2017 Tallahassee Tennis Challenger – Singles

Singles
	2017 Tallahassee Tennis Challenger
Champion	Blaž Rola
Runner-up	Ramkumar Ramanathan
Final score	6–2, 6–7(6–8), 7–5

Quentin Halys was the defending champion but chose not to defend his title.

Blaž Rola won the title after defeating Ramkumar Ramanathan 6–2, 6–7^(6–8), 7–5 in the final.

Seeds

Frances Tiafoe (Withdrew)
Darian King (First round)
Henri Laaksonen (Second round)
Guido Andreozzi (Quarterfinals, retired)
Peter Polansky (First round)
Leonardo Mayer (Second round)
Stefan Kozlov (Quarterfinals)
Máximo González (First round)

Draw

Key

Finals

Semifinals					Final


Q	Andrea Arnaboldi	2	7	4

	Ramkumar Ramanathan	6	5	6
						Ramkumar Ramanathan	2	7⁸	5

					Q	Blaž Rola	6	6⁶	7
	Mitchell Krueger	3	7	4

Q	Blaž Rola	6	5	6

Top half

First Round					Second Round					Quarterfinals					Semifinals

LL	S Bangoura	6	1	2
WC	C Harrison	3	6	6	WC	C Harrison	4	3
	J Hernández-Fernández	3	6	3	Q	A Arnaboldi	6	6
Q	A Arnaboldi	6	1	6						Q	A Arnaboldi	6	7⁸
	A Ghem	1	1							WC	B Klahn	2	6⁶
Q	D Köpfer	6	6		Q	D Köpfer	5	1
WC	B Klahn	7¹⁰	6⁵	6	WC	B Klahn	7	6
8	M González	6⁸	7⁷	4											Q	A Arnaboldi	2	7	4
4	G Andreozzi	6	6													R Ramanathan	6	5	6
LL	DE Galán	4	4		4	G Andreozzi	0	6	4
	D Shapovalov	5	6³			V Millot	6	4	0^r
	V Millot	7	7⁷							4	G Andreozzi	6	5	1^r
	J McGee	6	6								R Ramanathan	4	7	1
	R Quiroz	4	4			J McGee	6	3	2
	R Ramanathan	6	7			R Ramanathan	3	6	6
5	P Polansky	1	5

Bottom half

First Round					Second Round					Quarterfinals				Semifinals

7	S Kozlov	6	4	6
	F Coria	3	6	4	7	S Kozlov	2	6	6
	J Melzer	7	6			J Melzer	6	3	4
PR	A González	5	2							7	S Kozlov	4	5
	M Krueger	3	7	6							M Krueger	6	7
	C O'Connell	6	5	2		M Krueger	6	6
	T Sandgren	5	4		3	H Laaksonen	3	2
3	H Laaksonen	7	6												M Krueger	3	7	4
6	L Mayer	6	6											Q	B Rola	6	5	6
Q	J Statham	4	2		6	L Mayer	2	4
Q	B Rola	6	6		Q	B Rola	6	6
WC	M Giron	2	4							Q	B Rola	6	6
	D Novikov	6	6²	6							D Novikov	1	2
	M McDonald	3	7⁷	3		D Novikov	6	7
	J-P Smith	6	6			J-P Smith	3	5
2	D King	3	4

gollark: I don't really agree with Chinese room arguments.

gollark: Photonic ML hardware is apparently beginning to exist and is very efficient, so that could help in a few years.

gollark: There is apparently work on accursed optics things for the displays, and batteries... are harder, but maybe minimising power use with more efficient hardware can be done.

gollark: Enough minor conveniences stacked together gives a useful product. And you can fit smartphone SoCs into slightly bulky glasses - there are already AR devkits doing this. The main limitation is that the displays aren't very good and it is hard to fit sufficient batteries.

gollark: Also, you could sort of gain extra senses of some possible value by mapping things like LIDAR output (AR glasses will probably have something like that for object recognition) and the local wireless environment onto the display.

References

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