Averages Batting - Zimbabwe

Batting Averages for All in the 2016 - Zimbabwe

Batting averages
Player
Span
Mat
Inns
NO
Runs
HS
Ave
SR
100
50
0
G Banda2016-201611-101010.0066.66---
RW Chakabva2016-201612-11115.5025.00--1
BM Chapungu2016-201611-292929.00111.53---
BB Chari2016-2016710-1648016.4044.32-1-
TL Chatara2016-201693-1484.6660.86---
CJ Chibhabha2016-20161920-3406017.0050.89-21
E Chigumbura2016-20162118322154*14.7392.46-13
MT Chinouya2016-2016242110.502.94--1
TS Chisoro2016-201614966742*22.33100.00--1
AG Cremer2016-201626234359102*18.8945.21112
CR Ervine2016-20161014155214642.4657.26142
J Ives2016-201622-261513.0086.66---
LM Jongwe2016-201676-30125.00103.44--2
TS Kamunhukamwe2016-201611-222.0050.00---
N Madziva2016-201610732410*6.0045.28--2
R Magarira2016-20161---------
T Maruma2016-20162214023*40.0095.23---
TP Maruma2016-201622-773.5087.50--1
H Masakadza2016-20162730289511031.9693.52151
SW Masakadza2016-2016221281528.0090.32---
WP Masakadza2016-20161162286*7.0071.79---
WT Mashinge2016-201622-291614.50120.83---
PS Masvaure2016-201624-554213.7529.72--1
B Mavuta2016-201611-191919.00135.71---
TMK Mawoyo2016-201636-1614526.8336.92---
PJ Moor2016-2016262735317922.1274.36-33
CB Mpofu2016-201655124206.0064.86--1
CT Mumba2016-20163511510*3.7516.12---
K Munyede2016-201611133*-150.00---
T Mupariwa2016-201621-111.0011.11---
R Murray2016-201611-343434.00154.54---
TK Musakanda2016-201611-363636.0097.29---
CT Mutombodzi2016-201622-331.5033.33--1
R Mutumbami2016-20161919233550*19.7093.31-11
T Muzarabani2016-2016832656.0046.15---
R Ngarava2016-2016111-0*-----
J Nyumbu2016-2016121888.0025.80---
T Panyangara2016-2016752552518.33119.56---
M Shumba2016-201611-111.0011.11---
V Sibanda2016-20161514-3986428.4291.49-3-
Sikandar Raza2016-2016242624107717.0870.32-21
DT Tiripano2016-20162119624449*18.7639.29--2
BV Vitori2016-201641-------1
MN Waller2016-20162325142449*17.66110.99--4
NR Waller2016-201611-777.0058.33---
SC Williams2016-20162022-49911922.6874.47121
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