San Jose, CA - San Jose, CA, USA
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 | COELHO Cristiano P. | - | - | - | 1% | 9% | 41% | 50% |
2 | ZHANG Jiening G. | - | 7% | 27% | 38% | 22% | 5% | |
3 | CHIRASHNYA Daniel | - | - | 1% | 11% | 38% | 50% | |
3 | KANG Anthony Jaegu | - | - | 2% | 16% | 41% | 34% | 6% |
5 | FUKUDA Diego | - | 5% | 20% | 36% | 30% | 9% | |
6 | CORTRIGHT Skipper (Matthew) | - | - | 6% | 26% | 44% | 24% | |
7 | SOTO-ULEV Aden A. | 9% | 30% | 37% | 19% | 4% | - | |
8 | WU Lucas | - | 3% | 13% | 32% | 36% | 15% | |
9 | CHENG Jonathan | 25% | 47% | 25% | 3% | < 1% | - | |
10 | NG Micah | 1% | 8% | 26% | 38% | 23% | 5% | - |
11 | UHLIG Cole | 5% | 20% | 34% | 28% | 12% | 2% | |
12 | SHEN Oliver | - | 4% | 26% | 42% | 24% | 4% | |
13 | CO Dylan | - | 7% | 27% | 39% | 23% | 4% | |
14 | LOFTUS Luca | 1% | 8% | 25% | 36% | 24% | 6% | |
15 | TSAY Jordan R. | 5% | 20% | 34% | 28% | 11% | 2% | |
16 | TONKOVICH Ryan | 15% | 37% | 33% | 13% | 2% | - | |
17 | LING Eddie | 2% | 13% | 31% | 34% | 17% | 3% | |
18 | FANG Jaden | 1% | 11% | 33% | 38% | 17% | 2% | |
20 | AGRAWAL Niki | - | 5% | 24% | 39% | 26% | 5% | |
20 | TALWALKAR Vedant | 2% | 13% | 30% | 34% | 18% | 4% | |
22 | MANIKTALA Suvir | 6% | 31% | 39% | 19% | 4% | - | - |
23 | LI Jonathan | 1% | 5% | 19% | 32% | 29% | 12% | 2% |
24 | QUIGLEY Pierce | 3% | 15% | 32% | 32% | 15% | 3% | |
25 | BHARADWAJ Venkatesh | 51% | 40% | 8% | 1% | - | - | |
26 | DERRICK Blake | - | 5% | 21% | 38% | 29% | 8% | |
28 | WU Alber Y. | 3% | 18% | 36% | 31% | 11% | 1% | - |
29 | SONG Matthew | 31% | 43% | 21% | 5% | - | - | - |
30 | GUPTA Avi | 2% | 15% | 33% | 33% | 14% | 2% | |
30 | CHUNG Chanwon | 8% | 32% | 37% | 19% | 4% | - |
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.