Bowling Best Career Economy Rate - vs England

Best economy rates in 2014 in Minor T20s - vs England

Best economy rates

Player	Span	Mat	Overs	Mdns	Balls	Runs	Wkts	BBI	Ave	Econ	SR	4	5	10
S Badree (WI)	2014-2014	1	4.0	-	24	19	1	1/19	19.00	4.75	24.0	-	-	-
R Ashwin (IND)	2014-2014	1	4.0	-	24	20	1	1/20	20.00	5.00	24.0	-	-	-
AD Russell (WI)	2014-2014	1	3.0	-	18	16	1	1/16	16.00	5.33	18.0	-	-	-
DJG Sammy (WI)	2014-2014	1	3.0	-	18	17	-	-	-	5.66	-	-	-	-
SK Raina (IND)	2014-2014	1	4.0	-	24	23	1	1/23	23.00	5.75	24.0	-	-	-
K Santokie (WI)	2014-2014	1	4.0	-	24	24	3	3/24	8.00	6.00	8.0	-	-	-
SP Narine (WI)	2014-2014	1	2.0	-	12	12	-	-	-	6.00	-	-	-	-
RA Jadeja (IND)	2014-2014	1	3.0	-	18	23	2	2/23	11.50	7.66	9.0	-	-	-
MN Samuels (WI)	2014-2014	1	2.0	-	12	17	-	-	-	8.50	-	-	-	-
B Kumar (IND)	2014-2014	1	3.0	-	18	27	1	1/27	27.00	9.00	18.0	-	-	-
Mohammed Shami (IND)	2014-2014	1	3.0	-	18	29	1	1/29	29.00	9.66	18.0	-	-	-
A Mishra (IND)	2014-2014	1	2.0	-	12	21	-	-	-	10.50	-	-	-	-
SS Cottrell (WI)	2014-2014	1	2.0	-	12	23	2	2/23	11.50	11.50	6.0	-	-	-
VR Aaron (IND)	2014-2014	1	1.0	-	6	13	-	-	-	13.00	-	-	-	-
STR Binny (IND)	2014-2014	1	0.0	-	0	-	-	-	-	-	-	-	-	-
DJ Bravo (WI)	2014-2014	1	0.0	-	0	-	-	-	-	-	-	-	-	-
J Charles (WI)	2014-2014	1	0.0	-	0	-	-	-	-	-	-	-	-	-
S Dhawan (IND)	2014-2014	1	0.0	-	0	-	-	-	-	-	-	-	-	-
MS Dhoni (IND)	2014-2014	1	0.0	-	0	-	-	-	-	-	-	-	-	-
ADS Fletcher (WI)	2014-2014	1	0.0	-	0	-	-	-	-	-	-	-	-	-
CH Gayle (WI)	2014-2014	1	0.0	-	0	-	-	-	-	-	-	-	-	-
V Kohli (IND)	2014-2014	1	0.0	-	0	-	-	-	-	-	-	-	-	-
AM Rahane (IND)	2014-2014	1	0.0	-	0	-	-	-	-	-	-	-	-	-
D Ramdin (WI)	2014-2014	1	0.0	-	0	-	-	-	-	-	-	-	-	-
R Rampaul (WI)	2014-2014	1	0.0	-	0	-	-	-	-	-	-	-	-	-
MM Sharma (IND)	2014-2014	1	0.0	-	0	-	-	-	-	-	-	-	-	-
RG Sharma (IND)	2014-2014	1	0.0	-	0	-	-	-	-	-	-	-	-	-
LMP Simmons (WI)	2014-2014	1	0.0	-	0	-	-	-	-	-	-	-	-	-
DR Smith (WI)	2014-2014	1	0.0	-	0	-	-	-	-	-	-	-	-	-
Yuvraj Singh (IND)	2014-2014	1	0.0	-	0	-	-	-	-	-	-	-	-	-

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