Ben Gutenberg Memorial SYC - RJCC

Y-14 Women's Saber

Saturday, October 18, 2025 at 8:00 AM

Golisano Training Center at Nazareth University - Rochester, NY, 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 ZHAO Selena 100% 100% 100% 97% 79% 39% 7%
2 SUN Yi 100% 100% 100% 100% 99% 91% 51%
3 HUANG Pierra 100% 100% 100% 97% 80% 37%
3 OSMINKINA-JONES Kai 100% 100% 100% 100% 99% 89% 51%
5 LI Tira 100% 100% 99% 94% 72% 35% 6%
6 CAFAGNA Sofia 100% 99% 92% 69% 35% 9% 1%
7 PARK Gabriella 100% 99% 90% 64% 29% 6% -
8 NIU Jessica 100% 100% 100% 100% 98% 85% 40%
9 ZHANG Ashley 100% 100% 100% 99% 93% 72% 31%
10 LIU Chelsea 100% 100% 99% 91% 67% 31% 6%
11 NEMORIN Rei 100% 100% 100% 99% 94% 67% 19%
12 HEATH Isabella 100% 100% 100% 98% 88% 59% 20%
13 CASTELO Soleil 100% 100% 100% 100% 99% 93% 60%
13 FUNG Iris 100% 100% 100% 100% 98% 87% 49%
15 LEE Kaitlin 100% 100% 100% 96% 77% 38% 6%
16 MACHIRAJU Ishita 100% 99% 89% 62% 26% 5% -
17 PARK Haylie 100% 100% 100% 99% 89% 59% 18%
18 CHOWDHERY Myra 100% 100% 100% 100% 96% 75% 27%
19 MEYERSON Michelle 100% 100% 100% 100% 99% 87% 48%
20 MOTOVA Masha 100% 99% 89% 56% 18% 2%
21 CHAU Zoey 100% 100% 99% 91% 64% 25% 3%
22 REN Katherine 100% 100% 100% 100% 95% 67%
23 PEREIRA Izumi 100% 100% 100% 96% 81% 46% 10%
24 ZHANG Nikki 100% 91% 63% 27% 6% 1% -
25 XU Elaine 100% 100% 100% 100% 97% 83% 43%
26 KATZ Emma 100% 100% 98% 88% 61% 24% 3%
27 TA-ZHOU Sophia 100% 100% 100% 96% 80% 43% 7%
28 WANG MONA 100% 100% 97% 82% 47% 10% -
29 LI Tiffany 100% 100% 99% 90% 63% 26% 4%
30 CANARAN Daphne M. 100% 96% 72% 33% 8% 1% -
31 YANG Selina 100% 100% 96% 80% 48% 17% 2%
32 LEE Elise 100% 98% 84% 52% 19% 3% -
33 LAU Angela 100% 99% 90% 63% 28% 6% < 1%
34 HU Alicia 100% 100% 98% 87% 54% 14%
35 ZONG Eliane 100% 100% 99% 92% 68% 29% 5%
36 AN Jamie 100% 97% 80% 46% 16% 3% -
37 YIN Xizi 100% 97% 80% 46% 15% 2% -
38 KABILING Anika Von Marie 100% 99% 89% 57% 19% 1%
39 LIU Stephanie 100% 99% 90% 61% 22% 2%
40 SAGER Bianca 100% 80% 41% 12% 2% - -
40 WANG Selina 100% 93% 68% 30% 7% 1% -
42 SHTEYMAN Simone 100% 95% 66% 27% 5% - -
43 ALMEDA Galina 100% 98% 87% 59% 26% 6% 1%
44 DELELLIS-TALOMIE Rae 100% 99% 90% 63% 27% 6% -
45 WU Harper 100% 97% 81% 47% 17% 3% -
46 DOROBANTU Emma 100% 99% 88% 55% 19% 2% -
47 LIU Teresa 100% 100% 94% 71% 32% 6% -
48 CHEN Chloe 100% 93% 64% 26% 5% -
49 PHILLIPPY Hannah 100% 88% 53% 18% 3% -
50 HU Sophia 100% 93% 66% 29% 7% 1% -
50 HU Emily 100% 99% 93% 67% 28% 6% -
52 QIU Emily 100% 100% 100% 95% 76% 39% 8%
53 CHAM Morgan 100% 92% 67% 32% 9% 1% -
54 ZHANG Shihan 100% 98% 85% 50% 16% 2% -
55 BAO Amelia 100% 98% 87% 56% 21% 4% -
55 KWAN Kelly 100% 79% 36% 8% 1% - -
55 JEON Kristen 100% 59% 17% 2% - -
58 GISCHLER Mila 100% 81% 41% 10% 1% - -
59 ZHANG Audrey 100% 99% 87% 56% 19% 2%
60 ARGUELLO Camilla 100% 99% 89% 58% 21% 3% -
61 TSIPORUKHA Arie 100% 99% 92% 66% 26% 5% -
62 AN Jasmine 100% 89% 50% 15% 2% -
63 VARAH Alaia 100% 99% 90% 61% 25% 5% -
64 FREY Elise 100% 94% 69% 32% 8% 1% -
65 MEINING CHLOE 100% 93% 68% 31% 7% 1% -
66 KONDE Anika 100% 96% 76% 42% 13% 2% -
67 GARCIA RODRIGUEZ Victoria Maria 100% 87% 45% 12% 2% - -
68 BINSHTOK Ariana 100% 76% 34% 8% 1% -
69 KIM Jodie 100% 95% 74% 38% 11% 1% -
70 KRITZ Sofia 100% 81% 42% 12% 2% - -
71 WANG Emily 100% 98% 87% 58% 25% 5% -
72 LEE Jiyoung 100% 91% 61% 26% 6% 1% -
73 PURITZ Morgan 100% 55% 14% 2% - - -
74 ARANGO Ivanna 100% 62% 21% 4% - - -
75 DAYNO Riley 100% 99% 89% 58% 21% 4% -
76 YAO Elizabeth 100% 86% 48% 15% 2% - -
77 WANG Keira 100% 95% 72% 34% 7% - -
77 ATA Emily 100% 83% 46% 15% 3% - -
79 LI Agnes 100% 99% 88% 59% 26% 6% 1%
80 HAROYAN Lilit 100% 81% 43% 14% 2% - -
82 SADHU Mira 100% 40% 7% 1% - - -
83 SHELDON Adriana 100% 98% 78% 36% 9% 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.