Averages Batting - vs Jersey

Batting Averages for List A in the 2018 - vs Jersey

Batting averages
Player
Span
Mat
Inns
NO
Runs
HS
Ave
SR
100
50
0
F Achelam2022-2022221352135.0068.62---
Aftab Hussain2019-20191---------
Ahmed Nisar2022-202211-121212.0085.71---
Aizaz Khan2019-2022331603930.0088.23---
Ali Hasan2022-202211-------1
Amari Ebbin2022-202211-111.0016.66---
Babar Hayat2022-202222-543927.0067.50---
OGL Bascome2019-201911-555.0022.72---
GK Berg2019-202233-15115.0038.46--1
A Bhagwat2019-20191---------
SR Bhudia2019-202221-101010.0047.61---
Bilal Hassun2019-2022211-0*-----
DL Brangman2019-201911199*-64.28---
S Bremar2022-202222-202010.0042.55--1
Z Burgess2019-20223312322*11.5056.09--1
RSJ Burrows2022-202211-555.0026.31---
M Campopiano2022-202211-999.0034.61---
Charles Trott2022-202211-454545.0095.74---
ZH Cheema2019-201911111*-33.33---
JT Darrell2022-2022221111.0012.50---
L di Giglio2019-201911-------1
Ehsan Khan2019-202232-291814.5067.44---
TS Fray2019-202222-322616.0062.74---
AR Gandhi2022-202211-------1
DM Gondaria2019-201911-202020.0083.33---
A Gorawara2019-202222-673733.5059.29---
Haroon Arshad2019-202232-19199.5055.88--1
E Hasahya2022-202211-444.0040.00---
Hasnat Ahmed2022-202211-------1
Hassan Khan Mohammad2019-20191---------
KC Hodsoll2019-201911-------1
DAW Hollis2022-202211-999.0050.00---
Jaspreet Singh2022-202222-643.0050.00---
CAW Jeffers2022-202222-864.0027.58---
MO Jones2022-202211144*-80.00---
CJPF Kalugamage2022-202211-666.00120.00---
IA Karim2019-20223317653*38.0045.23-1-
K Kekulawala2022-202211-444.0033.33---
C Kyewuta2022-202211-------1
KS Leverock2019-202233-856328.33137.09-11
NA Maiolo2019-20222212419*24.0050.00---
T Manders2019-201911-------1
HJ Manenti2022-202211-191919.0065.51---
Manpreet Singh2019-202222-342617.0053.12---
B Masaba2019-202222-484024.0046.15---
SS McKechnie2022-20221---------
GP Meade2019-202233-764225.3379.16---
J Miyagi2022-202211-111.0050.00---
Mohammad Ghazanfar2022-202221-------1
AJ Mosca2022-202211-105105105.00110.521--
J Mosca2022-202211-262626.00100.00---
D Muhumuza2022-20222229186*-100.00-1-
RG Mukasa2019-201911-161616.0053.33---
DM Nakrani2019-20223318279*41.0095.34-11
SO Ngoche2019-202231-555.0023.80---
Nizakat Khan2019-2022331151127*75.5084.831--
F Nsubuga2019-202232-1095.0076.92---
AA Obanda2022-202211-111.0025.00---
CO Obuya2019-202232-251412.5064.10---
NM Odhiambo2022-202222-422.0021.05---
NN Odhiambo2019-20191---------
LN Oluoch2019-20191---------
LN Onyango2019-20191---------
E Otieno2022-202211-666.0066.66---
A Otwani2019-202222-685634.0078.16-1-
N Patel2019-201911-111.0050.00---
RB Patel2019-202233-836427.6668.59-11
RN Patel2019-202233111999*59.5083.80-1-
RR Patel2019-2022331226101*113.0091.8611-
BBJL Perera2019-202222-484724.0076.19---
JE Pitcher2019-201911-444.0023.52---
Rakibul Hasan2019-201911-888.0042.10---
ISW Ranepura2022-2022111-0*-----
DMW Rawlins2019-201911-313131.00114.81---
Rehman Abdul2019-201911-363636.0064.28---
Riazat Ali Shah2019-202233-713723.6678.88---
DDE Richardson2022-202211-------1
J Richardson2022-202211-------1
EB Ringera2022-202221-212121.0063.63---
MJ Ross2019-201911-777.0033.33---
D Sabir2022-202222-322916.0042.66---
D Samarawickrama2022-202211-101010.0055.55---
S Ssesazi2022-202222-845042.00100.00-1-
KD Shah2019-20223318159*40.5074.31-1-
Shahid Wasif2019-201911-131313.0033.33---
A Shukla2022-202221144*-50.00---
S Singh2022-20221112222*-62.85---
NL Smith2019-202222-17128.5038.63---
PIE Smith2019-201911-222.0018.18---
S Smith2019-201911-777.0058.33---
H Ssenyondo2019-20222---------
JM Stovel2022-202211-------1
Sukhwinder Singh2022-202211-------1
Tanzeel Sheikh2022-202211-111.0014.28---
Z Tomlinson2022-202211-111.004.54---
S Ukani2019-201911-474747.0083.92---
Vraj Patel2022-20222111111*-100.00---
C Waiswa2019-201911-------1
K Waiswa2022-202211-141414.0029.78---
Waqas Barkat2019-201911-242424.0085.71---
Yasim Murtaza2022-2022221133107*133.00125.471--
Zeeshan Ali2022-202222-221811.0070.96---
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