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Probability density of pool victories

Birth Year

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Explore the pool victory probability density 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	MURRAY-GRAMLICH Robert	-	-	5%	28%	49%	18%
2	BLONDEL Leo O.	-	3%	18%	43%	36%
3	KAUNITZ Emmanuel	-	13%	63%	24%
3	TSAI Caleb	2%	14%	36%	37%	11%
5	HOPEL Seth	-	7%	27%	40%	23%	4%
6	VIJAYAKUMAR Diya	1%	9%	26%	35%	23%	6%
7	YOON Joshua Seokhyun	-	-	2%	14%	42%	41%
8	YAN James	-	4%	19%	36%	31%	9%
9	ROTHMAN Matthew	-	5%	36%	59%
10	TSAI Steven	-	5%	24%	43%	24%	4%
11	KARNAVAS William	9%	31%	39%	19%	3%
12	OWENS Elise	10%	40%	38%	11%	1%	-
13	THU John	25%	44%	25%	5%	-	-
14	AMOROSO John	13%	62%	23%	2%
15	KAPLAN Abe	16%	40%	33%	10%	1%
16	RUSSELL James	16%	41%	32%	10%	1%	-
17	ZHANG Vicky	-	5%	22%	38%	28%	7%
18	MENECHELLA Matthew	19%	41%	30%	9%	1%
19	LAWRENCE Addison	80%	19%	-	-
20	FALK Zoe	19%	38%	30%	11%	2%	-
21	FALK Abigail	11%	38%	39%	11%	1%	-

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.