Bowling Best Career Bowling Average - vs Norway

Players - vs Norway

Best averages

Player	Span	Mat	Overs	Mdns	Balls	Runs	Wkts	BBI	Ave	Econ	SR	4	5	10
JD Freyone (GIBR)	2013-2013	1	1.0	0	6	5	1	1/5	5.00	5.00	6.00	0	0	0
MO Bacarese (GIBR)	2013-2013	1	4.0	0	24	24	4	4/24	6.00	6.00	6.00	1	0	0
Imran Asif (AUT)	2013-2013	1	2.0	0	12	13	2	2/13	6.50	6.50	6.00	0	0	0
Mohammad Naveed (SWE)	2013-2013	1	4.0	0	24	33	5	5/33	6.60	8.25	4.80	0	1	0
GRD Munasinghe (ITA)	2013-2013	1	4.0	1	24	22	3	3/22	7.33	5.50	8.00	0	0	0
CS Sandri (ITA)	2013-2013	1	4.0	0	24	16	2	2/16	8.00	4.00	12.00	0	0	0
DA Marage (ITA)	2013-2013	1	3.0	0	18	10	1	1/10	10.00	3.33	18.00	0	0	0
JDJ Frith (GUE)	2013-2013	1	4.0	0	24	23	2	2/23	11.50	5.75	12.00	0	0	0
DSF Arsakulasuriya (ITA)	2013-2013	1	3.0	0	18	13	1	1/13	13.00	4.33	18.00	0	0	0
MG Hunter (GIBR)	2013-2013	1	4.0	0	24	29	2	2/29	14.50	7.25	12.00	0	0	0
H Singh (GER)	2013-2013	1	3.0	0	18	29	2	2/29	14.50	9.66	9.00	0	0	0
A Randhawa (AUT)	2013-2013	1	1.0	0	6	16	1	1/16	16.00	16.00	6.00	0	0	0
I Goraya (AUT)	2013-2013	1	4.0	0	24	33	2	2/33	16.50	8.25	12.00	0	0	0
N Ahmad (GER)	2013-2013	1	3.0	0	18	19	1	1/19	19.00	6.33	18.00	0	0	0
W de Silva (GER)	2013-2013	1	2.0	0	12	19	1	1/19	19.00	9.50	12.00	0	0	0
MLA Ellis (GUE)	2013-2013	1	3.0	0	18	19	1	1/19	19.00	6.33	18.00	0	0	0
DG Crowley (ITA)	2013-2013	1	3.0	0	18	20	1	1/20	20.00	6.66	18.00	0	0	0
Kashif Haider (GER)	2013-2013	1	4.0	0	24	42	2	2/42	21.00	10.50	12.00	0	0	0
R Iqbal (GER)	2013-2013	1	4.0	0	24	23	1	1/23	23.00	5.75	24.00	0	0	0
Sandeep Sharma (SWE)	2013-2013	1	4.0	0	24	25	1	1/25	25.00	6.25	24.00	0	0	0
JAJ Nussbaumer (GUE)	2013-2013	1	4.0	0	24	26	1	1/26	26.00	6.50	24.00	0	0	0
K Mirpuri (GIBR)	2013-2013	1	4.0	0	24	27	1	1/27	27.00	6.75	24.00	0	0	0
DR Hooper (GUE)	2013-2013	1	4.0	0	24	40	1	1/40	40.00	10.00	24.00	0	0	0

Adjust:Most recentPast weekPast MonthPast year4 years10 years25 years

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