Averages Batting Bowling By Team - Gampaha District

Teamwise Batting and bowling averages in FC+LA+T20s in 2017 - Gampaha District

Gampaha District batting averages

Player	Mat	Inns	NO	Runs	BF	HS	Ave	SR	100	50	0	4s	6s
L Wickramasinghe	3	3	-	117	197	55	39.00	59.39	-	1	-	7	0
HUD Fernando	2	2	-	68	98	47	34.00	69.38	-	-	-	6	0
R Weerasinghe	4	4	-	133	197	88	33.25	67.51	-	1	-	16	2
ML Cooray	4	4	1	91	126	73	30.33	72.22	-	1	1	7	1
NLSDN Lokubandara	4	4	-	70	124	30	17.50	56.45	-	-	-	6	0
MWS Anuruddhika	4	4	-	52	111	22	13.00	46.84	-	-	-	1	2
KN Peiris	4	4	-	45	55	27	11.25	81.81	-	-	-	2	1
PL de Silva	4	3	1	11	20	10*	5.50	55.00	-	-	1	1	1
K Sineth	4	3	-	16	28	14	5.33	57.14	-	-	1	1	0
R Vithana	1	1	-	4	10	4	4.00	40.00	-	-	-	0	0
S Mallawarachchi	1	1	-	1	9	1	1.00	11.11	-	-	-	0	0
MGPC Fernando	3	3	1	-	7	0*	-	-	-	-	2	0	0
WAPD Fernando	1	1	-	-	2	-	-	-	-	-	1	0	0
WRC Fernando	4	3	1	-	2	0*	-	-	-	-	2	0	0
C Rajapaksa	1	1	-	-	6	-	-	-	-	-	1	0	0

Gampaha District bowling averages

Player	Span	Mat	Inns	Overs	Mdns	Runs	Wkts	BBI	Ave	Econ	SR	5	10	Ct	St
HUD Fernando	2017-2017	2	1	1.0	-	4	1	1/4	4.00	4.00	6.0	-	-	-	-
WRC Fernando	2017-2017	4	4	36.0	1	149	11	5/28	13.54	4.13	19.6	1	-	4	-
K Sineth	2017-2017	4	4	38.0	4	163	6	2/27	27.16	4.28	38.0	-	-	-	-
S Mallawarachchi	2017-2017	1	1	7.0	-	32	1	1/32	32.00	4.57	42.0	-	-	-	-
PL de Silva	2017-2017	4	4	31.2	1	196	6	4/57	32.66	6.25	31.3	-	-	-	-
KN Peiris	2017-2017	4	4	40.0	-	191	4	2/57	47.75	4.77	60.0	-	-	3	-
MGPC Fernando	2017-2017	3	3	18.2	1	133	1	1/48	133.00	7.25	110.0	-	-	-	-
WAPD Fernando	2017-2017	1	1	3.0	-	15	0	-	-	5.00	-	-	-	-	-
R Vithana	2017-2017	1	1	10.0	-	67	0	-	-	6.70	-	-	-	-	-
MWS Anuruddhika	2017-2017	4	-	0.0	-	-	0	-	-	-	-	-	-	-	-
ML Cooray	2017-2017	4	-	0.0	-	-	0	-	-	-	-	-	-	1	-
NLSDN Lokubandara	2017-2017	4	-	0.0	-	-	0	-	-	-	-	-	-	5	1
C Rajapaksa	2017-2017	1	-	0.0	-	-	0	-	-	-	-	-	-	-	-
R Weerasinghe	2017-2017	4	-	0.0	-	-	0	-	-	-	-	-	-	2	-
L Wickramasinghe	2017-2017	3	-	0.0	-	-	0	-	-	-	-	-	-	1	-

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