Batting Highest Career Batting Average IN Zimbabwe

Highest averages in 2018 in All IN Zimbabwe

Highest averages
Player
Span
Mat
Inns
NO
Runs
HS
Ave
BF
SR
100
50
0
4s
6s
2018-2018543184106*184.00180102.22100162
2018-201810103793210*113.28639124.102509416
2018-201822110891*108.0011792.30010100
2018-20183329964*99.0012678.57010131
2018-2018310868686.0010879.6201042
2018-20189548340*83.009587.3600071
2018-20184438147*81.009189.0100060
2018-201855039512879.0041395.64301311
2018-2018107423150*77.00133173.680101416
2018-201855130617276.50152201.311102519
2018-201823114499*72.0023760.75010111
2018-20181011057413852.1865987.102205212
2018-20181821484512749.7092990.953527437
2018-20186434930*49.0045108.8800052
2018-2018442974148.5018353.0000062
2018-20183214848*48.007564.0000121
2018-20187521419147.0014795.91010112
2018-201899232788*46.7138984.060203410
2018-2018331935246.5010390.2901162
2018-20181011145112345.1046896.361303117
2018-20183318979*44.5015457.7901055
2018-201866026215143.6630984.781001610
2018-20181314347914143.5469668.82120437
2018-201810932596743.1630086.33030189
2018-2018107317243*43.00135127.40000134
2018-201865212967*43.0018171.2701081
2018-20183214339*43.0031138.7000051
2018-2018222458169842.9490789.960707525
2018-20187922957942.1440672.66010337
2018-2018991335157*41.8739684.59110413
2018-20184401657641.25143115.38010146
2018-20181817357613441.1489664.281315110
2018-20185502049240.8030966.01010330
2018-201868128276*40.2850156.28021291
2018-2018661199112*39.8024880.24111157
2018-2018101013538639.2248273.23030276
2018-20181620269914938.83111462.74240742
2018-201836386121811938.06129094.4119312322
2018-20181919456880*37.86106153.53021636
2018-201888030211137.7542770.72111314
2018-20181111426353*37.57257102.330101516
2018-2018101013379237.4439485.53020188
2018-201875211237*37.3317364.73000111
2018-20186611856237.0028165.83011147
2018-20186543711*37.004680.4300011
2018-20187702597537.0030285.76020352
2018-20183301095136.3312388.61010111
2018-201888029012636.2536180.33111336
2018-2018101003628436.2045379.910303711
2018-201887121774*36.1631768.45010154
2018-20182426286511336.04106681.143337523
2018-201888028810536.0042567.76120192
2018-201899128411435.5037475.932011610
2018-20189822117735.1630868.50010203
2018-20187702468535.1431777.60020297
2018-20181413431672*35.1147466.66032253
2018-2018121204219435.08380110.780303220
2018-20186323524*35.006950.7200020
2018-201898124510135.0029383.611101113
2018-20182519258412134.3588366.13122659
2018-2018161783056833.8852458.20030274
2018-201887313542*33.7522560.0000072
2018-20182123077613133.73502154.582448848
2018-20181315050612833.7351498.44140647
2018-20181010323499*33.4227086.66021148
2018-20181114143113133.1572759.28122435
2018-20188812326733.1439658.58010222
2018-20182325081812832.72722113.291509039
2018-201810866426*32.0010163.3600050
2018-2018121032235531.8525587.45022156
2018-2018171624437731.6483353.18051414
2018-2018262637278431.6092178.930807419
2018-2018541944831.3375125.3300071
2018-2018101022497631.1241160.58011115
2018-20181113331010431.0066346.75110252
2018-201877118450*30.6623478.63010165
2018-20185601845430.6634453.48010162
2018-20187702126430.2830669.28011220
2018-20189912416730.1236865.48011173
2018-2018107311938*29.7588135.22000142
2018-20189621193529.75115103.4700093
2018-20188802377029.6226290.45010235
2018-201888120750*29.57168123.21010234
2018-201877020515829.2836156.78100283
2018-2018101002916929.1046262.98030232
2018-2018221292729.003778.3700030
2018-2018530863928.6620442.1500070
2018-20186601726328.6623672.88021151
2018-20181111128683*28.6030095.330113110
2018-2018101012578628.55202127.22020269
2018-2018212335627928.1089163.070424612
2018-2018310282828.006841.1700010
2018-20185501408028.0015888.60010101
2018-20185315537*27.5044125.0000042
2018-20181010027212727.2029691.89100246
2018-20188802158426.8731368.69021254
2018-20187701878526.7127667.75021172
2018-20188802115726.3734561.15010191
2018-201899023612326.22223105.821011619
2018-2018330783426.0011070.90000100
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