AFM Sunnyvale - Sunnyvale, 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 | DING Max | - | 3% | 16% | 37% | 33% | 10% | |
2 | RAU Shogun | 7% | 32% | 39% | 18% | 3% | ||
3 | TUBALTSEV Evan | - | - | 3% | 17% | 43% | 37% | |
3 | LIU Daniel | 4% | 20% | 37% | 30% | 9% | ||
5 | HUA Nolan | - | 2% | 13% | 32% | 36% | 15% | 1% |
6 | WONG Aaron | - | 4% | 19% | 41% | 34% | 2% | |
7 | LIU Xuyao | 6% | 28% | 41% | 21% | 4% | ||
8 | GARMASH Vladik | - | 3% | 15% | 30% | 31% | 16% | 3% |
9 | LUO Alvin (Yueyang) Y. | 2% | 13% | 29% | 32% | 19% | 5% | 1% |
10 | KHUSHRAJ Rohan | - | 5% | 18% | 34% | 30% | 11% | 1% |
11 | PANUGANTI Neal | 10% | 35% | 39% | 15% | 1% | ||
12 | BOROVIKOV Sasha | - | 6% | 25% | 44% | 26% | ||
13 | ZHANG William | 13% | 35% | 35% | 15% | 2% | ||
14 | LIN Daniel | 15% | 37% | 33% | 13% | 2% | - | |
15 | MANA Sameer | 1% | 10% | 32% | 40% | 16% | ||
16 | LI Nathan | 5% | 20% | 33% | 27% | 12% | 2% | - |
17 | KROTZ Nicolas | - | - | - | 5% | 31% | 63% | |
18 | YU Brandon | 11% | 37% | 37% | 14% | 2% | - | |
19 | CHAN Nathan | 4% | 17% | 31% | 29% | 15% | 4% | - |
20 | SONG Joshua | 4% | 22% | 38% | 27% | 8% | 1% | |
21 | MA Weichu | 4% | 21% | 37% | 29% | 8% | ||
22 | YU Haoyun Timothy | 2% | 13% | 35% | 37% | 13% | 1% | |
23 | LO Esra | 38% | 42% | 17% | 3% | - | ||
24 | JU Shang | 8% | 29% | 38% | 21% | 5% | - | |
25 | LI Ethan JW | < 1% | 13% | 40% | 36% | 10% | ||
26 | SAMOYLOV Daniel | - | 7% | 29% | 40% | 21% | 3% | |
27 | YE Andrew | 25% | 46% | 24% | 5% | - | - | |
29 | LOUIE Aaron | 19% | 39% | 30% | 11% | 2% | - | |
31 | JI Steven | < 1% | 4% | 19% | 35% | 30% | 11% | 1% |
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.