Records
2016 Records
Minor T20 Matches Records
Bowling Best Career Strike Rate IN India

Best strike rates in 2016 in Minor T20s IN India

Best strike rates
Player
Span
Mat
Overs
Mdns
Balls
Runs
Wkts
BBI
Ave
Econ
SR
4
5
10
Sumeet Verma (HPCA)
2016-201622.0-12533/51.662.504.00---
LM Kasperek (NZ-W)
2016-201613.2-201244/123.003.605.001--
A Mukund (TP)
2016-201650.5-5211/22.002.405.00---
DJ Bravo (WI)
2016-201624.0-242144/215.255.256.001--
Imad Wasim (PAK)
2016-201614.0-242544/256.256.256.001--
KM Beams (AUS-W)
2016-201613.0118933/93.003.006.00---
FC Leydon-Davis (NZ-W)
2016-201623.0-181933/196.336.336.00---
NS Rajagopal (CtyJr)
2016-201612.0-12722/73.503.506.00---
AK Rana (HPCA)
2016-201612.0-121122/115.505.506.00---
Amir Ali (OMA)
2016-201611.0-6811/88.008.006.00---
A Paul (KER-W)
2016-201641.0-6311/33.003.006.00---
RR Rossouw (SA)
2016-201621.0-61311/1313.0013.006.00---
PM Seelaar (NED)
2016-201621.0-6711/77.007.006.00---
SPD Smith (AUS)
2016-201611.0-61111/1111.0011.006.00---
JL Gunn (ENG-W)
2016-201634.1-252944/127.256.966.251--
Rumana Ahmed (BAN-W)
2016-201628.0-482174/123.002.626.851--
HC Knight (ENG-W)
2016-201636.0-362853/135.604.667.20---
HH Pandya (IND)
2016-201626.0-366153/3612.2010.167.20---
RM Farrell (AUS-W)
2016-201614.0-241833/186.004.508.00---
JR Hazlewood (AUS)
2016-201614.01241333/134.333.258.00---
AV Lalcheta (OMA)
2016-201614.0-242633/268.666.508.00---
AF Milne (NZ)
2016-201614.01242633/268.666.508.00---
SR Rai (Assam)
2016-201614.0-241433/144.663.508.00---
DJ Willey (MCaXI)
2016-201614.0-243533/3511.668.758.00---
AJ Tye (AUS)
2016-201612.5-173522/3517.5012.358.50---
R Sonu Yadav (KK)
2016-2016616.0-96112114/2210.187.008.722--
OU Ranasinghe (SL-W)
2016-201625.5-354144/1410.257.028.751--
SV Lazars (BLARY)
2016-201646.0-363243/218.005.339.00---
TS Hasabnis (MAHWM)
2016-201673.0-182622/1613.008.669.00---
SW Bates (NZ-W)
2016-201623.0-182222/2211.007.339.00---
VJ Kingma (NED)
2016-201613.0-183022/3015.0010.009.00---
S Rath (ODH-W)
2016-201623.0-181622/168.005.339.00---
M Silambarasan (DD)
2016-201613.0-181722/178.505.669.00---
IS Sodhi (NZ)
2016-201613.0-181922/199.506.339.00---
LV van Beek (NED)
2016-201623.0-182422/2412.008.009.00---
K Wadhwani (MYSW)
2016-201613.01181622/168.005.339.00---
C Jhansi Lakshmi (AP-W)
2016-2016512.2-744583/65.623.649.25---
SJ Benn (WI)
2016-201628.0-486753/3713.408.379.60---
AU Rashid (ENG/MCaXI)
2016-201628.0-484853/159.606.009.60---
S Shinde (BGAVI)
2016-201638.0-487052/3014.008.759.60---
NT Kohale (VB-W)
2016-201625.0-301733/135.663.4010.00---
SN Thakur (MCaXI)
2016-201625.0-305332/3417.6610.6010.00---
W Antony Dhas (CSG)
2016-2016924.0-144174144/912.427.2510.281--
SA Khadir (BIJA)
2016-2016615.3-9311593/1812.777.4110.33---
A Mukunthan (CSG)
2016-201639.0-547655/1715.208.4410.80-1-
S Sajana (KER-W)
2016-201649.0-543754/107.404.1110.801--
A Mithun (BIJA)
2016-2016720.02120138113/212.546.9010.90---
A Shrubsole (ENG-W)
2016-2016311.0-664464/177.334.0011.001--
A Prabhakaran (TN-W)
2016-2016413.0-785774/178.144.3811.141--
RG Tank (RAJWM)
