79 TSE Angelina - - - 4% 20% 44% 31%
80 KURAEVA Vasilisa - 3% 14% 30% 32% 17% 3%
81 LOMOTAN Addison 5% 19% 32% 28% 14% 3% -
82 MARGULIAN Maria 1% 9% 28% 38% 21% 4% -
82 WILSON Eva - 4% 18% 33% 30% 13% 2%
84 TAN Adelyn 1% 9% 25% 34% 23% 7% 1%
85 DIECK Miranda P. 1% 10% 28% 36% 20% 4% -
86 LITTLE Avery - 10% 29% 35% 20% 5% -
87 CROOKS Riley 2% 16% 37% 32% 11% 1% -
88 CHEN Elaine 5% 24% 38% 24% 8% 1% -
88 CAO Sophie 11% 33% 35% 17% 4% - -
90 GOLOVITSER Maya - 4% 19% 35% 30% 11% 1%
91 DAMBAL Sasha - 5% 22% 36% 27% 9% 1%
92 ZOLLER Noelle 1% 10% 28% 36% 20% 4%
93 JEFFORDS Sophia 6% 25% 37% 24% 7% 1%
94 LATYSHAVA Stephanie 12% 35% 34% 15% 3% -
95 KHAN Alissa - 2% 11% 30% 36% 19% 3%
96 WANG Callie - 2% 11% 28% 34% 20% 4%
97 HENRY Soraya S. - 3% 13% 29% 33% 18% 3%
98 GOLDIN Nina - 1% 10% 28% 36% 20% 3%
99 CHAN Jolene 3% 17% 36% 31% 11% 2% -
99 TAN Kylie 2% 16% 35% 31% 13% 2% -
101 LI Alexis 2% 16% 33% 31% 14% 3% -
102 TABANGAY Heartlyn - - 1% 9% 29% 41% 19%
102 FENG Alicia G. 5% 24% 36% 25% 8% 1% -
104 WEI JoyAnn 1% 8% 22% 32% 26% 11% 2%
105 XIE Nora 1% 11% 32% 36% 17% 3% -
105 NAYAK Antara 6% 55% 32% 7% 1% - -
107 WANG yining - 1% 4% 16% 32% 33% 14%
108 CHO Michelle 1% 8% 25% 35% 24% 7% 1%
108 KINKADE Ellie 2% 11% 29% 34% 19% 5% -
108 LIU Moran 10% 35% 36% 16% 3% - -
111 HUANG Neila 11% 31% 34% 18% 5% 1% -
112 DANTULURI Shalini 1% 10% 28% 36% 20% 5% -
113 LEOU Korina 4% 21% 38% 29% 8% 1%
114 MANI Francesca B. 2% 12% 31% 35% 17% 3%
115 LOO Kaitlyn - 5% 21% 36% 28% 9% 1%
116 YAM Danika - 3% 16% 33% 32% 14% 2%
117 KNOBEL Sophia 1% 7% 22% 35% 26% 9% 1%
118 ELLIS-FURLONG Ava 54% 36% 9% 1% - - -
119 HOLMES Sabrina 12% 32% 33% 17% 5% 1% -
120 HSU leah 3% 17% 32% 30% 14% 3% -
121 HAMMERSTROM Aria 1% 11% 33% 37% 16% 3% -
121 PABIAN Emilia 1% 9% 23% 32% 24% 9% 1%
123 FANG Victoria W. - - 2% 11% 33% 41% 14%
124 BUCKHOUSE Talia 9% 34% 36% 17% 4% - -
125 TA-ZHOU Emma 11% 39% 34% 13% 2% - -
126 WANG Peijia 17% 39% 32% 11% 2% -
127 MERCHANT Aishwarya - 6% 24% 39% 26% 6% -
128 DEHON Inès 4% 18% 33% 30% 13% 3% -
129 KRIVOSHEEV Alexandra 2% 13% 27% 31% 19% 6% 1%
130 CONNOLLY Vida 5% 22% 36% 26% 9% 1% -
131 LO Chloe 1% 8% 24% 35% 24% 7% 1%
132 ZHENG Valentina 1% 8% 24% 34% 24% 8% 1%
133 HALPERIN Elizabeth H. 2% 13% 29% 32% 18% 5% 1%
134 CHOU Amy R. 4% 18% 33% 29% 13% 3% -
135 SHINCHUK Ellisha - 4% 19% 35% 29% 10% 1%
136 FAVO Isabella - 1% 9% 26% 38% 23% 4%
