Records
2019 Records
T20I Matches Records
Averages Batting - Germany

Batting Averages for T20Is in the 2019 - Germany

Batting averages
Player
Span
Mat
Inns
NO
Runs
HS
Ave
SR
100
50
0
Abdul-Shakoor Rahimzei2019-2023262132815915.61104.85-12
Abdul Bashir2023-20231---------
Abdul Stanikzai2022-202255-712414.2080.68--1
Ahmadschah Ahmadzai2021-20211---------
Ahmed Wardak2019-20231263662922.0089.18---
Amir Mangal2019-2020101031424020.28156.04---
V Aritharan2022-20232211912*19.00126.66---
Asad Mohammad2019-202111411254.00100.00---
Azmat Ali2021-202121-171717.0085.00---
SVE Bharathi2020-2023376274*1.7543.75--3
DA Blignaut2021-20232925536247*18.1092.11--1
J Broad2022-20229922886241.14119.50-3-
VB Chikkannaiah2019-20232727257581*23.00100.70-41
Faisal Mubashir2021-20232017636557*33.18101.10-12
Fayaz Khan2021-20239623918*9.75130.00--2
V Ganesan2019-20234337855361*19.06105.53-2-
Ghulam Ahmadi2021-20234113124815*48.00114.28---
Husnain Kabeer2021-202111-555.0083.33---
Israr Khan2021-20212---------
Izatullah Dawlatzai2019-202012322624*26.00200.00---
D Klein2020-20232317512331*10.25126.80--3
CAJ Meschede2019-20195511796744.75155.65-11
M Montgomery2023-202311-131313.0068.42---
Mudassar Muhammad2019-20231010-1793417.9094.70--1
Muslim Yar2019-2023401551913919.10125.65--1
Nooruddin Mujadady2021-20226312816*14.00164.70--1
R Pillai2019-201965128147.0063.63--1
MJ Richardson2019-20232524751161*30.05103.86-2-
Sachin Mandy2022-2023191111273412.70102.41--2
Sahir Naqash2019-202338271136851*23.00132.85-16
Sajid Liaqat2019-2022621151515.00100.00---
A Sarma2019-202154-662816.5085.71---
Shahid Afridi2023-202377-1465320.85169.76-1-
Shoaib Khan2022-20226512476.0075.00--1
H Singh2019-20233228546568*20.21119.84-11
H Srinivasan2019-20218312015*10.0054.05---
Talha Khan2019-20232828553269*23.13103.50-34
J van Heerden2022-2023109327153*45.16120.44-1-
Walter Behr2022-2022851412210.25107.89---
D Weston2019-201966-47187.8387.03--2
Zahid Zadran2023-2023531104*5.0066.66---
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