AFM Super Regional SYC/RJCC/ROC Div1A/Vet

Y-10 Women's Épée

Friday, October 6, 2023 at 11:00 AM

Santa Clara Convention Center - Santa Clara, CA, 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 FU Shannon - - 2% 11% 31% 38% 17%
2 WANG Nicole - - 5% 21% 38% 28% 7%
3 VIJAY Vaishnavi - 3% 13% 32% 36% 16%
3 CHEN Stephanie - 3% 14% 32% 35% 16% 2%
5 WU Jessica - - - - 5% 31% 63%
6 XIONG Alice 1% 5% 18% 32% 29% 13% 2%
7 DU Chloe - 3% 13% 30% 34% 18% 3%
8 ZHAO Ellie 1% 7% 24% 36% 25% 6%
9 SUN Milly 1% 8% 25% 35% 24% 7% < 1%
10 XU Chenyu - - 1% 6% 23% 41% 28%
11 CAYETANO Audrey - - 1% 7% 23% 40% 29%
12 YU Chloe - - 3% 14% 32% 35% 15%
13 KOU Cynthia 2% 14% 32% 34% 16% 3%
14 LI Ariel 3% 16% 34% 32% 13% 2% -
15 LI Anna - - 5% 21% 37% 29% 8%
16 WANG Yvonne - 1% 8% 27% 39% 23% 3%
17 DU Chelsea - 3% 13% 28% 32% 19% 4%
18 LI Allison 5% 25% 36% 24% 8% 1% -
19 DAI Mina (Chenxi) 2% 13% 30% 33% 18% 4% -
20 MIAO Anthea 1% 7% 23% 34% 25% 9% 1%
21 MENDIRATTA Olivia 4% 19% 32% 28% 13% 3% -
22 YU Jiaming 1% 6% 22% 34% 26% 9% 1%
23 YANG Emma 24% 43% 26% 7% 1% - -
24 LIU Emma 1% 7% 24% 37% 26% 7%
25 ARNOLD Evangeline - 2% 12% 28% 34% 19% 4%
26 MUKKU Emily 2% 16% 36% 32% 12% 1% -
26 QIAO Lori-Ann - 1% 9% 28% 37% 21% 4%
28 XU Aasta 23% 44% 26% 6% 1% - -
29 CHONG Emma 9% 33% 36% 18% 4% - -
30 WANG Olivia 25% 41% 26% 7% 1% - -
31 XIE ANDREA 9% 31% 35% 19% 5% -
32 SRIRAM Jhaanvi 6% 24% 35% 25% 9% 2% -
33 YANG Nina 3% 16% 31% 30% 15% 4% -
34 REN Harper - 3% 15% 32% 32% 15% 2%
35 YU Elise 4% 19% 33% 28% 12% 3% -
36 LARRENAGA Emilia - 7% 31% 42% 17% 2% -
37 HE Elsa 5% 25% 40% 23% 6% 1% -
38 LEE Rebecca < 1% 7% 24% 36% 25% 7% 1%
39 WANG Phoebe 34% 41% 20% 5% 1% - -
40 JOE Everly 24% 41% 26% 8% 1% -
41 GROTH Lillian 18% 36% 30% 13% 3% - -

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.