Averages Batting Bowling By Team IN India

Teamwise Batting and bowling averages in WT20Is in 2018 IN India

Australia Women batting averages

Player	Mat	Inns	NO	Runs	BF	HS	Ave	SR	100	50	0	4s	6s
GM Harris	4	3	2	132	65	64*	132.00	203.07	-	1	-	14	8
RL Haynes	5	4	3	88	59	65	88.00	149.15	-	1	-	10	1
EA Perry	10	6	2	215	140	75	53.75	153.57	-	2	-	27	7
TM McGrath	5	5	2	146	120	70*	48.66	121.66	-	1	-	17	4
BL Mooney	9	9	2	325	233	89*	46.42	139.48	-	3	1	49	0
A Gardner	10	7	1	208	123	66*	34.66	169.10	-	1	-	27	9
EJ Villani	5	5	-	157	117	61	31.40	134.18	-	2	-	22	0
AJ Healy	9	9	1	176	122	37	22.00	144.26	-	-	-	26	5
P Litchfield	2	1	-	11	9	11	11.00	122.22	-	-	-	1	0
NJ Carey	2	2	1	7	7	6	7.00	100.00	-	-	-	1	0
S Molineux	3	1	-	6	12	6	6.00	50.00	-	-	-	0	0
DM Kimmince	5	1	-	1	2	1	1.00	50.00	-	-	-	0	0
A Sutherland	5	1	-	1	3	1	1.00	33.33	-	-	-	0	0
MM Lanning	4	4	4	175	108	88*	-	162.03	-	1	-	29	2
AM King	5	1	1	7	6	7*	-	116.66	-	-	-	1	0
JL Jonassen	6	1	1	1	1	1*	-	100.00	-	-	-	0	0
M Schutt	9	1	1	1	3	1*	-	33.33	-	-	-	0	0
D Brown	3	-	-	-	0	-	-	-	-	-	-	0	0
KJ Garth	3	-	-	-	0	-	-	-	-	-	-	0	0
H Graham	3	-	-	-	0	-	-	-	-	-	-	0	0
A Wellington	3	-	-	-	0	-	-	-	-	-	-	0	0

Australia Women bowling averages

Player	Span	Mat	Inns	Overs	Mdns	Runs	Wkts	BBI	Ave	Econ	SR	5	10	Ct	St
H Graham	2022-2022	3	3	9.0	-	70	7	4/8	10.00	7.77	7.7	-	-	1	-
A Gardner	2018-2022	10	10	29.0	1	207	13	2/20	15.92	7.13	13.3	-	-	6	-
DM Kimmince	2018-2018	5	5	17.0	-	132	8	3/20	16.50	7.76	12.7	-	-	1	-
TM McGrath	2022-2022	5	1	2.0	-	17	1	1/17	17.00	8.50	12.0	-	-	1	-
A Wellington	2018-2018	3	3	4.0	-	19	1	1/2	19.00	4.75	24.0	-	-	2	-
D Brown	2022-2022	3	3	12.0	-	83	4	2/19	20.75	6.91	18.0	-	-	2	-
A Sutherland	2022-2022	5	5	7.0	-	69	3	1/11	23.00	9.85	14.0	-	-	6	-
M Schutt	2018-2022	9	9	33.4	1	264	10	3/14	26.40	7.84	20.2	-	-	1	-
EA Perry	2018-2022	10	9	23.0	1	178	6	2/10	29.66	7.73	23.0	-	-	3	-
AM King	2022-2022	5	5	15.0	-	126	3	2/23	42.00	8.40	30.0	-	-	1	-
NJ Carey	2018-2022	2	2	6.0	-	63	1	1/44	63.00	10.50	36.0	-	-	-	-
JL Jonassen	2018-2022	6	6	20.0	-	155	2	2/21	77.50	7.75	60.0	-	-	-	-
KJ Garth	2022-2022	3	3	10.0	-	81	1	1/27	81.00	8.10	60.0	-	-	-	-
S Molineux	2018-2018	3	3	7.0	-	47	0	-	-	6.71	-	-	-	3	-
GM Harris	2022-2022	4	-	0.0	-	-	0	-	-	-	-	-	-	1	-
RL Haynes	2018-2018	5	-	0.0	-	-	0	-	-	-	-	-	-	1	-
AJ Healy	2018-2022	9	-	0.0	-	-	0	-	-	-	-	-	-	3	3
MM Lanning	2018-2018	4	-	0.0	-	-	0	-	-	-	-	-	-	2	-
P Litchfield	2022-2022	2	-	0.0	-	-	0	-	-	-	-	-	-	-	-
BL Mooney	2018-2022	9	-	0.0	-	-	0	-	-	-	-	-	-	4	2
EJ Villani	2018-2018	5	-	0.0	-	-	0	-	-	-	-	-	-	2	-

