December SJCC + Division 1 NAC

Cadet Women's Saber

Monday, December 4, 2023 at 8:00 AM

Richmond, VA, 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 ZHANG XUANYI - - - 4% 20% 42% 33%
2 LEOU Korina - - 5% 21% 38% 28% 7%
3 LI Alexis - 2% 11% 27% 33% 21% 5%
3 ZENG Sarah - - 2% 9% 27% 40% 22%
5 PABIAN Emilia - - 3% 17% 37% 33% 10%
6 BOYNTON Ainsley - - 1% 8% 27% 41% 23%
7 FERNANDEZ Martina - - 4% 17% 34% 33% 12%
8 CHIANG Melissa 2% 12% 31% 35% 17% 3%
9 MANKOVA Varvara 1% 7% 23% 36% 27% 8%
10 ZHANG Chenfei - - 4% 18% 36% 32% 9%
11 WANG yining - - 4% 17% 34% 33% 12%
12 KHAN Alissa - 1% 7% 28% 43% 21%
13 GUGALA Hanna - 3% 15% 33% 35% 14%
14 YANG Lea - - 2% 10% 28% 38% 21%
15 TABANGAY Heartlyn - - 1% 6% 22% 41% 30%
16 LIN Nicole - - 1% 6% 23% 41% 28%
17 DONG Angel - 1% 8% 23% 34% 26% 8%
18 CHAN Jolene - 5% 20% 37% 30% 9%
18 FAVO Isabella - 1% 6% 26% 43% 24%
20 SENOGLU Irmak - 1% 9% 29% 40% 20%
21 MAKLIN Sofia - - 4% 15% 32% 34% 14%
22 ZHANG Sophie - 2% 9% 24% 34% 24% 7%
23 MARGULIAN Maria 1% 8% 23% 33% 25% 9% 1%
24 GOLDIN Nina 1% 7% 23% 36% 26% 7%
25 CHRISTOTHOULOU Olympia C. - - 1% 7% 26% 42% 24%
26 SCHAIBLE Sofia L. - 1% 8% 25% 36% 24% 5%
27 LIU Yifei - 2% 12% 32% 38% 16%
28 WEI JoyAnn - 3% 16% 35% 33% 12%
29 CARTER Keely 1% 6% 20% 32% 28% 12% 2%
30 CHI Claire 18% 39% 30% 11% 2% -
31 ZOLLER Noelle 1% 8% 24% 33% 24% 9% 1%
32 LEMUS-IAKOVIDOU ALEXANDRA - 4% 16% 31% 31% 15% 3%
33 DUDNICK Morgan 1% 7% 23% 34% 25% 9% 1%
34 GUVEN Coco - 5% 20% 36% 29% 9%
35 SHINCHUK Ellisha - 2% 12% 30% 34% 18% 3%
36 KURAEVA Vasilisa - - 2% 12% 31% 38% 17%
37 HUCHWAJDA Pola - 1% 8% 23% 35% 26% 8%
38 BAINS Nandini 6% 26% 37% 23% 7% 1% -
39 BUSH Bethany 1% 6% 20% 32% 28% 12% 2%
40 MUNGUIA Mila 4% 19% 34% 29% 12% 2% -
41 MCGRAW Sadie 3% 14% 31% 32% 16% 4% -
42 BUHAY Kirsten M. - 2% 11% 29% 36% 19% 3%
43 MEDVINSKY Alexandra 2% 12% 30% 34% 18% 4%
44 MACKAY Katherine 19% 45% 28% 7% 1% -
45 GOLOVITSER Maya - 1% 6% 21% 37% 28% 8%
46 HORVITZ Jacqueline 1% 10% 31% 35% 18% 4% -
47 PADANILAM Lily - 4% 20% 36% 28% 10% 1%
48 KNOBEL Sophia - 3% 16% 36% 32% 12% 2%
49 WANG Gloria Ruoyan - 2% 9% 24% 34% 24% 7%
50 DHAR Layla - 2% 14% 32% 33% 16% 3%
51 MERCHANT Aishwarya 1% 6% 19% 33% 28% 11% 2%
52 TA-ZHOU Emma 1% 8% 23% 33% 25% 9% 1%