137 GRULICH Rayaana - 3% 21% 40% 28% 8% 1%
137 KANDADAI Lara 1% 9% 29% 36% 20% 4% -
139 LEE Lauren 1% 11% 29% 34% 19% 5% -
140 BROWNER June 13% 35% 34% 15% 3% - -
141 CHAVAN Arya 2% 11% 26% 32% 21% 7% 1%
141 PANTALEON-MAZOLA Amari 4% 18% 33% 29% 13% 3% -
141 HAN Emma 46% 40% 12% 2% - - -
144 PROBASCO Leila 4% 23% 38% 26% 8% 1% -
145 MERMEGAS Olivia 25% 41% 25% 7% 1% - -
146 OLKO Sophie 41% 41% 15% 3% - - -
146 WALLER London 11% 32% 34% 18% 5% 1% -
148 BORDAS HILL Georgiana 1% 16% 35% 32% 14% 3% -
149 WANG Jiayi 19% 38% 29% 11% 2% - -
150 ZHAI AMY 5% 22% 37% 26% 9% 1% -
151 LAGOON Miriam 9% 29% 35% 20% 6% 1% -
152 MONTORIO Lily M. 1% 10% 28% 36% 20% 4%
153 CHAN Madeleine V. 25% 42% 25% 7% 1% -
154 BAIREDDY Maya 13% 34% 34% 16% 3% -
155 JIANG Mu Jia (Michelle) 1% 10% 27% 34% 21% 6% 1%
156 HITOMI Nadya 1% 9% 26% 35% 22% 6% 1%
157 KHOST Maeve 19% 43% 29% 9% 1% - -
158 MEDVINSKY Alexandra - 6% 23% 36% 26% 8% 1%
159 LUKER Hannah 18% 39% 31% 11% 2% - -
160 CHI Claire 10% 31% 36% 18% 4% - -
160 ATTIA Jasmine - 4% 17% 31% 30% 14% 3%
162 YOUNG Audrey 4% 17% 31% 29% 15% 4% -
162 CHEN Kevy 1% 8% 27% 37% 22% 5% -
162 GUGALA Hanna 3% 17% 34% 30% 13% 2% -
165 MALLAMPATI Jaabili 28% 44% 22% 5% 1% - -
166 REGANTI Sitara 7% 26% 36% 23% 7% 1% -
167 GOMES Diana C. 5% 22% 34% 26% 10% 2% -
168 ZHOU Ziling 54% 36% 9% 1% - - -
169 VISWANATHAN Nishka 57% 34% 8% 1% - - -
170 WANG JiaQi 7% 27% 37% 22% 6% 1% -
171 BAINS Nandini 23% 40% 27% 8% 1% - -
172 BORGUETA Madison 18% 39% 30% 11% 2% - -
172 NGUYEN Madeleine 31% 42% 21% 5% 1% - -
172 GOSAVI Aabolee 7% 32% 38% 19% 4% - -
175 BANGALORE Shriya 53% 37% 9% 1% - - -
176 YAN Lena 6% 25% 37% 24% 7% 1% -
176 SAAD Alia 32% 44% 20% 4% - - -
178 MUNGUIA Mila 7% 34% 39% 17% 3% - -
179 NEUMAN Ella 1% 14% 32% 32% 16% 4% -
180 NICHOLAS Eva 13% 36% 35% 14% 2% -
181 ZHAN Sophie 7% 28% 37% 22% 6% 1%
182 CHOU Zoe 4% 20% 35% 28% 11% 2% -
182 DUDNICK Morgan 6% 24% 36% 24% 8% 1% -
182 DANTULURI Shivani 43% 40% 14% 3% - - -
185 SRINATH Lyra A. 20% 38% 29% 11% 2% - -
185 SVENSSON Siri Lin 80% 18% 2% - - - -
185 ASHTIANI Shaya 36% 42% 18% 3% - - -
188 ONG Lauren 38% 42% 17% 3% - - -
188 SAWANT Asmi 26% 45% 23% 5% 1% - -
190 MEYERSON Michelle 26% 42% 25% 7% 1% - -
191 BAVIPATI smira 12% 33% 35% 17% 4% -
192 MCCAWLEY Madeleine 87% 13% - - - - -

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.