Cricket Records in ICC World Cricket League Europe Region Division One, 2017 - Norway

Best bowling figures in a match

Player	Overs	Mdns	Runs	Wkts	Econ	Team	Opposition	Ground	Match Date	Scorecard
S Waqas Ahmed	10.0	4	24	6	2.40	Norway	v Belgium	Voorburg	10 Jun 2017	Other OD
S Waqas Ahmed	7.0	1	16	3	2.28	Norway	v France	Amstelveen	13 Jun 2017	Other OD
Ansar Iqbal	4.4	-	19	3	4.07	Norway	v Austria	Rotterdam	09 Jun 2017	Other OD
Shahzad Umran	5.0	-	27	3	5.40	Norway	v Austria	Rotterdam	09 Jun 2017	Other OD
S Waqas Ahmed	10.0	1	30	3	3.00	Norway	v Sweden	Schiedam	15 Jun 2017	Other OD
Junaid Sheikh	10.0	-	61	3	6.10	Norway	v Germany	Rotterdam	12 Jun 2017	Other OD
Tafseer Ali	5.0	1	15	2	3.00	Norway	v France	Amstelveen	13 Jun 2017	Other OD
PK Thangavadivel	5.0	-	20	2	4.00	Norway	v Austria	Rotterdam	09 Jun 2017	Other OD
Shahzad Umran	4.5	-	25	2	5.17	Norway	v Belgium	Voorburg	10 Jun 2017	Other OD
Raza Iqbal	9.0	3	26	2	2.88	Norway	v Sweden	Schiedam	15 Jun 2017	Other OD
D Crawford	5.0	-	30	2	6.00	Norway	v France	Amstelveen	13 Jun 2017	Other OD
Raza Iqbal	10.0	-	36	2	3.60	Norway	v Germany	Rotterdam	12 Jun 2017	Other OD
Shahzad Umran	10.0	-	54	2	5.40	Norway	v Germany	Rotterdam	12 Jun 2017	Other OD
Raza Iqbal	0.2	-	-	1	-	Norway	v France	Amstelveen	13 Jun 2017	Other OD
Ansar Iqbal	5.0	1	15	1	3.00	Norway	v Sweden	Schiedam	15 Jun 2017	Other OD
Junaid Sheikh	6.0	-	16	1	2.66	Norway	v France	Amstelveen	13 Jun 2017	Other OD
D Crawford	6.0	-	17	1	2.83	Norway	v Austria	Rotterdam	09 Jun 2017	Other OD
S Waqas Ahmed	5.0	-	20	1	4.00	Norway	v Austria	Rotterdam	09 Jun 2017	Other OD
D Crawford	5.0	-	27	1	5.40	Norway	v Belgium	Voorburg	10 Jun 2017	Other OD
Junaid Sheikh	4.4	-	37	1	7.92	Norway	v Sweden	Schiedam	15 Jun 2017	Other OD
D Crawford	8.5	1	38	1	4.30	Norway	v Germany	Rotterdam	12 Jun 2017	Other OD

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