Records
2016 Records
FC+LA+T20 Matches Records
Averages Bowling - vs South Africa

Players - vs South Africa

Bowling averages
Player
Span
Mat
Inns
Balls
Mdns
Runs
Wkts
BBI
Ave
Econ
SR
5
10
Ct
St
GJ Bailey2016-20162-0---------1-
SJ Benn2016-201633162-127---4.70---1-
SM Boland2016-20161-0-----------
TA Boult2016-2016234281520353/5240.602.8485.6--2-
DAJ Bracewell2016-2016233201717031/1956.663.18106.6--2-
CR Brathwaite2016-201633168214352/3528.605.1033.6--1-
DM Bravo2016-20163-0-----------
J Charles2016-20163-0---------2-
NM Coulter-Nile2016-2016116023822/3819.003.8030.0--1-
JP Faulkner2016-20162142-32---4.57---1-
AJ Finch2016-20163230-24---4.80-----
ADS Fletcher2016-2016316-9---9.00-----
ST Gabriel2016-2016113011733/175.663.4010.0----
MJ Guptill2016-2016216-5---5.00---2-
JR Hazlewood2016-20163211837253/5214.403.6623.6--1-
JO Holder2016-201633156212121/3360.504.6578.0--1-
UT Khawaja2016-20163-0-----------
TWM Latham2016-20162-0-----------
NM Lyon2016-20161160-4011/4040.004.0060.0----
MR Marsh2016-20163278-70---5.38---1-
GJ Maxwell2016-20162118-1522/157.505.009.0----
SP Narine2016-201633179-10196/2711.223.3819.81-1-
HM Nicholls2016-20162-0---------1-
KA Pollard2016-20163266-7522/6437.506.8133.0--1-
D Ramdin2016-20163-0---------3-
MN Samuels2016-20163-0-----------
MJ Santner2016-20162215038432/2228.003.3650.0----
SPD Smith2016-20163-0---------1-
TG Southee2016-2016234441424053/4648.003.2488.8--1-
MA Starc2016-20162266-5133/4317.004.6322.0----
JE Taylor2016-20162290-10821/3654.007.2045.0--1-
LRPL Taylor2016-20162-0---------2-
MS Wade2016-20163-0-----------
N Wagner2016-2016233841315195/8616.772.3542.61---
DA Warner2016-20162-0-----------
BJ Watling2016-20162-0---------6-
KS Williamson2016-20162-0---------3-
A Zampa2016-201622120-9843/5224.504.9030.0----
Adjust:Most recentPast weekPast MonthPast year4 years10 years25 years
Performances in matches that overlap decades are credited to the year in which they occurred - this results in some unknown data, especially in regard to bowling figures
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