2017 Pingshan Open – Men's Singles

Men's Singles
	2017 Pingshan Open
Champion	Yūichi Sugita
Runner-up	Blaž Kavčič
Final score	7–6(8–6), 6–4

Dudi Sela was the defending champion but chose not to defend his title.

Yūichi Sugita won the title after defeating Blaž Kavčič 7–6^(8–6), 6–4 in the final.

Seeds

Evgeny Donskoy (Quarterfinals)
Yūichi Sugita (Champion)
Roberto Carballés Baena (First round)
Lee Duck-hee (Quarterfinals)
Luca Vanni (Semifinals)
Blaž Kavčič (Final)
Maximilian Marterer (Quarterfinals)
Thomas Fabbiano (Quarterfinals)

Draw

Key

Finals

Semifinals					Final


6	Blaž Kavčič	6	6

5	Luca Vanni	2	2
					6	Blaž Kavčič	6⁶	4

					2	Yūichi Sugita	7⁸	6
PR	Yuki Bhambri	6	4	3

2	Yūichi Sugita	4	6	6

Top half

First Round					Second Round					Quarterfinals					Semifinals

1	E Donskoy	3	6	7⁷
	I Ivashka	6	3	6⁰	1	E Donskoy	6	6
	P Sousa	4	0			A Nedovyesov	2	4
	A Nedovyesov	6	6							1	E Donskoy	6	5	3
WC	C Wang	3	6	6						6	B Kavčič	2	7	6
	S Diez	6	4	3	WC	C Wang	1	2
	L Đere	3	1		6	B Kavčič	6	6
6	B Kavčič	6	6												6	B Kavčič	6	6
4	D-h Lee	6	5	6											5	L Vanni	2	2
	T Ito	1	7	4	4	D-h Lee	6	2	7⁷
Q	H Hurkacz	6	6		Q	H Hurkacz	3	6	6⁵
	D Wu	3	3							4	D-h Lee	1	3
WC	Zheng Wei Qiang	2	2							5	L Vanni	6	6
WC	Y Bai	6	6		WC	Y Bai	1	2
	E López-Pérez	3	2		5	L Vanni	6	6
5	L Vanni	6	6

Bottom half

First Round					Second Round					Quarterfinals					Semifinals

7	M Marterer	7⁷	6
Q	R Safiullin	6⁹	3		7	M Marterer	4	6	7⁸
Alt	Y Uchiyama	2^r				U Ignatik	6	4	6⁶
	U Ignatik	5								7	M Marterer	3	6	5
	S Napolitano	5	2							PR	Y Bhambri	6	3	7
PR	Y Bhambri	7	6		PR	Y Bhambri	6	6
	N Milojević	4	6	7		N Milojević	3	1
3	R Carballés Baena	6	4	5											PR	Y Bhambri	6	4	3
8	T Fabbiano	6	6												2	Y Sugita	4	6	6
	H Moriya	4	4		8	T Fabbiano	6	6
	A Velotti	0	1		Q	F Škugor	4	4
Q	F Škugor	6	6							8	T Fabbiano	2	4
	J Šátral	6	6							2	Y Sugita	6	6
Q	A Michon	1	2			J Šátral	7⁷	3	2
WC	Zh Zhang	2	2		2	Y Sugita	6⁵	6	6
2	Y Sugita	6	6

gollark: I think making a less efficient Python program (with intensive mathy things done via numpy etc. which use bindings to C) makes a lot more sense than having a possibly-faster C program which takes several times longer to write, in most cases.

gollark: It's a poor performance decision (although you can just use pypy, which doesn't have that), sure.

gollark: Although all the tooling and CPUs are optimized for the C model, so good luck changing anything ever.

gollark: You could do that, but you might as well use a sane, nonC language.

gollark: Yes.

References

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