October NAC

Cadet Women's Saber

Friday, October 27, 2023 at 3:00 PM

Orange County Convention Center - Orlando, FL, USA

Probability density of pool victories

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Explore the probability of achieving at least a certain number of victories in the pool 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 XIAO julie 100% 100% 100% 100% 98% 84% 43%
2 MCKEE Brynnley 100% 100% 100% 100% 97% 80% 38%
3 HWANG Gabriela M. 100% 100% 100% 100% 97% 83% 42%
3 ANDRES Charmaine G. 100% 100% 100% 100% 100% 94% 62%
5 NATH Trisha 100% 100% 100% 100% 96% 76% 33%
6 YOUNG Charlotte G. 100% 100% 99% 93% 73% 38% 9%
7 TSUI Natalie 100% 100% 100% 99% 94% 71% 30%
8 LIN Nicole 100% 99% 94% 73% 37% 8%
9 KER Grace 100% 100% 100% 100% 100% 94% 64%
10 TSE Angelina 100% 100% 100% 98% 90% 65% 26%
11 PAUL Lila 100% 100% 100% 100% 100% 94% 63%
12 LU Elaine 100% 100% 100% 100% 97% 81% 40%
13 LEE Hannah 100% 100% 100% 100% 99% 93% 60%
14 ANTHONY Alexia B. 100% 100% 100% 97% 86% 57% 19%
15 BEVACQUA Aria F. 100% 100% 100% 100% 99% 92% 59%
16 GHAYALOD reya 100% 100% 100% 100% 99% 92% 58%
17 FEIG Sela 100% 100% 100% 95% 78% 43% 11%
18 BOYNTON Ainsley 100% 100% 97% 82% 50% 17% 2%
19 MANKOVA Varvara 100% 100% 98% 89% 62% 25% 4%
20 SCHIMINOVICH Sophia I. 100% 100% 100% 99% 95% 75% 33%
21 YANG Lea 100% 100% 98% 83% 48% 12%
22 LAURI Keira 100% 97% 79% 43% 12% 1%
23 CHAVAN Arya 100% 98% 82% 46% 13% 1%
24 ZENG Sarah 100% 100% 99% 90% 62% 25% 4%
25 DANTULURI Shalini 100% 100% 95% 75% 38% 9% 1%
26 CHIARELLI Valentina 100% 100% 100% 98% 87% 57% 18%
27 SHI Julia 100% 100% 95% 75% 39% 11% 1%
28 BERMAN greta 100% 100% 97% 84% 52% 18% 2%
29 TABANGAY Heartlyn 100% 100% 99% 93% 71% 34% 6%
30 MARYASH Samantha 100% 100% 99% 91% 64% 22%
31 ZHANG XUANYI 100% 100% 99% 94% 70% 28%
32 WU Helen 100% 100% 99% 90% 64% 23%
33 MUND Ruth 100% 100% 96% 79% 42% 9%
34 MANN Sophia J. 100% 100% 98% 87% 59% 23% 4%
35 WEI JoyAnn 100% 100% 98% 89% 61% 24% 3%
36 YAO Rainie 100% 100% 96% 82% 53% 21% 3%
37 ATTIA Jasmine 100% 99% 93% 71% 37% 10% 1%
38 FERNANDEZ Martina 100% 100% 97% 82% 49% 16% 2%
39 LITTLE Avery 100% 99% 91% 64% 27% 5%
40 STONE Coral 100% 97% 79% 40% 11% 1%
41 CHUNG Hailey 100% 100% 99% 90% 66% 30% 5%
42 VINOGOROVA Sofiia 100% 100% 99% 91% 64% 26% 4%
43 SAYSON Andrea 100% 100% 96% 80% 47% 16% 2%
44 GOMERMAN Sophia 100% 100% 99% 89% 62% 24% 3%
45 MAKLIN Sofia 100% 100% 99% 94% 72% 35% 7%
46 FESTA Carina 100% 100% 100% 98% 89% 60% 21%
47 ZHANG Sophie 100% 100% 99% 93% 69% 30% 4%
48 HUANG Rachael 100% 100% 99% 93% 71% 34% 6%
49 ZHANG Chenfei 100% 100% 99% 90% 61% 22% 2%
50 CHRISTOTHOULOU Olympia C. 100% 100% 100% 98% 87% 57% 19%
51 KHAN Alissa 100% 100% 98% 86% 54% 16%
