Averages Bowling - Panadura Sports Club

Bowling Averages for FC+LA+T20s in the 2019 - Panadura Sports Club

Bowling averages
Player
Span
Mat
Inns
Balls
Mdns
Runs
Wkts
BBI
Ave
Econ
SR
5
10
Ct
St
AMCD Abeysinghe2019-201955216218163/1830.165.0236.0----
Abhishek Gupta2019-2019216-3---3.00---61
H Anjana2019-20191-0-----------
Azhar Attari2019-20191124-26---6.50-----
KBAK Basnayake2019-201919112-21---10.50---16-
V Chathuranga2019-201924124-1711/1717.004.2524.0--276
NHG Cooray2019-20195-0---------2-
C de Silva2019-201954173315395/4117.005.3019.21-2-
A Dilhara2019-20191130-4044/4010.008.007.5----
S Disanayaka2019-201933120211364/3118.835.6520.0--1-
DTM Fernando2019-201915155226432132/1233.234.9640.1--7-
J Fernando2019-20191-0---------2-
MBND Fernando2019-20194413229411/3294.004.27132.0--2-
J Inuwara2019-20191-0-----------
Imranullah Aslam2019-20198104561430183/2837.623.9657.0--3-
MM Jalill2019-201953108-9432/2531.335.2236.0--1-
TL Jayasinghe2019-201916342-23---3.28---6-
TMUS Karunaratne2019-2019552584195116/6717.724.5323.41-6-
Kashif Naved2019-2019103168592---3.28---5-
A Kaushalya2019-2019813103128673194/5835.423.9154.2--3-
NM Kavikara2019-2019101394416597307/3219.903.7931.41-8-
N Lakshan2019-201999234318431/1361.334.7178.0--1-
T Maduranga2019-20191093602332124/1527.665.5330.0--4-
WS Madushan2019-201957348922183/5927.623.8143.5--1-
BMDK Mendis2019-201955214515053/3330.004.2042.8----
UA Morais2019-20192212-22---11.00-----
JRG Namal2019-20195348-51---6.37---3-
K Nanayakkara2019-201923324423694/10626.224.3736.0--1-
NACJ Nanayakkara2019-20191614297231093/2034.446.2633.0--4-
TJV Peiris2019-20191-0-----------
MVD Perera2019-2019182195617793305/4126.434.9731.81-9-
PCR Perera2019-20191-0-----------
R Perera2019-20191-0-----------
S Ridma2019-20191-0---------1-
Shahzad Ali2019-20195-0---------2-
M Shilmi2019-20191-0-----------
M Silva2019-201915174857380162/1823.754.7030.3--6-
KPSAM Weerasinghe2019-20191821129026909326/7428.404.2240.31-7-
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