Batting Highest Career Batting Average

Highest averages in 2016 in All

Highest averages
Player
Span
Mat
Inns
NO
Runs
HS
Ave
BF
SR
100
50
0
4s
6s
2016-2016110173173173.0092188.04100290
2016-201633215576*155.00139111.51020140
2016-2016110137137137.0092148.91100190
2016-201633213671*136.0021563.25010223
2016-20166*5325990*129.5026099.61030307
2016-201666424875*124.00243102.05020294
2016-2016110121121121.0017867.97100202
2016-2016110121121121.00112108.03100200
2016-2016110120120120.0090133.33100132
2016-201643211674*116.0013089.23010121
2016-201612111678116.0019858.58010150
2016-201634311237*112.0015970.44000161
2016-201655322165*110.5031769.71020250
2016-201665322184*110.5028078.92020220
2016-201622110496*104.0011590.43010124
2016-2016231206145103.0035058.85110244
2016-2016663307113*102.3342172.92120341
2016-2016652305151*101.6637780.90110374
2016-2016331202158*101.0022689.38100194
2016-2016110100100100.0012381.3010083
2016-201634129611698.6637878.30120265
2016-2016471584207*97.3373779.24310878
2016-20168103663199*94.7189973.74411846
2016-20162219460*94.0094100.0001095
2016-20165329355*93.0015261.18010110
2016-20163329276*92.0025536.07010140
2016-20162219068*90.0015558.0601062
2016-20161411826980*89.6631485.66030345
2016-2016431178122*89.0020487.25100197
2016-201610104520121*86.6654196.11231611
2016-2016332866186.0051168.6201091
2016-2016110848484.0012666.66010130
2016-201666416691*83.00176+93.75010200
2016-20161918698712582.25928106.353609436
2016-201632016410682.00136120.58110213
2016-20163421639481.5019981.90010184
2016-20163328042*80.0070114.2800070
2016-20162218068*80.0012365.0401092
2016-2016596215371523579.04403892.001122136360
2016-201666323567*78.3324894.75020145
2016-201667054814578.2879069.36310721
2016-201633115681*78.0021472.89020181
2016-20163327863*78.0015251.3101060
2016-201620205116919077.93119298.0753014212
2016-2016121774877.0014752.3800090
2016-20161815484710377.00108478.13190798
2016-20162437748*77.008689.53000101
2016-20163311538876.5017786.44021210
2016-2016221754075.008291.4600023
2016-20168132822359*74.72190543.142301093
2016-2016771444108*74.0060074.00140443
2016-201633114699*73.00132110.60010213
2016-20163327370*73.008783.9001064
2016-2016915294518272.69152861.8427012510
2016-2016182341378314*72.52227260.654501755
2016-201634214564*72.5023461.96010241
2016-2016593435109*72.5084951.23131461
2016-201633114570*72.50116125.00020101
2016-2016222971573113*71.50289054.425901558
2016-201613852148071.3340353.10020234
2016-2016441214168*71.33190112.63100254
2016-20161514657095*71.2584767.29051680
2016-201655314258*71.00110129.09020143
2016-201666321177*70.3322792.95031116
2016-20166522118370.3335259.94020261
2016-201610113555258*69.3766283.83201745
2016-20165766938*69.0017738.9800091
2016-2016333281653137*68.87186888.4941221874
2016-2016763205103*68.3326377.94110144
2016-2016122241227150*68.16229453.4847111019
2016-2016241204105*68.0031464.96110232
2016-201644120395*67.66201100.99020238
2016-201655313560*67.50103131.06010112
2016-201655220189*67.0035257.10010125
2016-20164326736*67.0050134.0000082
2016-20165436625*66.0060110.0000051
2016-2016321664866.007390.4100044
2016-2016210666666.0010761.6801090
2016-2016221664466.008082.5000071
2016-201612013212466.0013597.77100184
2016-20169326635*66.0016739.5200081
2016-201666319754*65.6621492.05020186
2016-20164402619965.2536771.11030342
2016-20164326545*65.0062104.8300070
2016-20167326538*65.0064101.5600062
2016-20166641303365.0095136.8400075
2016-2016641195105*65.0032360.37111140
2016-20163326545*65.0055118.1800134
2016-20163326533*65.0051127.4500050
2016-2016253231880256*64.82342754.8568022614
2016-201626365200720564.74285870.2279128312
2016-201612012912264.5019267.18100190
2016-2016162251076216*63.29157568.3145112514
2016-2016110636363.0040157.50010100
2016-2016110636363.0011753.8401091
2016-2016461315105*63.0049563.63110343
2016-20161513456515362.77435129.882306722
2016-201633347168819962.51202683.31510318341
2016-20166546224*62.0055112.7200060
2016-20164326242*62.007483.7800022
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