Parsippany, NJ - Parsippany, NJ, 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 | KATAYAMA Kevin | - | - | - | 3% | 18% | 43% | 35% |
2 | MEMANI Apurva | - | 2% | 12% | 29% | 35% | 19% | 3% |
3 | ADLER Ian B. | - | 2% | 12% | 30% | 35% | 18% | 3% |
3 | SINGH Dayaal | - | 4% | 21% | 37% | 28% | 9% | 1% |
5 | REGE Advaith | - | 6% | 29% | 40% | 21% | 3% | |
6 | FLANAGAN James | - | 2% | 12% | 27% | 33% | 20% | 5% |
7 | LAURICELLA Douglas | 1% | 8% | 23% | 33% | 24% | 9% | 1% |
8 | BOBROW Logan | - | 2% | 10% | 28% | 37% | 20% | 4% |
9 | HO Ryan J. | 1% | 6% | 21% | 33% | 27% | 11% | 2% |
10 | KIM Tei D. | - | - | 1% | 5% | 23% | 43% | 29% |
11 | WU Wesley E. | - | 4% | 16% | 31% | 30% | 15% | 3% |
12 | LIN Richard W. | - | 1% | 6% | 24% | 42% | 28% | |
13 | PETERS Nathan M. | - | 11% | 32% | 36% | 18% | 3% | |
14 | HERGERT Benito | - | 3% | 19% | 37% | 30% | 10% | 1% |
15 | MANGE Nathan | - | 4% | 20% | 38% | 30% | 7% | |
16 | DESOLA Damian C. | - | 2% | 11% | 28% | 35% | 20% | 4% |
17 | BEAR Myles A. | 2% | 11% | 28% | 33% | 20% | 6% | 1% |
18 | STURGIS Zachary C. | 5% | 28% | 40% | 22% | 5% | - | |
19 | CAI Oliver K. | 2% | 13% | 29% | 31% | 18% | 5% | 1% |
20 | ANCONA Christopher | - | 2% | 10% | 25% | 33% | 23% | 6% |
21 | BOOTSMA Shawn-Ryan V. | 16% | 36% | 32% | 14% | 3% | - | - |
22 | FRITZ Ayden R. | 2% | 13% | 30% | 34% | 18% | 4% | - |
23 | DESOLA Aidan J. | 10% | 33% | 35% | 17% | 4% | - | - |
24 | MONTALBINE Aidan | 67% | 29% | 4% | - | - | - | - |
25 | DEGEORGES Kip L. | 64% | 31% | 5% | - | - | - | |
26 | MONTALVO-ZOTTER Gabriel M. | 7% | 40% | 37% | 14% | 2% | - | - |
27 | BOOTSMA Shane-Anson | 28% | 40% | 23% | 7% | 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.