England Women batting averages

Player	Mat	Inns	NO	Runs	BF	HS	Ave	SR	100	50	0	4s	6s
DN Wyatt	8	8	1	336	228	124	48.00	147.36	1	1	-	41	8
TT Beaumont	8	8	1	219	188	62	31.28	116.48	-	2	1	28	2
Nat Sciver-Brunt	8	8	2	160	130	68*	26.66	123.07	-	2	1	19	2
L Winfield-Hill	3	3	1	33	28	29	16.50	117.85	-	-	-	4	0
AE Jones	6	5	-	80	76	30	16.00	105.26	-	-	-	9	0
HC Knight	7	6	1	72	61	40	14.40	118.03	-	-	1	10	0
FC Wilson	4	3	-	37	50	14	12.33	74.00	-	-	-	3	0
AN Davidson-Richards	5	3	-	28	34	24	9.33	82.35	-	-	-	2	0
JL Gunn	4	2	-	17	18	12	8.50	94.44	-	-	-	2	0
NE Farrant	4	3	2	6	15	3*	6.00	40.00	-	-	-	0	0
BF Smith	3	3	-	16	16	15	5.33	100.00	-	-	1	2	0
S Ecclestone	4	2	-	7	14	5	3.50	50.00	-	-	-	0	0
D Hazell	4	3	1	7	14	4*	3.50	50.00	-	-	1	0	0
KL George	3	1	-	-	2	-	-	-	-	-	1	0	0
SIR Dunkley	2	1	1	14	18	14*	-	77.77	-	-	-	0	0
A Shrubsole	3	1	1	10	8	10*	-	125.00	-	-	-	0	0
K Sciver-Brunt	2	2	2	6	7	4*	-	85.71	-	-	-	0	0
A Hartley	2	1	1	2	2	2*	-	100.00	-	-	-	0	0
KL Cross	3	-	-	-	0	-	-	-	-	-	-	0	0
LA Marsh	2	-	-	-	0	-	-	-	-	-	-	0	0
LCN Smith	3	-	-	-	0	-	-	-	-	-	-	0	0

