Averages Batting Bowling By Team - vs Australia

Cricket Records in Chappell-Hadlee Trophy [New Zealand in Australia], 2022 - vs Australia

New Zealand batting averages

Player	Mat	Inns	NO	Runs	BF	HS	Ave	SR	100	50	0	4s	6s
GD Phillips	1	1	-	47	53	47	47.00	88.67	-	-	-	2	2
FH Allen	1	1	-	35	38	35	35.00	92.10	-	-	-	5	1
KS Williamson	3	3	-	89	185	45	29.66	48.10	-	-	-	5	1
MJ Santner	3	3	1	59	75	30	29.50	78.66	-	-	-	5	1
DP Conway	3	3	-	72	114	46	24.00	63.15	-	-	-	9	1
JDS Neesham	3	3	-	54	54	36	18.00	100.00	-	-	-	5	1
TWM Latham	3	3	-	53	75	43	17.66	70.66	-	-	1	2	1
DJ Mitchell	3	3	-	52	87	26	17.33	59.77	-	-	-	5	0
TG Southee	2	2	1	10	12	8*	10.00	83.33	-	-	-	1	0
MG Bracewell	2	2	-	19	30	12	9.50	63.33	-	-	-	2	0
LH Ferguson	2	2	1	9	16	5*	9.00	56.25	-	-	-	0	0
TA Boult	3	3	1	15	16	9	7.50	93.75	-	-	1	2	0
MJ Henry	2	2	-	9	18	5	4.50	50.00	-	-	-	0	0
MJ Guptill	2	2	-	8	24	6	4.00	33.33	-	-	-	1	0

New Zealand bowling averages

Player	Span	Mat	Inns	Overs	Mdns	Runs	Wkts	BBI	Ave	Econ	SR	5	10	Ct	St
TA Boult	2022-2022	3	3	30.0	8	103	10	4/38	10.30	3.43	18.0	-	-	2	-
MJ Henry	2022-2022	2	2	20.0	-	83	5	3/33	16.60	4.15	24.0	-	-	1	-
LH Ferguson	2022-2022	2	2	19.0	-	116	3	2/60	38.66	6.10	38.0	-	-	-	-
TG Southee	2022-2022	2	2	20.0	1	96	2	1/39	48.00	4.80	60.0	-	-	-	-
MJ Santner	2022-2022	3	3	27.0	1	121	2	1/22	60.50	4.48	81.0	-	-	2	-
DJ Mitchell	2022-2022	3	1	2.0	-	7	0	-	-	3.50	-	-	-	1	-
MG Bracewell	2022-2022	2	2	6.0	-	37	0	-	-	6.16	-	-	-	1	-
JDS Neesham	2022-2022	3	3	21.0	-	120	0	-	-	5.71	-	-	-	2	-
FH Allen	2022-2022	1	-	0.0	-	-	0	-	-	-	-	-	-	-	-
DP Conway	2022-2022	3	-	0.0	-	-	0	-	-	-	-	-	-	-	-
MJ Guptill	2022-2022	2	-	0.0	-	-	0	-	-	-	-	-	-	1	-
TWM Latham	2022-2022	3	-	0.0	-	-	0	-	-	-	-	-	-	1	1
GD Phillips	2022-2022	1	-	0.0	-	-	0	-	-	-	-	-	-	-	-
KS Williamson	2022-2022	3	-	0.0	-	-	0	-	-	-	-	-	-	2	-

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