53 RAMIREZ Mirka A. - 2% 9% 24% 35% 24% 7%
54 LOURENCO Alexandra 16% 36% 31% 13% 3% - -
55 HAMMERSTROM Aria 5% 23% 37% 26% 8% 1%
56 XIE Nora 1% 11% 34% 36% 15% 2%
57 WANG JiaQi 8% 30% 36% 20% 5% -
58 XU Emily T. - 4% 15% 30% 31% 16% 3%
59 LEE Alyson 7% 26% 35% 23% 8% 1% -
60 ZHENG Valentina - 1% 6% 23% 38% 27% 6%
61 WU Yuwei 1% 9% 25% 33% 23% 8% 1%
62 HALPERIN Elizabeth H. 3% 18% 35% 30% 12% 2%
63 HUANG Neila 2% 14% 37% 33% 12% 2% -
64 UEMOTO Lynn 7% 27% 36% 22% 6% 1% -
65 SAYSON Andrea - 1% 8% 24% 36% 25% 6%
66 KALISHMAN Anna 20% 44% 28% 7% 1% - -
67 KANDADAI Lara 1% 8% 25% 35% 24% 7% 1%
68 BARROSO Isabela 11% 31% 34% 18% 5% 1% -
69 GOMERMAN Sophia - 3% 16% 35% 33% 12%
70 WALLER London 6% 24% 36% 25% 8% 1%
71 HENRY Soraya S. - 3% 13% 29% 33% 18% 4%
72 PROBASCO Leila 5% 20% 33% 27% 12% 2% -
72 LATYSHAVA Stephanie 3% 15% 31% 32% 16% 4% -
74 NEUMAN Ella 5% 22% 34% 26% 10% 2% -
75 MONTORIO Lily M. - 6% 25% 36% 24% 7% 1%
75 FENG Alicia G. 1% 11% 28% 35% 20% 5% -
77 DEHON Inès 1% 5% 19% 32% 29% 13% 2%
78 CROOKS Riley 2% 12% 29% 33% 19% 5% -
79 NADKARNI Marisa 4% 19% 34% 28% 12% 2% -
80 KRIVOSHEEV Alexandra 1% 8% 25% 36% 24% 6%
81 STONE Coral 1% 8% 23% 34% 25% 8% 1%
82 BERNARD Kathryn - 2% 11% 28% 35% 20% 4%
83 KRASOWITZ Lucy 6% 23% 34% 25% 10% 2% -
84 SHELLEY Scarlett 23% 47% 24% 5% - - -
85 JEFFORDS Sophia 2% 12% 31% 33% 17% 4% -
86 MERMEGAS Olivia 3% 31% 40% 21% 5% 1% -
87 SYED Azra 39% 41% 16% 3% - - -
88 BERRIOS Catalina 13% 34% 33% 15% 4% - -
89 LOPEZ-ONA Mia 3% 19% 36% 30% 11% 2%
90 ONG Lauren 31% 42% 22% 5% 1% -
91 KWON Ava 12% 34% 35% 16% 3% -
92 NAYAK Esha 3% 17% 34% 31% 14% 2%
93 HU Anna 1% 8% 25% 36% 24% 6%
93 ZAWADA Milena 37% 41% 18% 4% - -
95 HITOMI Nadya 1% 9% 31% 38% 18% 3%
96 KIM Karen 28% 41% 23% 6% 1% -
97 GENTILE Vittoria 17% 37% 31% 13% 3% - -
98 ZHANG Ashley 18% 36% 30% 13% 3% - -
99 ELLIS-FURLONG Ava 8% 29% 36% 21% 5% 1% -
100 NAYAK Antara 23% 39% 27% 9% 2% - -
101 XU Demi 34% 44% 19% 4% - - -
102 ZHANG Jiaqing 17% 37% 31% 12% 2% - -
103 SEVASTOPULO Sahra 37% 44% 16% 3% - -
104 LAGOON Miriam 11% 31% 34% 19% 5% 1% -
105 POLSTON Ella 15% 35% 32% 14% 3% - -
106 BANGALORE Shriya 38% 45% 15% 2% - - -
107 KIRBY Skye 83% 16% 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.