England Women bowling averages

Player	Span	Mat	Inns	Overs	Mdns	Runs	Wkts	BBI	Ave	Econ	SR	5	10	Ct	St
K Sciver-Brunt	2019-2019	2	2	8.0	-	38	5	3/17	7.60	4.75	9.6	-	-	-	-
LCN Smith	2019-2019	3	3	9.0	-	53	5	2/11	10.60	5.88	10.8	-	-	-	-
KL Cross	2019-2019	3	3	12.0	-	58	4	2/18	14.50	4.83	18.0	-	-	2	-
A Shrubsole	2019-2019	3	3	11.0	-	71	3	1/23	23.66	6.45	22.0	-	-	1	-
JL Gunn	2018-2018	4	4	14.0	-	132	5	3/26	26.40	9.42	16.8	-	-	2	-
NE Farrant	2018-2018	4	4	12.0	-	97	3	2/32	32.33	8.08	24.0	-	-	1	-
D Hazell	2018-2018	4	4	11.3	-	101	3	2/17	33.66	8.78	23.0	-	-	-	-
Nat Sciver-Brunt	2018-2019	8	8	19.0	-	159	4	2/29	39.75	8.36	28.5	-	-	4	-
LA Marsh	2019-2019	2	2	8.0	-	46	1	1/22	46.00	5.75	48.0	-	-	-	-
S Ecclestone	2018-2018	4	4	14.0	-	111	2	1/15	55.50	7.92	42.0	-	-	-	-
DN Wyatt	2018-2019	8	3	5.0	-	28	0	-	-	5.60	-	-	-	1	-
A Hartley	2018-2019	2	2	6.4	-	36	0	-	-	5.40	-	-	-	-	-
AN Davidson-Richards	2018-2018	5	3	4.0	-	44	0	-	-	11.00	-	-	-	2	-
HC Knight	2018-2019	7	3	7.0	-	56	0	-	-	8.00	-	-	-	3	-
KL George	2018-2018	3	3	6.0	-	64	0	-	-	10.66	-	-	-	-	-
TT Beaumont	2018-2019	8	-	0.0	-	-	0	-	-	-	-	-	-	4	-
SIR Dunkley	2019-2019	2	-	0.0	-	-	0	-	-	-	-	-	-	1	-
AE Jones	2018-2019	6	-	0.0	-	-	0	-	-	-	-	-	-	2	1
BF Smith	2018-2018	3	-	0.0	-	-	0	-	-	-	-	-	-	-	-
FC Wilson	2018-2018	4	-	0.0	-	-	0	-	-	-	-	-	-	-	-
L Winfield-Hill	2019-2019	3	-	0.0	-	-	0	-	-	-	-	-	-	2	-

India batting averages

Player	Mat	Inns	NO	Runs	BF	HS	Ave	SR	100	50	0	4s	6s
No records found

India bowling averages

Player	Span	Mat	Inns	Overs	Mdns	Runs	Wkts	BBI	Ave	Econ	SR	5	10	Ct	St
No records found

India Women batting averages

Player	Mat	Inns	NO	Runs	BF	HS	Ave	SR	100	50	0	4s	6s
P Vastrakar	6	5	4	51	35	22*	51.00	145.71	-	-	-	6	0
RM Ghosh	8	7	3	162	98	44*	40.50	165.30	-	-	-	19	7
S Pandey	7	5	4	31	36	23*	31.00	86.11	-	-	-	4	0
S Mandhana	19	19	2	520	379	79	30.58	137.20	-	5	-	77	12
DB Sharma	18	15	7	238	211	53	29.75	112.79	-	1	-	29	1
H Kaur	13	13	2	327	293	46	29.72	111.60	-	-	-	35	7
Shafali Verma	12	12	-	334	244	60	27.83	136.88	-	2	1	42	16
DP Vaidya	5	5	2	80	73	32	26.66	109.58	-	-	-	7	1
AA Patil	6	5	2	78	52	38*	26.00	150.00	-	-	1	12	1
H Deol	8	7	1	134	138	52	22.33	97.10	-	1	-	17	1
M Raj	7	7	1	134	156	53	22.33	85.89	-	1	1	15	0
V Krishnamurthy	7	6	1	74	79	26	14.80	93.67	-	-	-	8	1
A Reddy	5	3	-	40	45	22	13.33	88.88	-	-	1	5	0
JI Rodrigues	18	16	-	206	216	50	12.87	95.37	-	1	2	28	0
BS Fulmali	2	2	-	23	33	18	11.50	69.69	-	-	-	2	0
T Bhatia	11	3	1	12	11	11*	6.00	109.09	-	-	1	1	0
K Anjali Sarvani	5	2	1	6	14	4	6.00	42.85	-	-	-	0	0
RP Yadav	14	4	1	8	13	4	2.66	61.53	-	-	1	0	0
Renuka Singh	5	1	-	2	3	2	2.00	66.66	-	-	-	0	0
Poonam Yadav	12	1	-	-	2	-	-	-	-	-	1	0	0
M Joshi	1	1	1	3	16	3*	-	18.75	-	-	-	0	0
E Bisht	2	1	1	2	3	2*	-	66.66	-	-	-	0	0
RS Gayakwad	5	1	1	1	3	1*	-	33.33	-	-	-	0	0
SD Bahadur	3	-	-	-	0	-	-	-	-	-	-	0	0
R Dhar	1	-	-	-	0	-	-	-	-	-	-	0	0
J Goswami	4	-	-	-	0	-	-	-	-	-	-	0	0
Meghna Singh	2	-	-	-	0	-	-	-	-	-	-	0	0
NM Parween	2	-	-	-	0	-	-	-	-	-	-	0	0
A Soni	1	-	-	-	0	-	-	-	-	-	-	0	0

