Cricket Records in Bangladesh in New Zealand T20I Series, 2016/17 - New Zealand

New Zealand batting averages

Player	Mat	Inns	NO	Runs	BF	HS	Ave	SR	100	50	0	4s	6s
KS Williamson	3	3	1	145	125	73*	72.50	116.00	-	2	-	13	3
CJ Anderson	3	3	1	111	58	94*	55.50	191.37	-	1	-	4	10
C de Grandhomme	3	3	2	47	27	41*	47.00	174.07	-	-	-	3	3
TC Bruce	3	3	1	71	52	59*	35.50	136.53	-	1	-	6	1
C Munro	3	3	-	101	59	101	33.66	171.18	1	-	2	7	7
JDS Neesham	2	2	-	20	17	15	10.00	117.64	-	-	-	3	0
NT Broom	1	1	-	6	7	6	6.00	85.71	-	-	-	1	0
MJ Santner	3	1	-	4	4	4	4.00	100.00	-	-	-	0	0
L Ronchi	2	1	-	-	1	-	-	-	-	-	1	0	0
TA Blundell	1	-	-	-	0	-	-	-	-	-	-	0	0
TA Boult	2	-	-	-	0	-	-	-	-	-	-	0	0
LH Ferguson	1	-	-	-	0	-	-	-	-	-	-	0	0
MJ Henry	1	-	-	-	0	-	-	-	-	-	-	0	0
IS Sodhi	2	-	-	-	0	-	-	-	-	-	-	0	0
BM Wheeler	3	1	1	-	0	0*	-	-	-	-	-	0	0

New Zealand bowling averages

Player	Span	Mat	Inns	Overs	Mdns	Runs	Wkts	BBI	Ave	Econ	SR	5	10	Ct	St
KS Williamson	2017-2017	3	2	6.0	-	25	3	2/16	8.33	4.16	12.0	-	-	-	-
LH Ferguson	2017-2017	1	1	4.0	-	32	3	3/32	10.66	8.00	8.0	-	-	-	-
IS Sodhi	2017-2017	2	2	8.0	-	58	5	3/36	11.60	7.25	9.6	-	-	1	-
BM Wheeler	2017-2017	3	3	10.1	-	67	4	2/16	16.75	6.59	15.2	-	-	-	-
MJ Santner	2017-2017	3	3	11.0	-	71	3	1/14	23.66	6.45	22.0	-	-	2	-
TA Boult	2017-2017	2	2	7.0	-	76	3	2/48	25.33	10.85	14.0	-	-	3	-
MJ Henry	2017-2017	1	1	4.0	-	44	1	1/44	44.00	11.00	24.0	-	-	1	-
C de Grandhomme	2017-2017	3	3	7.0	-	60	1	1/23	60.00	8.57	42.0	-	-	4	-
JDS Neesham	2017-2017	2	1	1.0	-	17	0	-	-	17.00	-	-	-	1	-
CJ Anderson	2017-2017	3	-	0.0	-	-	0	-	-	-	-	-	-	3	-
TA Blundell	2017-2017	1	-	0.0	-	-	0	-	-	-	-	-	-	-	-
NT Broom	2017-2017	1	-	0.0	-	-	0	-	-	-	-	-	-	-	-
TC Bruce	2017-2017	3	-	0.0	-	-	0	-	-	-	-	-	-	3	-
C Munro	2017-2017	3	-	0.0	-	-	0	-	-	-	-	-	-	1	-
L Ronchi	2017-2017	2	-	0.0	-	-	0	-	-	-	-	-	-	1	-

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