THRUST WINTER RYC/RJCC

Y-14 Women's Épée

Sunday, February 9, 2020 at 8:00 AM

Suffern, NY - Suffern, NY, USA

Probability density of pool victories

Reset

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 YU Nicole J. 100% 100% 100% 100% 100% 94% 61%
2 ZIGALO Elizabeth 100% 100% 100% 98% 87% 47%
3 NGUYEN Kira 100% 100% 99% 91% 64% 22%
3 FURMAN Maria 100% 100% 100% 97% 81% 38%
5 HICKS Grace 100% 99% 89% 63% 27% 5%
6 LEE Scarlett 100% 100% 100% 99% 88% 53% 11%
7 LIN Elaine 100% 95% 72% 38% 11% 1%
8 WONG Alexandra R. 100% 100% 96% 78% 40% 7%
9 SMOTRITSKY Mia 100% 100% 95% 76% 41% 10%
10 MUELLER Emma M. 100% 100% 95% 74% 36% 7%
11 XU Amy 100% 100% 95% 75% 40% 10%
12 GUJJA Misha 100% 100% 95% 76% 40% 9%
13 CANNING Charlotte 100% 100% 99% 88% 54% 15% 1%
14 JIA Elizabeth 100% 79% 36% 8% 1% -
15 JOSEPH mikayla 100% 100% 96% 79% 46% 13%
16 YOU Isabel B. 100% 97% 79% 46% 16% 2%
17 HOSANAGAR Inchara 100% 100% 97% 82% 45% 10%
18 TYTELL Elizabeth 100% 98% 86% 53% 17% 2%
19 TSIPORUKHA Mia 100% 91% 59% 22% 4% - -
20 CHANG Cynthia 100% 95% 68% 29% 6% 1%
21 RANDLEMAN Teresa 100% 100% 98% 86% 52% 14%
22 FENG ge 100% 91% 60% 25% 5% -
23 CHEN Vivian 100% 98% 82% 48% 15% 2%
24 KANEVSKY Samantha 100% 66% 23% 4% - - -
25 BENZAN India 100% 92% 64% 29% 7% 1%
26 WAN Runxi 100% 98% 83% 46% 13% 1%
27 DOLAN Lucy 100% 73% 30% 6% 1% -
28 KIM Raiden 100% 94% 67% 30% 7% 1%
29 PAN Iris 100% 64% 21% 3% - -
30 KORETH Maya 100% 99% 87% 56% 19% 2%
31 CHEN yue 100% 99% 94% 71% 32% 6% -
32 CHEN Carolyn 100% 88% 54% 20% 4% -
33 RAMANATHAN Eesha 100% 77% 35% 8% 1% -
34 SHU Youshan 100% 91% 58% 21% 4% -
35 SONG Angela 100% 96% 76% 41% 12% 2%
36 RATTRAY Katherine 100% 84% 43% 11% 1% -
37 BHATT Hailey 100% 96% 57% 13% 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.