Bowling Best Career Bowling Average - United States of America

Best averages in 2018 in ODIs - United States of America

Best averages

Player	Span	Mat	Overs	Mdns	Balls	Runs	Wkts	BBI	Ave	Econ	SR	4	5	10
G Singh	2021-2022	21	2.0	-	12	5	1	1/5	5.00	2.50	12.00	-	-	-
AA Paradkar	2021-2021	2	12.0	2	72	53	4	4/26	13.25	4.41	18.00	1	-	-
Ali Khan	2019-2022	7	54.1	5	325	240	14	5/20	17.14	4.43	23.21	-	1	-
SN Netravalkar	2019-2022	38	319.4	36	1918	1297	63	5/32	20.58	4.05	30.44	1	2	-
IG Holland	2019-2022	15	104.4	6	628	466	19	3/11	24.52	4.45	33.05	-	-	-
TK Patel	2019-2020	7	39.0	6	234	150	6	2/25	25.00	3.84	39.00	-	-	-
J Theron	2019-2022	14	97.4	6	586	494	19	4/56	26.00	5.05	30.84	1	-	-
Jasdeep Singh	2019-2022	14	87.2	8	524	411	15	4/32	27.40	4.70	34.93	2	-	-
CAH Stevenson	2019-2022	18	115.3	5	693	642	23	3/22	27.91	5.55	30.13	-	-	-
SR Taylor	2019-2022	37	215.5	12	1295	929	33	4/23	28.15	4.30	39.24	1	-	-
NP Kenjige	2019-2022	29	224.4	9	1348	896	30	3/22	29.86	3.98	44.93	-	-	-
K Gore	2019-2021	16	92.0	9	552	406	13	4/20	31.23	4.41	42.46	1	-	-
NK Patel	2019-2022	31	190.5	6	1145	915	29	4/30	31.55	4.79	39.48	1	-	-
JS Malhotra	2019-2022	18	17.0	-	102	67	2	1/17	33.50	3.94	51.00	-	-	-
Yasir Mohammad	2022-2022	3	18.0	-	108	113	3	2/50	37.66	6.27	36.00	-	-	-
K Phillip	2021-2022	3	24.0	1	144	140	3	3/43	46.66	5.83	48.00	-	-	-
EH Hutchinson	2019-2021	11	52.0	3	312	226	4	1/12	56.50	4.34	78.00	-	-	-
Aaron Jones	2019-2022	33	27.0	-	162	148	-	-	-	5.48	-	-	-	-
Akshay Homraj	2019-2020	8	0.0	-	0	-	-	-	-	-	-	-	-	-
RM Jariwala	2022-2022	4	0.0	-	0	-	-	-	-	-	-	-	-	-
SP Krishnamurthi	2021-2021	3	7.0	-	42	27	-	-	-	3.85	-	-	-	-
XM Marshall	2019-2020	13	0.0	-	0	-	-	-	-	-	-	-	-	-
SJ Modani	2021-2022	20	2.0	-	12	6	-	-	-	3.00	-	-	-	-
SR Mukkamalla	2022-2022	8	0.0	-	0	-	-	-	-	-	-	-	-	-
MD Patel	2019-2022	38	0.0	-	0	-	-	-	-	-	-	-	-	-
DOD Rikhi	2021-2021	2	0.0	-	0	-	-	-	-	-	-	-	-	-
Shayan Jahangir	2022-2022	4	0.0	-	0	-	-	-	-	-	-	-	-	-
HR Walsh	2019-2019	1	1.0	-	6	9	-	-	-	9.00	-	-	-	-

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