52 KURAEVA Vasilisa 100% 99% 89% 61% 25% 4%
53 YU Zhiang 100% 100% 97% 81% 45% 11%
54 LUKER Sophia 100% 100% 99% 90% 61% 20%
55 DHAR Layla 100% 100% 94% 69% 32% 8% 1%
56 BERNARD Kathryn 100% 97% 82% 52% 21% 5% -
57 DAVIDOVA Kira 100% 92% 65% 31% 9% 1% -
58 HALPERIN Elizabeth H. 100% 95% 75% 42% 15% 3% -
59 PABIAN Emilia 100% 100% 98% 86% 55% 18% 2%
60 SCHAIBLE Sofia L. 100% 99% 92% 71% 38% 12% 2%
61 HAMBAZAZA Liisa 100% 100% 100% 96% 81% 47% 13%
62 HUANG Doris 100% 99% 85% 50% 17% 3% -
63 VINOKUR Anita 100% 98% 81% 43% 12% 2% -
64 MERCHANT Aishwarya 100% 96% 75% 38% 10% 1%
65 LIU Sydney 100% 100% 99% 88% 60% 24% 4%
66 FAVO Isabella 100% 100% 96% 80% 45% 11%
67 SENOGLU Irmak 100% 100% 100% 97% 84% 47% 8%
68 LIU Yifei 100% 100% 100% 96% 80% 45% 11%
69 WANG Zidan 100% 100% 96% 80% 48% 17% 2%
70 NEUMAN Ella 100% 96% 73% 35% 9% 1% -
70 HU Anna 100% 100% 95% 76% 41% 11% 1%
72 WANG Gloria Ruoyan 100% 100% 99% 93% 69% 30% 4%
73 JEONG Katie 100% 100% 100% 98% 87% 57% 17%
74 WANG Callie 100% 99% 89% 58% 21% 3%
75 JOHNSON Dagny L. 100% 100% 100% 97% 81% 39%
76 CAO Sophie 100% 85% 46% 14% 2% -
77 LO Chloe 100% 97% 81% 47% 17% 3% -
78 RAMIREZ Mirka A. 100% 100% 98% 88% 59% 22% 3%
79 NICHOLAS Eva 100% 91% 60% 24% 6% 1% -
80 MEDVINSKY Alexandra 100% 100% 97% 81% 46% 14% 1%
81 NAYAK Esha 100% 100% 97% 81% 47% 14% 1%
82 XIE Nora 100% 98% 86% 56% 23% 5% -
83 KONDEV Elizabeth 100% 100% 99% 93% 68% 28% 3%
84 GUGALA Hanna 100% 100% 94% 72% 35% 9% 1%
85 HENRY Soraya S. 100% 100% 98% 87% 57% 21% 3%
86 LEMUS-IAKOVIDOU ALEXANDRA 100% 100% 96% 80% 47% 16% 2%
87 MALEK Zolie 100% 100% 98% 85% 54% 20% 3%
88 ELLIS-FURLONG Ava 100% 76% 32% 6% 1% - -
89 HUAI Delilah 100% 100% 100% 97% 80% 38%
90 SO Catelyn 100% 100% 99% 91% 63% 21%
91 KNOBEL Sophia 100% 91% 62% 25% 5% -
92 LIU Hannah 100% 91% 59% 23% 4% -
93 DAI Olivia 100% 100% 95% 73% 34% 6%
94 LOO Kaitlyn 100% 97% 79% 42% 12% 1%
95 MUNGUIA Mila 100% 80% 41% 12% 2% -
96 PADANILAM Lily 100% 97% 79% 42% 12% 2% -
97 HU Michelle 100% 100% 98% 83% 48% 15% 2%
98 TENG EMMA 100% 100% 94% 74% 40% 12% 1%
99 CROOKS Riley 100% 96% 72% 33% 8% 1% -
100 LEE Lauren 100% 99% 88% 57% 22% 5% -
101 DONG Angel 100% 100% 96% 76% 39% 9% 1%
101 GOLDIN Nina 100% 100% 98% 86% 55% 20% 3%
103 HAMMERSTROM Aria 100% 99% 87% 56% 21% 4% -
104 NGUYEN Siena 100% 100% 100% 98% 88% 60% 20%
105 LI Alexis 100% 99% 88% 57% 22% 4% -
106 BUHAY Kirsten M. 100% 99% 90% 62% 25% 4%
107 WANG yining 100% 100% 97% 82% 45% 11%
108 XU Emily T. 100% 97% 81% 45% 13% 1%
109 LATYSHAVA Stephanie 100% 78% 37% 9% 1% -
110 HSU Leah 100% 95% 70% 33% 8% 1%
111 GRULICH Rayaana 100% 99% 88% 58% 22% 4%
112 BAINS Nandini 100% 73% 31% 7% 1% -
113 GUVEN Coco 100% 100% 95% 76% 40% 11% 1%
