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Probability density of pool victories

Birth Year

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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	MORRIS Shaina	100%	100%	99%	83%	38%
2	TSANG JAFFE Avi	100%	100%	93%	59%	14%
3	MONTOYA Amy	100%	99%	92%	65%	23%
3	HEPLER Sarah	100%	96%	71%	31%	6%
5	CHANG Celine	100%	100%	97%	76%	29%	4%
6	MADRID Betsy	100%	86%	47%	13%	1%
7	RYAN Minhuey	100%	100%	93%	65%	22%
8	OBENCHAIN Janel	100%	98%	78%	38%	8%
9	DING Grace	100%	94%	65%	24%	3%
10	BLOOMER Suzanne	100%	100%	100%	99%	90%	50%
11	BHATT Anisha	100%	41%	8%	1%	-	-
13	FERRER Alison	100%	100%	94%	70%	27%	3%
14	CHIEM Karen	100%	99%	88%	54%	14%
15	LYNCH Kristin	100%	99%	92%	62%	20%
16	RADICH Lori	100%	57%	16%	2%	-
17	LUO Xiao Ran	100%	97%	74%	34%	6%
19	STANICA Teodora	100%	99%	88%	55%	16%	1%
20	FRANEK Lisa	100%	95%	57%	13%	1%
21	MEWES Katie	100%	65%	20%	3%	-
22	SIMARD Sherrol	100%	25%	2%	-	-
23	RYAN Jessica	100%	95%	47%	10%	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.