2017 Charlottesville Men's Pro Challenger – Doubles

Doubles
	2017 Charlottesville Men's Pro Challenger
Champions	Denis Kudla; Danny Thomas
Runners-up	Jarryd Chaplin; Miķelis Lībietis
Final score	6–7(4–7), 1–4 ret.

Brian Baker and Sam Groth were the defending champions but chose not to defend their title.

Denis Kudla and Danny Thomas won the title after Jarryd Chaplin and Miķelis Lībietis retired leading 7–6^(7–4), 4–1 in the final.

Seeds

Leander Paes / Purav Raja (Quarterfinals)
Luke Bambridge / David O'Hare (First round)
Ruan Roelofse / Joe Salisbury (Quarterfinals)
Jarryd Chaplin / Miķelis Lībietis (Final, retired)

Draw

Key

First Round					Quarterfinals					Semifinals					Final

1	L Paes P Raja	6	6
	C Eubanks M McDonald	4	0		1	L Paes P Raja	6²	2
	LD Martínez B Sant'Anna	4	7	[5]	WC	D Kudla D Thomas	7⁷	6
WC	D Kudla D Thomas	6	5	[10]						WC	D Kudla D Thomas	7	6
3	R Roelofse J Salisbury	4	6	[10]						WC	T-S Kwiatkowski A Ritschard	5	1
Q	F Horanský N Scholtz	6	4	[6]	3	R Roelofse J Salisbury	3	6	[6]
WC	T-S Kwiatkowski A Ritschard	7	7		WC	T-S Kwiatkowski A Ritschard	6	3	[10]
WC	Alexander Centenari JA Ore	5	5												WC	D Kudla D Thomas	6⁴	1
	L Broady B Fratangelo	4	5												4	J Chaplin M Lībietis	7⁷	4^r
	M Giron T Smyczek	6	7			M Giron T Smyczek	3	4
	C Norrie T Paul	4	6⁸		4	J Chaplin M Lībietis	6	6
4	Jarryd Chaplin M Lībietis	6	7¹⁰							4	J Chaplin M Lībietis	6	6³	[12]
	N Lammons A Lawson	6	6								N Lammons A Lawson	3	7⁷	[10]
	F Peliwo B Schnur	4	2			N Lammons A Lawson	6	1	[10]
	H Hach Verdugo D Novikov	7⁷	7⁷			H Hach Verdugo D Novikov	4	6	[4]
2	L Bambridge D O'Hare	6³	6⁴

gollark: So we could replace most accountants if things had better APIs?

gollark: The obvious solution is to just stop using paper here.

gollark: Humans can process language without much intellectual effort too after a long training phase, but it takes large amounts of expensive (cheaper than humans by a lot actually) GPU power and training data to do those things.

gollark: Stuff like repetitive tasks, adding large columns of numbers, etc, are hard for humans (we get bored and can't do maths very efficiently), but computers can happily do them easily.

gollark: You could probably replace a significant amount of office workers with some SQL queries and possibly language model things.

References

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