Batting Highest Career Batting Average IN Sri Lanka

Highest averages in 2016 in All IN Sri Lanka

Highest averages
Player
Span
Mat
Inns
NO
Runs
HS
Ave
BF
SR
100
50
0
4s
6s
2016-2016221211145*211.0094224.4611-2113
2016-201633215092*150.0092163.04-2-215
2016-201612111678116.0019858.58-1-150
2016-2016231206145103.0035058.8511-244
2016-201611-102102102.0075136.001--133
2016-2016331177105*88.5018396.7211-135
2016-201611-848484.0012666.66-1-130
2016-20162218068*80.0012365.04-1-92
2016-2016693445116*74.1651386.7414-528
2016-2016593435109*72.5084951.23131461
2016-20166522118370.3335259.94-2-261
2016-20165326946*69.0010168.31---43
2016-2016122241227150*68.16229453.4847111019
2016-201665127090*67.5035775.63-2-211
2016-20164326736*67.0050134.00---82
2016-2016321664866.007390.41---44
2016-201612-13212466.0013597.771--184
2016-201644-2619965.2536771.11-3-342
2016-201633-19510765.0024778.9411-194
2016-201611-656565.009965.65-1-70
2016-20164421307565.0016280.24-1-84
2016-201635-32416164.8066448.7911-320
2016-2016461315105*63.0049563.6311-343
2016-20164411857761.66154120.12-2-273
2016-20165521845961.33135136.29-1-226
2016-20161216148*61.0015040.66---50
2016-2016815277022559.23135556.82311892
2016-201648141310859.0096842.6612-330
2016-20164325956*59.006788.05-1131
2016-201644-23111357.7533469.1611-191
2016-201645122812357.0047947.591--251
2016-201655-28313056.6029496.25121264
2016-2016152221128225*56.40213952.73352923
2016-201621273134031855.83211863.2646314314
2016-201611-555555.009061.11-1-71
2016-201635-27413054.8052352.3911-381
2016-20163311095354.5012785.82-1-73
2016-2016711248514753.8874065.541214410
2016-2016441161104*53.66103156.311--176
2016-201620271137721252.96181575.8638114913
2016-201611133528181*52.8063982.622125111
2016-201623110578*52.5031733.12-1-110
2016-201617264115014952.27180863.604521351
2016-20161215250*52.0040130.00-1-25
2016-201646-3107651.6650861.02-5-402
2016-2016481357118*51.0067752.7313-401
2016-2016421512751.005691.07---51
2016-2016221513851.006183.60---50
2016-2016712-61121750.9198362.153-2717
2016-20167914067950.7568159.61-4-395
2016-201655-2527850.4029086.89-3-253
2016-201634-20113050.2543046.741--290
2016-20163612496549.8045854.36-3-242
2016-201631414184215049.78225881.57412120138
2016-201618253108711849.40196055.453811028
2016-2016482296148*49.3347961.7911-342
2016-20161220288411049.11154557.2128-9512
2016-20164319877*49.0010791.58-1-91
2016-201633-1469048.6618678.49-1-171
2016-20164612366147.2044253.39-3-244
2016-201624-1889447.0022982.09-1-321
2016-201645-23312746.6030376.89112342
2016-20162214625*46.0031148.38---34
2016-201611-464646.0040115.00---71
2016-20164511835745.7541244.41-1-191
2016-2016710331978*45.5750463.29-3-435
2016-201634-1829145.5020688.34-2-281
2016-201620251108917245.37137279.3735-12126
2016-20163214536*45.007262.50---40
2016-201632-906045.0010288.23-1-71
2016-20163318956*44.509098.88-1-151
2016-20162229797913244.50112087.414319147
2016-2016172511059158*44.12112294.3837-15211
2016-20163324420*44.006270.96---31
2016-201621292118018343.701125104.8829115214
2016-201633-1315543.6673179.45-2-611
2016-201669-39211943.5570155.9213-351
2016-201611-434343.0034126.47---70
2016-20161210425612042.66249102.811112011
2016-201615172640104*42.66114855.7414-428
2016-201623292115019142.59139282.6126313123
2016-2016442854242.5010481.73---112
2016-201612164509165*42.4181362.601--3717
2016-2016810-41910541.9047688.0213-5010
2016-201645116577*41.2519783.75-2-204
2016-201612-826441.0015154.30-1-80
2016-201623303110634240.96122090.6523311036
2016-2016916-65114040.6898466.1523-7614
2016-20162411225140.6616673.49-1-123
2016-201633-1227040.66110110.90-1-164
2016-20161411332512140.6266049.241-1361
2016-20163318138*40.509288.04---120
2016-20163612029940.4028870.13-21234
2016-20161015156417240.2898857.08221805
2016-20162023284413240.19128865.5224-688
2016-201626364128316040.09193266.4028413917
2016-2016331805140.008989.88-1173
2016-20161823188016840.0090697.132619617
2016-201624255799131*39.95794100.623115358
2016-201644-1586739.5022769.60-1-215
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