India Women bowling averages

Player	Span	Mat	Inns	Overs	Mdns	Runs	Wkts	BBI	Ave	Econ	SR	5	10	Ct	St
E Bisht	2019-2019	2	2	8.0	-	55	3	2/23	18.33	6.87	16.0	-	-	-	-
Poonam Yadav	2018-2021	12	12	43.0	1	263	13	3/13	20.23	6.11	19.8	-	-	5	-
H Deol	2019-2022	8	5	10.0	-	82	4	2/13	20.50	8.20	15.0	-	-	3	-
J Goswami	2018-2018	4	4	13.4	1	108	5	3/30	21.60	7.90	16.4	-	-	2	-
RP Yadav	2018-2022	14	14	46.5	-	351	16	3/23	21.93	7.49	17.5	-	-	3	-
DB Sharma	2018-2022	18	18	63.2	3	477	19	3/8	25.10	7.53	20.0	-	-	7	-
H Kaur	2018-2022	13	6	12.0	-	84	3	1/5	28.00	7.00	24.0	-	-	2	-
RS Gayakwad	2021-2022	5	5	18.0	1	117	4	3/9	29.25	6.50	27.0	-	-	-	-
S Pandey	2018-2019	7	7	23.0	-	132	4	2/18	33.00	5.73	34.5	-	-	2	-
AA Patil	2018-2019	6	6	22.5	-	166	5	3/21	33.20	7.27	27.4	-	-	-	-
DP Vaidya	2022-2022	5	5	15.0	-	135	4	2/22	33.75	9.00	22.5	-	-	1	-
Shafali Verma	2019-2022	12	2	4.0	-	35	1	1/17	35.00	8.75	24.0	-	-	4	-
P Vastrakar	2018-2019	6	6	12.0	-	111	3	2/28	37.00	9.25	24.0	-	-	-	-
A Reddy	2019-2021	5	5	19.1	-	146	3	1/18	48.66	7.61	38.3	-	-	-	-
K Anjali Sarvani	2022-2022	5	5	19.0	-	166	3	2/34	55.33	8.73	38.0	-	-	-	-
SD Bahadur	2021-2021	3	3	9.0	-	66	1	1/29	66.00	7.33	54.0	-	-	1	-
Renuka Singh	2022-2022	5	5	20.0	1	170	2	2/24	85.00	8.50	60.0	-	-	1	-
JI Rodrigues	2018-2022	18	1	1.0	-	11	0	-	-	11.00	-	-	-	5	-
R Dhar	2018-2018	1	1	2.1	-	28	0	-	-	12.92	-	-	-	-	-
Meghna Singh	2022-2022	2	2	3.0	-	41	0	-	-	13.66	-	-	-	-	-
M Joshi	2019-2019	1	1	4.0	-	49	0	-	-	12.25	-	-	-	-	-
T Bhatia	2018-2019	11	-	0.0	-	-	0	-	-	-	-	-	-	3	10
BS Fulmali	2019-2019	2	-	0.0	-	-	0	-	-	-	-	-	-	-	-
RM Ghosh	2021-2022	8	-	0.0	-	-	0	-	-	-	-	-	-	1	3
V Krishnamurthy	2018-2019	7	-	0.0	-	-	0	-	-	-	-	-	-	4	-
S Mandhana	2018-2022	19	-	0.0	-	-	0	-	-	-	-	-	-	6	-
NM Parween	2021-2021	2	-	0.0	-	-	0	-	-	-	-	-	-	-	-
M Raj	2018-2019	7	-	0.0	-	-	0	-	-	-	-	-	-	1	-
A Soni	2021-2021	1	-	0.0	-	-	0	-	-	-	-	-	-	-	-

