The future of US Fencing is at stake!

For transparency, fairness, and athlete support, VOTE NOW for:
(1) Maria Panyi, (2) Andrey Geva, (3) Igor Chirashnya, and (4) Sue Moheb.

Take Action

Freehold Fencing's Div2 and E & Under Epee

E & Under Mixed Épée

Sunday, November 29, 2020 at 9:00 AM

Freehold Fencing Academy - Freehold, NJ, USA

Probability density of pool victories

Birth Year

Reset

Explore the probability of achieving at least a certain number of victories in the pool for each fencer, with their actual victories highlighted in a box. Learn more.

#	Name	Number of victories
#	Name	0	1	2	3	4	5
1	NOVOJILOV Alexei	100%	100%	95%	70%	23%
2	DAMRATOSKI Anna	100%	98%	85%	54%	20%	3%
3	MARTINEZ Joshua	100%	95%	70%	30%	5%
3	SCYPINSKI Andrew	100%	87%	49%	13%	1%
5	ANDERSON Riley	100%	100%	96%	79%	41%	8%
6	WOLFSOHN Peleg	100%	100%	95%	75%	36%	7%
7	WEN Ethan	100%	99%	85%	49%	15%	2%
8	LESSER Jeremy	100%	99%	88%	56%	21%	3%
9	CHEN Isabella	100%	84%	46%	13%	1%
10	WELLS Emily	100%	65%	19%	3%	-	-
11	WINSLOW Michael	100%	96%	75%	38%	9%

Explanation

The heatmap in this table provides a visual representation of the victory probability distribution for each fencer in their respective pools:

Each cell in a fencer's row corresponds to a specific number of victories, starting from the left with no victories and increasing to the right, indicating victories in all bouts.
The shading of each cell represents the probability of that particular victory outcome for the fencer. Darker shades indicate higher probabilities, suggesting that the outcome is more likely based on past performances. On the other hand, lighter shades point towards less probable outcomes.
The boxed number in a cell represents the actual number of victories the fencer achieved in the pool, making it easy to compare predicted probabilities with actual outcomes at a glance.
By examining the gradient from lighter to darker cells, you can get an intuitive sense of where a fencer's victories are more or less expected based on their historical performance.

This heatmap visualization offers an immediate understanding of each fencer's expected performance compared to their actual results.