Averages Batting - India Under-19s (Young Cricketers)

Batting Averages for YODIs in the 2020 - India Under-19s (Young Cricketers)

Batting averages
Player
Span
Mat
Inns
NO
Runs
HS
Ave
SR
100
50
0
Aaradhya Yadav2021-202143-705023.3367.96-1-
M Abhishek2023-202342-666233.0080.48-1-
Adarsh Singh2023-2023441190112*63.3393.5911-
Akash Singh2020-202082211*-14.28---
AV Ankolekar2020-20207527555*25.0081.52-1-
Aravelly Avanish2023-202343-18116.0058.06--1
DB Bana2022-2022653632231.50190.90---
RA Bawa2021-20221082343162*57.1684.901-1
SS Dhas2023-202343-765825.33100.00-1-
YV Dhull2021-202287128111046.8384.38111
PK Garg2020-2020106-19911033.1688.8311-
AN Gautam2022-20222111212*-133.33---
RS Hangargekar2021-2022105110139*25.25183.63--1
Harnoor Singh2021-20221010-2728827.2073.51-21
S Hegde2020-20203213526*35.00100.00---
YBK Jaiswal2020-202010103497105*71.0080.55151
DC Jurel2020-202085125510163.7578.9412-
Kartik Tyagi2020-202082-110.5016.66--1
AA Kulkarni2023-202344111570*38.3373.71-1-
K Kushagra2020-2020331634731.5090.00---
R Limbani2023-20234211811*18.0060.00---
SS Mishra2020-202082-743.5070.00---
PS Moliya2023-202321-191919.0042.22---
Musheer Khan2023-20234421395069.5078.97-1-
VK Ostwal2021-202210314328*21.50122.85---
SK Pandey2023-202342198*9.0075.00---
RM Patel2023-202322-653.0028.57---
V Patil2020-202041-222.0040.00---
A Raghuvanshi2021-20221010138514442.7781.91122
C Rakshann Readdi2020-202021166*-54.54---
SK Rasheed2021-20228823349455.6669.58-3-
Ravi Bishnoi2020-2020931353017.5087.50---
R Ravi Kumar2021-2022102211*-20.00---
SG Rawat2020-2020431693934.50101.47---
UP Saharan2023-202344-816020.2548.79-11
GA Sangwan2022-20221---------
DA Saxena2020-2020883291128*58.2074.6112-
Siddarth Yadav2022-202211-666.0066.66---
N Sindhu2021-202298217250*28.6682.29-1-
KS Tambe2021-2022108213735*22.8385.62---
NT Tilak Varma2020-2020107-2677038.1470.07-2-
N Tiwari2023-2023421868.0080.00---
VS Vats2022-20221---------
SA Veer2020-20208521887162.6696.90-11
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