114 LIM Jaslene 100% 100% 100% 97% 81% 45% 10%
115 LEE Alyson 100% 96% 76% 39% 11% 1% -
116 MARGULIAN Maria 100% 98% 85% 52% 19% 3% -
117 PROBASCO Leila 100% 98% 83% 49% 17% 2% -
117 GOLOVITSER Maya 100% 100% 95% 74% 38% 11% 1%
119 DIECK Miranda P. 100% 95% 76% 43% 15% 3% -
120 DAMBAL Sasha 100% 99% 93% 71% 37% 10% 1%
121 LOMOTAN Addison 100% 94% 65% 27% 6% 1% -
122 XU Kaylyn 100% 93% 66% 29% 7% 1% -
123 FREEMAN Armine 100% 94% 68% 32% 9% 1% -
124 LI Sonia 100% 89% 54% 19% 4% - -
125 CHIANG Melissa 100% 98% 83% 49% 16% 3% -
126 LEOU Korina 100% 100% 95% 76% 43% 14% 2%
127 KRIVOSHEEV Alexandra 100% 99% 91% 63% 28% 6% 1%
128 BUSH Bethany 100% 95% 73% 36% 10% 1%
129 BROWN Olivia 100% 99% 92% 70% 37% 11% 1%
130 TURIANO Nadelle 100% 94% 55% 18% 3% - -
131 TA-ZHOU Emma 100% 95% 74% 38% 11% 2% -
132 WANG Jiayi 100% 97% 79% 43% 13% 2% -
133 MONTORIO Lily M. 100% 99% 88% 59% 25% 6% 1%
134 KIM Audrey 100% 73% 28% 5% - - -
135 JEFFORDS Sophia 100% 97% 78% 40% 11% 1% -
136 TAN Kylie 100% 97% 81% 48% 16% 3% -
137 RIFKIN Lielle 100% 51% 13% 2% - - -
138 BLAKE Anna 100% 93% 69% 35% 11% 2% -
139 LUKER Hannah 100% 96% 68% 29% 7% 1% -
140 LOPEZ-ONA Mia 100% 99% 87% 56% 21% 4% -
141 SADANI Jyotika 100% 78% 33% 7% 1% -
142 OU Yixuan 100% 69% 27% 5% 1% -
143 BORGUETA Madison 100% 72% 30% 7% 1% -
143 HO Sophia 100% 36% 6% - - -
145 MAGITSKY Leila 100% 71% 26% 5% - -
146 BAIREDDY Maya 100% 96% 75% 38% 10% 1% -
147 GARRETT Madrid 100% 95% 74% 40% 14% 3% -
147 WALLER London 100% 95% 67% 29% 7% 1% -
149 DANTULURI Shivani 100% 50% 11% 1% - - -
150 DE SILVA Augusta 100% 97% 76% 39% 11% 1% -
151 CHI Claire 100% 95% 65% 26% 6% 1% -
151 ZOLLER Noelle 100% 97% 84% 55% 23% 5% 1%
153 PANTALEON-MAZOLA Amari 100% 99% 91% 65% 29% 7% 1%
154 ALAMI Amira 100% 67% 25% 5% 1% - -
154 ONG Lauren 100% 67% 25% 5% - - -
156 BROWN Aria 100% 72% 29% 6% 1% - -
157 CHEN Kevy 100% 97% 81% 50% 20% 4% -
158 CUTLER Juliet 100% 44% 9% 1% - - -
159 NAYAK Antara 100% 50% 12% 1% - - -
159 XU Demi 100% 37% 6% - - - -
161 SYED Azra 100% 39% 7% 1% - - -
161 SHEN Emily 100% 71% 29% 7% 1% - -
163 YOUNG Audrey 100% 98% 77% 38% 10% 1%
164 FAN Alexandria 100% 85% 47% 14% 2% -
164 DUDNICK Morgan 100% 96% 75% 37% 9% 1%
166 ELNATAN Mica A. 100% 90% 56% 21% 4% - -
166 PICO DIB Clemance Cristina 100% 53% 14% 2% - - -
168 PROZUMENT Elizabeth 100% 80% 40% 12% 2% - -
168 NGUYEN Madeleine 100% 84% 46% 14% 2% - -
170 DONDERIS Katherine 100% 96% 74% 33% 8% 1% -
171 UEMOTO Lynn 100% 90% 53% 17% 3% - -
171 SVENSSON Siri Lin 100% 27% 3% - - - -
173 KHOST Maeve 100% 70% 29% 7% 1% - -
173 BANGALORE Shriya 100% 46% 10% 1% - - -
173 TISSONE Veronica 100% 68% 25% 5% - - -

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.