Averages Batting Bowling By Team - Papua New Guinea

Teamwise Batting and bowling averages in List A in 2016 - Papua New Guinea

Papua New Guinea batting averages

Player	Mat	Inns	NO	Runs	BF	HS	Ave	SR	100	50	0	4s	6s
S Bau	7	7	1	276	349	76	46.00	79.08	-	2	-	22	7
D Bau	5	5	2	137	163	80*	45.66	84.04	-	1	-	13	1
A Vala	7	7	1	267	307	70	44.50	86.97	-	3	-	23	3
JB Reva	6	2	1	44	41	43*	44.00	107.31	-	-	-	4	2
VV Morea	7	7	1	263	421	102*	43.83	62.47	1	2	1	22	5
MD Dai	7	6	2	128	174	76*	32.00	73.56	-	1	-	9	4
L Siaka	7	7	-	172	180	70	24.57	95.55	-	1	1	13	8
TP Ura	5	5	-	85	110	27	17.00	77.27	-	-	-	10	2
H Hiri	3	3	1	26	66	11	13.00	39.39	-	-	-	3	0
CA Soper	7	3	-	27	60	16	9.00	45.00	-	-	-	1	0
N Vanua	7	2	1	8	16	8*	8.00	50.00	-	-	1	0	0
CJA Amini	2	2	1	4	5	4*	4.00	80.00	-	-	1	1	0
JNT Vare	2	1	-	2	6	2	2.00	33.33	-	-	-	0	0
WT Gavera	3	1	1	4	6	4*	-	66.66	-	-	-	1	0
A Nao	1	-	-	-	0	-	-	-	-	-	-	0	0
N Pokana	1	-	-	-	0	-	-	-	-	-	-	0	0

Papua New Guinea bowling averages

Player	Span	Mat	Inns	Overs	Mdns	Runs	Wkts	BBI	Ave	Econ	SR	5	10	Ct	St
CA Soper	2016-2016	7	7	63.4	3	293	18	6/41	16.27	4.60	21.2	2	-	4	-
JB Reva	2016-2016	6	6	42.0	1	179	7	4/31	25.57	4.26	36.0	-	-	3	-
A Vala	2016-2016	7	5	31.0	3	122	4	2/36	30.50	3.93	46.5	-	-	3	-
MD Dai	2016-2016	7	7	62.0	3	252	8	3/58	31.50	4.06	46.5	-	-	3	-
N Vanua	2016-2016	7	7	52.3	3	286	9	3/38	31.77	5.44	35.0	-	-	-	-
L Siaka	2016-2016	7	4	8.0	-	32	1	1/11	32.00	4.00	48.0	-	-	2	-
WT Gavera	2016-2016	3	3	28.0	1	137	4	3/39	34.25	4.89	42.0	-	-	-	-
A Nao	2016-2016	1	1	7.0	-	42	1	1/42	42.00	6.00	42.0	-	-	-	-
S Bau	2016-2016	7	4	21.0	2	100	2	1/21	50.00	4.76	63.0	-	-	2	-
CJA Amini	2016-2016	2	1	3.0	-	13	0	-	-	4.33	-	-	-	-	-
N Pokana	2016-2016	1	1	5.0	1	24	0	-	-	4.80	-	-	-	-	-
H Hiri	2016-2016	3	2	3.0	-	30	0	-	-	10.00	-	-	-	-	-
D Bau	2016-2016	5	-	0.0	-	-	0	-	-	-	-	-	-	4	1
VV Morea	2016-2016	7	-	0.0	-	-	0	-	-	-	-	-	-	1	-
TP Ura	2016-2016	5	-	0.0	-	-	0	-	-	-	-	-	-	2	-
JNT Vare	2016-2016	2	-	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