Batting Highest Career Batting Average IN United Arab Emirates

Highest averages in 2018 in All IN United Arab Emirates

Highest averages
Player
Span
Mat
Inns
NO
Runs
HS
Ave
BF
SR
100
50
0
4s
6s
2018-2018552317111*105.6633993.511202513
2018-2018432935393.0011481.5701052
2018-20182217942*79.0047168.08000131
2018-20184437456*74.009974.7401051
2018-20181211637079*74.00252146.820302023
2018-2018652219117*73.00170128.821101710
2018-2018662290121*72.5035581.69120255
2018-20186327028*70.008087.5000032
2018-2018331140106*70.0085164.70101185
2018-201855034212768.40335102.08200446
2018-2018110676767.0013549.6201070
2018-20182216767*67.0047142.5501190
2018-201834026514166.2562142.67110220
2018-201823218844141*64.9293889.973306618
2018-201844025212663.0031181.02110283
2018-2018913174814062.33142752.41341693
2018-201855030214460.4037281.18110245
2018-2018110606060.006690.9001051
2018-2018110606060.008372.2801050
2018-201887417780*59.0078226.920211516
2018-2018762234120*58.5024495.901001810
2018-201848234712557.8384041.30130333
2018-201813655717*57.0035162.8500113
2018-201857134113656.8357259.61111325
2018-201845028416156.8034881.60120387
2018-2018441170107*56.6619189.00100163
2018-20184502759555.00271101.47030299
2018-201899427478*54.80217126.260202111
2018-201844021610254.0023492.30111262
2018-20189933247754.00132245.450202133
2018-201835121290*53.0045946.18021210
2018-20182201059252.5012683.33010141
2018-2018221523552.0026200.0000063
2018-20182201037551.50103100.00010190
2018-2018110515151.006085.0001060
2018-201899330611751.0045567.25110175
2018-20189435017*50.0028178.5700034
2018-2018110494949.007268.0500061
2018-20186521464448.6620571.21000102
2018-2018912153313948.4587760.77130482
2018-2018692335126*47.8580141.82122281
2018-20181515546697*46.6056282.91031355
2018-201834018514446.2530660.45101221
2018-2018220927346.0013170.2201071
2018-2018110464646.008554.1100050
2018-2018303341320127*45.51167178.99112410623
2018-201859040813445.33100840.47130341
2018-2018110454545.0040112.5000023
2018-20184401808745.0025770.03020151
2018-2018110454545.0034132.3500033
2018-20181211431510045.00247127.531102715
2018-2018151363075143.85244125.810102510
2018-20186621756043.7521880.27020126
2018-20181418078316843.5097979.97321845
2018-201855117454*43.5027563.27010143
2018-201844017313943.2518991.53101202
2018-2018110424242.006663.6300050
2018-201867316767*41.7521776.95011152
2018-20181616354290*41.69353153.540404836
2018-20188913326441.50237140.080303718
2018-201898224973*41.50245101.63020228
2018-20183318372*41.5011174.7701070
2018-20181012336286*40.2247176.85032262
2018-20181212239568*39.50201196.510202734
2018-2018111424728339.3382657.14040395
2018-20182213929*39.0030130.0000041
2018-2018811234277*38.0080742.37031230
2018-20181212430387*37.87178170.220103017
2018-20182727390112437.54768117.311708952
2018-2018110373737.004680.4300041
2018-2018220745937.0049151.0201082
2018-2018210373737.0028132.1400030
2018-201855211042*36.6612190.9000083
2018-20185712187036.3340254.22020230
2018-20188712137835.50140152.140201911
2018-20181014049014735.00111044.14211378
2018-20183301055235.0056187.50010116
2018-20181511327512534.37273100.731001514
2018-2018110343434.0033103.0300032
2018-20186621363934.00129105.42000133
2018-20182427574112633.6886385.861336919
2018-201810912696333.62215125.110312710
2018-201857023416233.4243953.30101221
2018-20181318156810433.41108752.25122617
2018-20183028769684*33.14445156.400425544
2018-2018232145627833.0557098.590303315
2018-2018210333333.0026126.9200040
2018-2018131203968033.00239165.690413232
2018-2018331663733.006798.5000051
2018-2018292666469432.3080080.75031535
2018-2018330965832.0088109.0901074
2018-20181711615936*31.8086184.880011213
2018-20182020160394*31.73394153.040515534
2018-201888122193*31.5729973.91011141
2018-201877118872*31.33163115.33010197
2018-2018131213419231.00303112.540312717
2018-2018110313131.0029106.8900030
2018-2018231624931.0015141.05000100
2018-20184401224730.5013391.72001154
2018-20186401225130.5019064.2101082
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