AFM Super Regional SYC/RJCC/ROC Div1A/Vet

Y-10 Men's Saber

Sunday, October 27, 2024 at 8:00 AM

Santa Clara Convention Center - Santa Clara, CA, USA

Probability density of pool victories

Reset

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 LAI Mars - - 4% 22% 45% 28%
2 JI Derek - - 5% 28% 51% 15%
3 QI Zach - 4% 19% 36% 30% 9%
3 DESAI Arthav - 5% 22% 40% 28% 5%
5 FU BRANDEN - - - 3% 16% 41% 40%
6 YE Aaron - - - 7% 36% 57%
7 DUFF Michael - 4% 18% 35% 31% 10%
8 TABANCAY Cole - - 5% 21% 42% 32%
9 CHUNG Evan - 4% 19% 36% 31% 10%
10 PARK Jayden - 1% 5% 20% 37% 30% 7%
11 WANG Henrik - - 4% 21% 47% 29%
12 YUAN Alan - 2% 15% 36% 35% 12%
13 CHEN Donovan 2% 19% 39% 30% 10% 1%
14 WANG James - 1% 7% 27% 42% 23%
15 ZHANG Hanzhi 4% 20% 38% 28% 9% 1%
16 LEE Junhu - 6% 22% 38% 27% 6%
17 YANG Aegon - 5% 24% 41% 25% 5% -
18 FAN Yuen 3% 16% 34% 32% 13% 2%
19 CAO Osmond 1% 9% 31% 41% 16% 2%
20 LOVELL Jackson 15% 39% 33% 12% 2% -
21 ZHENG Matt 2% 21% 40% 29% 8% -
22 HUGHES-WILLIAMS Atticus A 13% 38% 34% 13% 2% -
23 LIN Rongcheng Noah 37% 43% 17% 3% - -
24 WU August - 5% 22% 38% 28% 7%
25 LEE Nathan 29% 46% 21% 4% - -
26 QIAO Jason 1% 9% 29% 37% 20% 4%
27 YUNG Nathan - 2% 14% 34% 35% 13% 2%
28 LEE Caleb 11% 35% 35% 16% 3% - -
29 GALANG Aiden - 2% 12% 33% 38% 15%
30 JIAO Lawrence 3% 18% 41% 30% 8% 1%
31 MEDIRATTA Remy < 1% 7% 26% 39% 23% 5%
32 SETH Suraj 24% 42% 26% 7% 1% -
33 LI Linus 1% 10% 39% 39% 11% 1%
34 GUO Aiden 2% 23% 44% 26% 5% -
35 LEI Isaac 3% 17% 36% 30% 11% 2% -
36 KIM Connor 50% 39% 10% 1% - -
37 CHEN Brian - 5% 25% 41% 25% 4%
38 WU Aiden 2% 16% 39% 34% 8% 1%
39 LEE Aidan 31% 48% 18% 2% - -
40 YANG Kaleb 65% 30% 4% - - -
41 CHENG Daniel 18% 47% 28% 6% - -
42 SEVERT David 24% 41% 26% 8% 1% -
43 WU Vincent 25% 41% 26% 7% 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.