South Africa Women batting averages

Player	Mat	Inns	NO	Runs	BF	HS	Ave	SR	100	50	0	4s	6s
L Goodall	6	3	2	48	53	25*	48.00	90.56	-	-	-	4	0
L Lee	7	7	-	215	161	84	30.71	133.54	-	2	-	38	2
L Wolvaardt	7	7	3	120	111	53*	30.00	108.10	-	1	1	17	0
A Bosch	5	4	1	79	63	66*	26.33	125.39	-	1	1	11	1
S Luus	7	7	-	165	174	62	23.57	94.82	-	1	1	19	1
M du Preez	6	5	-	92	72	59	18.40	127.77	-	1	1	8	3
F Tunnicliffe	1	1	-	18	35	18	18.00	51.42	-	-	-	1	0
S Jafta	4	1	-	16	9	16	16.00	177.77	-	-	-	2	0
T Brits	2	2	-	23	34	20	11.50	67.64	-	-	-	2	0
N de Klerk	7	6	2	41	51	11	10.25	80.39	-	-	1	4	0
A Khaka	6	3	2	9	22	5	9.00	40.90	-	-	-	0	0
N Shangase	3	2	1	6	13	4	6.00	46.15	-	-	-	1	0
S Ismail	7	3	-	11	13	6	3.66	84.61	-	-	1	2	0
N Mlaba	5	1	-	-	1	-	-	-	-	-	1	0	0
TS Sekhukhune	4	2	2	3	6	2*	-	50.00	-	-	-	0	0

South Africa Women bowling averages

Player	Span	Mat	Inns	Overs	Mdns	Runs	Wkts	BBI	Ave	Econ	SR	5	10	Ct	St
N Shangase	2019-2021	3	3	4.3	-	36	4	2/0	9.00	8.00	6.7	-	-	-	-
A Bosch	2019-2021	5	5	10.0	-	62	5	2/11	12.40	6.20	12.0	-	-	2	-
S Ismail	2019-2021	7	7	26.0	1	160	11	3/14	14.54	6.15	14.1	-	-	6	-
N de Klerk	2019-2021	7	7	22.0	1	162	9	3/18	18.00	7.36	14.6	-	-	1	-
A Khaka	2019-2021	6	6	22.1	2	110	3	1/9	36.66	4.96	44.3	-	-	-	-
TS Sekhukhune	2019-2021	4	4	11.0	-	86	2	1/22	43.00	7.81	33.0	-	-	2	-
N Mlaba	2019-2021	5	5	15.0	-	116	2	1/27	58.00	7.73	45.0	-	-	-	-
S Luus	2019-2021	7	6	12.0	1	99	1	1/4	99.00	8.25	72.0	-	-	4	-
T Brits	2019-2019	2	-	0.0	-	-	0	-	-	-	-	-	-	1	-
M du Preez	2019-2021	6	-	0.0	-	-	0	-	-	-	-	-	-	2	-
L Goodall	2019-2021	6	-	0.0	-	-	0	-	-	-	-	-	-	-	-
S Jafta	2019-2021	4	-	0.0	-	-	0	-	-	-	-	-	-	2	1
L Lee	2019-2021	7	-	0.0	-	-	0	-	-	-	-	-	-	4	-
F Tunnicliffe	2021-2021	1	-	0.0	-	-	0	-	-	-	-	-	-	-	-
L Wolvaardt	2019-2021	7	-	0.0	-	-	0	-	-	-	-	-	-	-	-

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