Averages Batting Bowling By Team - vs Bangladesh

Cricket Records in Bangladesh in New Zealand ODI Series, 2018/19 - vs Bangladesh

New Zealand batting averages

Player	Mat	Inns	NO	Runs	BF	HS	Ave	SR	100	50	0	4s	6s
LRPL Taylor	3	3	2	135	151	69	135.00	89.40	-	1	-	16	0
MJ Guptill	3	3	1	264	244	118	132.00	108.19	2	-	-	25	9
KS Williamson	2	2	1	76	108	65*	76.00	70.37	-	1	-	4	0
TWM Latham	3	1	-	59	51	59	59.00	115.68	-	1	-	2	3
HM Nicholls	3	3	-	131	177	64	43.66	74.01	-	2	-	14	0
JDS Neesham	3	1	-	37	24	37	37.00	154.16	-	-	-	3	2
C Munro	1	1	-	8	7	8	8.00	114.28	-	-	-	0	0
C de Grandhomme	3	1	1	37	15	37*	-	246.66	-	-	-	4	2
MJ Santner	2	1	1	16	9	16*	-	177.77	-	-	-	0	1
TD Astle	1	-	-	-	0	-	-	-	-	-	-	0	0
TA Boult	3	-	-	-	0	-	-	-	-	-	-	0	0
LH Ferguson	3	-	-	-	0	-	-	-	-	-	-	0	0
MJ Henry	2	-	-	-	0	-	-	-	-	-	-	0	0
TG Southee	1	-	-	-	0	-	-	-	-	-	-	0	0

New Zealand bowling averages

Player	Span	Mat	Inns	Overs	Mdns	Runs	Wkts	BBI	Ave	Econ	SR	5	10	Ct	St
TG Southee	2019-2019	1	1	9.2	1	65	6	6/65	10.83	6.96	9.3	1	-	1	-
TA Boult	2019-2019	3	3	28.5	2	126	6	3/40	21.00	4.36	28.8	-	-	2	-
MJ Henry	2019-2019	2	2	19.0	3	78	3	2/48	26.00	4.10	38.0	-	-	1	-
TD Astle	2019-2019	1	1	10.0	-	52	2	2/52	26.00	5.20	30.0	-	-	-	-
LH Ferguson	2019-2019	3	3	30.0	1	137	5	3/43	27.40	4.56	36.0	-	-	1	-
MJ Santner	2019-2019	2	2	18.0	2	91	3	3/45	30.33	5.05	36.0	-	-	-	-
C de Grandhomme	2019-2019	3	3	14.0	-	62	2	1/18	31.00	4.42	42.0	-	-	-	-
JDS Neesham	2019-2019	3	3	16.4	-	71	2	2/21	35.50	4.26	50.0	-	-	2	-
MJ Guptill	2019-2019	3	-	0.0	-	-	0	-	-	-	-	-	-	3	-
TWM Latham	2019-2019	3	-	0.0	-	-	0	-	-	-	-	-	-	3	1
C Munro	2019-2019	1	-	0.0	-	-	0	-	-	-	-	-	-	2	-
HM Nicholls	2019-2019	3	-	0.0	-	-	0	-	-	-	-	-	-	1	-
LRPL Taylor	2019-2019	3	-	0.0	-	-	0	-	-	-	-	-	-	2	-
KS Williamson	2019-2019	2	-	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