Averages Batting IN South Africa

Batting Averages for T20Is in the 2017 IN South Africa

Batting averages
Player
Span
Mat
Inns
NO
Runs
HS
Ave
SR
100
50
0
HM Amla2017-201722-888544.00160.00-1-
F Behardien2017-201755310636*53.00155.88---
LD Chandimal2017-2017331332216.5086.84---
TB de Bruyn2017-201722-261913.00162.50---
Q de Kock2017-201711-595959.00134.09-1-
DM de Silva2017-201733-482716.0097.95---
ST de Silva2017-201732-331.5042.85--1
AB de Villiers2017-201733-1326344.00153.48-1-
N Dickwella2017-201733-1336844.33156.47-1-
JP Duminy2017-201722-17138.5094.44---
N Pradeep2017-20171---------
R Frylinck2017-20172---------
DAS Gunaratne2017-20173322411*24.00141.17---
BE Hendricks2017-20172---------
RR Hendricks2017-201711-414141.00120.58---
Imran Tahir2017-201731-111.0016.66---
Imrul Kayes2017-201722-16108.00106.66---
HG Kuhn2017-201722-392919.50150.00---
KMDN Kulasekara2017-2017311-0*-----
RAS Lakmal2017-20171---------
Litton Das2017-201711-999.00128.57---
Mahmudullah2017-201722-272413.50112.50---
AD Mathews2017-20172216054*60.00103.44-1-
Mehidy Hasan Miraz2017-201722-271413.50150.00---
BKG Mendis2017-201733-742.33100.00---
DA Miller2017-2017552178101*59.33195.601--
Mohammad Saifuddin2017-20172216239*62.00116.98---
M Mosehle2017-20174415432*18.00174.19---
Mushfiqur Rahim2017-201722-15137.50115.38---
L Ngidi2017-201731122*-66.66---
WD Parnell2017-201733263*6.0060.00---
D Paterson2017-20172---------
AM Phangiso2017-201741-131313.0068.42---
AL Phehlukwayo2017-201751-------1
S Prasanna2017-20173315137*25.50212.50---
D Pretorius2017-20171---------
Rubel Hossain2017-201722232*-60.00---
Sabbir Rahman2017-201722-241912.00114.28---
PADLR Sandakan2017-20172---------
Shafiul Islam2017-201711-111.0033.33---
Shakib Al Hasan2017-201722-15137.50125.00---
JT Smuts2017-201733-361912.00120.00---
Soumya Sarkar2017-201722-914745.50156.89---
Taskin Ahmed2017-201722-442.00100.00--1
WU Tharanga2017-201711-202020.00181.81---
I Udana2017-20172---------
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