Bowling Best Economy Rate Innings - Hong Kong

Best economy rates in an innings in 2016 in FC - Hong Kong

Best economy rates in an innings

Player	Overs	Mdns	Runs conceded	Wickets taken	Econ	Team	Opposition	Ground	Match Date	Scorecard
Ehsan Khan	10.0	1	25	1	2.50	Hong Kong	v Ireland	Belfast	30 Aug 2016	First-class
Nadeem Ahmed	26.0	3	73	4	2.80	Hong Kong	v Ireland	Belfast	30 Aug 2016	First-class
Tanwir Afzal	16.0	2	53	3	3.31	Hong Kong	v Ireland	Belfast	30 Aug 2016	First-class
Tanwir Afzal	18.1	5	63	4	3.46	Hong Kong	v Ireland	Belfast	30 Aug 2016	First-class
Tanveer Ahmed	9.0	1	32	-	3.55	Hong Kong	v Ireland	Belfast	30 Aug 2016	First-class
Nadeem Ahmed	17.3	-	65	3	3.71	Hong Kong	v Ireland	Belfast	30 Aug 2016	First-class
Aizaz Khan	9.0	1	35	1	3.88	Hong Kong	v Ireland	Belfast	30 Aug 2016	First-class
Ehsan Khan	22.0	2	90	1	4.09	Hong Kong	v Ireland	Belfast	30 Aug 2016	First-class
Tanveer Ahmed	4.0	-	22	2	5.50	Hong Kong	v Ireland	Belfast	30 Aug 2016	First-class
Aizaz Khan	8.0	-	49	1	6.12	Hong Kong	v Ireland	Belfast	30 Aug 2016	First-class
Anshuman Rath	2.0	-	17	-	8.50	Hong Kong	v Ireland	Belfast	30 Aug 2016	First-class
Nizakat Khan	DNB	-	-	-	-	Hong Kong	v Ireland	Belfast	30 Aug 2016	First-class
Nizakat Khan	DNB	-	-	-	-	Hong Kong	v Ireland	Belfast	30 Aug 2016	First-class
Anshuman Rath	DNB	-	-	-	-	Hong Kong	v Ireland	Belfast	30 Aug 2016	First-class
Babar Hayat	DNB	-	-	-	-	Hong Kong	v Ireland	Belfast	30 Aug 2016	First-class
Babar Hayat	DNB	-	-	-	-	Hong Kong	v Ireland	Belfast	30 Aug 2016	First-class
ND Shah	DNB	-	-	-	-	Hong Kong	v Ireland	Belfast	30 Aug 2016	First-class
ND Shah	DNB	-	-	-	-	Hong Kong	v Ireland	Belfast	30 Aug 2016	First-class
Waqas Khan	DNB	-	-	-	-	Hong Kong	v Ireland	Belfast	30 Aug 2016	First-class
Waqas Khan	DNB	-	-	-	-	Hong Kong	v Ireland	Belfast	30 Aug 2016	First-class
C Carter	DNB	-	-	-	-	Hong Kong	v Ireland	Belfast	30 Aug 2016	First-class
C Carter	DNB	-	-	-	-	Hong Kong	v Ireland	Belfast	30 Aug 2016	First-class

Adjust:Most recentPast weekPast MonthPast year4 years10 years25 years

Performances in matches that overlap years are credited to the year in which they occurred - this results in some unknown data, especially in regard to bowling figures