Capitol Clash SYC & RCC with Non-Regional Veteran and Y8

Y-10 Women's Saber

Saturday, February 2, 2019 at 10:00 AM

National Harbor, MD - National Harbor, MD, 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 SO Catelyn - - 2% 10% 30% 39% 18%
2 CHEN Kevy 2% 15% 36% 33% 12% 1%
3 DIECK Miranda P. 1% 10% 27% 35% 21% 5% < 1%
3 KRIVOSHEEV Alexandra - - 3% 13% 31% 37% 17%
5 HUANG Rachael - - 4% 18% 36% 32% 10%
6 SCHAIBLE Sofia L. - 6% 24% 36% 25% 8% 1%
7 TSUI Natalie - 2% 13% 34% 37% 14%
8 WEI JoyAnn 13% 35% 34% 15% 3% -
9 JEONG Katie 1% 7% 24% 37% 24% 6% 1%
10 YOUNG Audrey 1% 13% 34% 34% 15% 2%
11 LEMUS-IAKOVIDOU ALEXANDRA 1% 7% 24% 38% 25% 5%
12 KALINICHENKO Yekaterina - 1% 9% 28% 40% 21%
13 XIAO julie 4% 20% 35% 28% 11% 2% -
14 CHAN Jolene - 3% 14% 30% 33% 17% 3%
15 WU Yuwei - 4% 16% 33% 31% 14% 2%
16 MCAFEE Jada 3% 19% 38% 30% 9% 1%
17 BERMAN greta - 2% 12% 34% 38% 14%
18 WUNNAVA Ellora 20% 39% 29% 10% 2% -
19 YOUNG Charlotte G. - - - 2% 12% 39% 47%
20 HAMMERSTROM Aria - - 4% 21% 45% 30%
21 DHAR Layla - 4% 23% 42% 27% 5%
22 FOWLER Amaia 6% 25% 36% 24% 8% 1% -
23 CHIARELLI Valentina 1% 8% 26% 37% 23% 6% -
24 POLSTON Ella - - 2% 12% 31% 38% 17%
25 BUSH Divina 3% 18% 35% 29% 12% 2% -
26 SUSPITSYNA Alexandra (Sasha) 11% 32% 36% 17% 4% -
27 BLAKE Anna - 2% 17% 44% 33% 4%
28 VIEIRA DA MOTTA MOLLICA Camila 1% 6% 21% 35% 27% 9% 1%
30 LOO Kaitlyn 1% 10% 29% 36% 20% 4%
31 BUSH Bethany - 1% 7% 26% 39% 23% 4%
32 KONG Daniela 35% 43% 18% 4% - - -
33 CHO Audrey 14% 41% 36% 8% 1% -
34 BERNARD Kathryn 64% 30% 6% - - -
35 HUANG Neila 1% 10% 27% 34% 21% 6% 1%
36 KIRKELL Mia 8% 42% 38% 11% 1% -
37 DEHON Inès < 1% 6% 23% 37% 27% 7%
38 BIT Isabel 36% 42% 18% 4% - - -
39 FAN Alexandria 30% 42% 22% 6% 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.