Batting Highest Career Batting Average

Players

Highest averages
Player
Span
Mat
Inns
NO
Runs
HS
Ave
BF
SR
100
50
0
4s
6s
2019-201965421364213.00132161.360101810
2019-201944316070*160.00127125.9802096
2019-201922114677*146.0077189.61020128
2019-201965324877124.00187132.62020225
2019-2019441359101119.66241148.961303316
2019-201922111482114.0063180.95010144
2019-2019642209125104.50110190.001001214
2019-2019442189100*94.50142133.091001312
2019-20198843607290.00235153.190402223
2019-20194438944*89.0047189.3600047
2019-2019221886488.0054162.9601064
2019-20193328643*86.0054159.2500083
2019-20192218368*83.0075110.6601090
2019-201988433285*83.00198167.670302321
2019-20197327647*76.0048158.3300055
2019-201944215173*75.5015498.05010181
2019-201965315169*75.50119126.89010171
2019-20195437338*73.0071102.8100034
2019-20194421446072.0089161.79010172
2019-201944121497*71.33153139.860201510
2019-2019551277122*69.25146189.721102223
2019-20199943467069.20246140.650303414
2019-2019432684868.0051133.3300090
2019-20199546726*67.007391.7800030
2019-20192216642*66.0061108.1900061
2019-20197622637265.75211124.640302110
2019-201943113184*65.5074177.02010128
2019-20192201316965.5085154.11020145
2019-2019772326106*65.20191170.681102719
2019-201910103448105*64.00326137.421424514
2019-201986319062*63.33140135.710111510
2019-2019110626262.0039158.9701073
2019-201944212343*61.5076161.84000163
2019-2019771363122*60.50220165.001203615
2019-201987417847*59.3397183.50000179
2019-2019110595959.0038155.2601035
2019-20192215847*58.0031187.0900064
2019-2019110585858.0047123.4001080
2019-201997322955*57.25148154.72010265
2019-2019110575757.0035162.8501071
2019-20193215647*56.0032175.0000034
2019-20193311116855.5089124.7101091
2019-2019110545454.005991.5201050
2019-2019110535353.0034155.8801043
2019-201944115956*53.00100159.000101611
2019-20194215330*53.0032165.6200034
2019-2019321524052.0051101.9600050
2019-20192201047352.0064162.5001093
2019-201955120865*52.00129161.240201412
2019-2019110525252.0023226.08010101
2019-2019110515151.0033154.5401070
2019-201933110251*51.0065156.92010122
2019-20193325122*51.0047108.5100030
2019-2019332512951.0041124.3900051
2019-20197713037750.50251120.71030326
2019-20194325019*50.0041121.9500050
2019-2019110505050.0041121.9501042
2019-20198712977549.50200148.50020375
2019-2019331984049.0066148.48000123
2019-20193214932*49.0034144.1100034
2019-2019220974948.5073132.87000103
2019-2019551194115*48.50132146.96110148
2019-20193319749*48.5091106.59000100
2019-20198722419548.20177136.150201912
2019-2019421483548.0041117.0700032
2019-20199429662*48.0067143.2801091
2019-201966314444*48.0089161.79000119
2019-2019210484848.0046104.3400060
2019-2019220958847.5068139.7001047
2019-20197602848447.33181156.900302811
2019-201988418964*47.25102185.290101611
2019-201986218851*47.00169111.24021126
2019-20196612316746.20186124.19030238
2019-2019210464646.0029158.6200061
2019-2019853923146.0077119.4800052
2019-2019210454545.0022204.5400024
2019-2019110454545.0034132.3500023
2019-20193319083*45.0067134.3201183
2019-20194319058*45.0072125.00010122
2019-2019110454545.0034132.3500070
2019-2019882269116*44.83191140.831102610
2019-201966217864*44.5018994.17010230
2019-20195318946*44.5042211.9000169
2019-201999135610644.50239148.951214311
2019-20198822669644.33205129.750201813
2019-20198813107044.28229135.370402214
2019-2019109326591*44.16186142.47031248
2019-20192214437*44.0039112.8200060
2019-20192214438*44.004695.6500040
2019-2019121123969144.00257154.080404614
2019-20193301306343.3379164.55020183
2019-201976217355*43.25138125.36020116
2019-20198712567542.66156164.100203113
2019-201966217055*42.5017597.14010123
2019-201999325459*42.33167152.090111718
2019-20197702958942.14158186.700202027
2019-20192214224*42.004985.7100030
2019-20197702917341.57195149.230302321
2019-20197712497241.50162153.700101712
2019-2019441124107*41.3391136.26101117
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