2016-201649.2-564152/88.204.3911.20---
C Ganapathy (KK)
2016-2016620.51125141113/2312.816.7611.36---
A Sakuja (BGAVI)
2016-2016519.0-114109103/1610.905.7311.40---
Fatima Jaffer (MUM-W)
2016-2016619.1-11556103/75.602.9211.50---
A Sinha (BGAVI)
2016-201623.5-234122/2920.5010.6911.50---
SL Pujare (GUJ-W)
2016-2016515.3-939684/712.006.1911.621--
J Suchith (MYSW)
2016-2016830.01180194154/2612.936.4612.001--
RS Chavan (GOA-W)
2016-2016726.0-156103133/87.923.9612.00---
TN Pathan (BA-W)
2016-2016624.0314471123/65.912.9512.00---
IG Anil (BLARY)
2016-2016822.0-132168113/1515.277.6312.00---
Preeti Bose (HRYWM)
2016-2016520.0-12050104/85.002.5012.001--
KV Chawarkar (VB-W)
2016-2016416.0-966583/168.124.0612.00---
RE Ekka (JHK-W)
2016-2016412.02723164/35.162.5812.001--
V Mahesh Kavya (HYDWM)
2016-2016412.0-724762/107.833.9112.00---
CK Akshay (BGAVI)
2016-2016710.0-607353/2114.607.3012.00---
S Bharadwaj (BGAVI)
2016-201628.0-485543/1213.756.8712.00---
Mohammed Shami (IND)
2016-201628.0-486742/3016.758.3712.00---
RJW Topley (ENG)
2016-201628.0-486542/2616.258.1212.00---
JJ Bumrah (IND)
2016-201626.0-365732/5119.009.5012.00---
KJ Garth (IRE-W)
2016-201626.0-362733/169.004.5012.00---
S Thiyagarajan (MSG)
2016-201656.0-365332/1417.668.8312.00---
MRJ Watt (SCOT)
2016-201626.0-364533/2215.007.5012.00---
Adithya Arun (DD)
2016-201614.0-242822/2814.007.0012.00---
Arshdeep Singh (BIJA)
2016-201674.0-242922/1914.507.2512.00---
TL Chatara (ZIM)
2016-201614.0-243322/3316.508.2512.00---
N Gangta (HPCA)
2016-201624.0-241722/178.504.2512.00---
NL McCullum (NZ)
2016-201624.0-242522/2512.506.2512.00---
A Mehmood (HKG)
2016-201624.0-243922/1819.509.7512.00---
Mohammad Irfan (PAK)
2016-201614.0-241822/189.004.5012.00---
T Mupariwa (ZIM)
2016-201614.0-243622/3618.009.0012.00---
S Nirmohi (HPCA)
2016-201614.0-241122/115.502.7512.00---
MD Shanaka (SL)
2016-201624.0-244822/4824.0012.0012.00---
LMM Tahuhu (NZ-W)
2016-201624.01241022/105.002.5012.00---
CJ Anderson (NZ)
2016-201612.0-121511/1515.007.5012.00---
CJ Chibhabha (ZIM)
2016-201612.0-121611/1616.008.0012.00---
SJ Coyte (AUS-W)
2016-201612.0-121211/1212.006.0012.00---
PU Deshpande (SHIVA)
2016-201662.0-123011/3030.0015.0012.00---
JL Jonassen (AUS-W)
2016-201612.0-12811/88.004.0012.00---
AM Kiran (BIJA)
2016-201622.0-121511/1515.007.5012.00---
O Kirsten (SA-W)
2016-201622.0-121111/1111.005.5012.00---
TMM Newton (NZ-W)
2016-201622.0-121511/1515.007.5012.00---
EA Osborne (AUS-W)
2016-201612.0-121411/1414.007.0012.00---
R Samarth (BIJA)
2016-201672.0-12811/88.004.0012.00---
DJG Sammy (WI)
2016-201622.0-122911/2929.0014.5012.00---
HASD Siriwardene (SL-W)
2016-201622.0-12911/99.004.5012.00---
S Sujay (KK)
2016-201612.0-122711/2727.0013.5012.00---
SR Taylor (WI-W)
2016-201612.0-12811/88.004.0012.00---
H Trilok Nag (RKW)
2016-201612.0-121811/1818.009.0012.00---
DB Sharma (IND-W/UPWMN)
2016-2016929.0-174129144/99.214.4412.421--
D Konwar (Assam)
2016-2016515.0-906173/198.714.0612.85---
V Vyshak (MYSW)
2016-2016828.1-169234134/4018.008.3013.001--
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