Records
2019 Records
FC+LA+T20 Matches Records
Bowling Best Career Strike Rate

Best strike rates in 2019 in FC+LA+T20s

Best strike rates
Player
Span
Mat
Overs
Mdns
Balls
Runs
Wkts
BBI
Ave
Econ
SR
4
5
10
C Zavoiu (ROM)
2019-201941.0-6433/41.334.002.00---
CA Pujara (IND/SAU)
2019-2019200.2-2111/11.003.002.00---
G Ravina (BSC)
2019-201920.2-2111/11.003.002.00---
RH Saha (TPURA)
2019-201910.3-31211/1212.0024.003.00---
P Florin (ROM)
2019-201941.4-101032/33.336.003.33---
M Shumba (TUSK)
2019-201932.2114444/41.001.713.501--
Janat Mir Zadran (PKTIA)
2019-201911.1-7522/52.504.283.50---
S Davizi (CZK-R)
2019-201924.2-262364/153.835.304.331--
J Rasu (VAN)
2019-2019183.5-234455/368.8011.474.60-1-
Musa Shaheen (DEN)
2019-201912.2-141133/113.664.714.66---
NN Sen (TPURA)
2019-2019100.5-51011/1010.0012.005.00---
AC Douglas (BER)
2019-2019104.2-263055/186.006.925.20-1-
GC Galanis (GRC)
2019-201924.2-263253/326.407.385.20---
Muhammad Nadeem (KSA)
2019-201955.0-304953/169.809.806.00---
Habib Ahmadzai (AUT)
2019-201924.0-242544/126.256.256.001--
S Bantzas (GRC)
2019-201913.0-181233/124.004.006.00---
R Pisal (ROM)
2019-201913.0-18433/41.331.336.00---
KM Silva (BRA)
2019-201933.0-181832/16.006.006.00---
S Anand (BSC/PONDI)
2019-2019132.0-121422/147.007.006.00---
RK Chandraguptha (CCC)
2019-2019192.0-121422/17.007.006.00---
AP Gillespie (IRE-A/NWW)
2019-201992.0-121422/147.007.006.00---
Hafez Farooq (Peru)
2019-201942.0-121422/147.007.006.00---
TC Lace (DER/MID)
2019-2019212.0-122022/2010.0010.006.00---
UK Abhay (MIZO)
2019-201931.0-6511/55.005.006.00---
GJ Abrahams (NCAPE)
2019-201971.0-6211/22.002.006.00---
Aftab Ahmed (DEN)
2019-201911.0-61011/1010.0010.006.00---
Ahsan Ali (QG/SINDH)
2019-2019171.0-6911/99.009.006.00---
SJ Erwee (DH/DOLPH/KZNIN)
2019-2019201.0-6911/99.009.006.00---
Hardev Singh (Chile)
2019-201931.0-61211/1212.0012.006.00---
Somnath Soni (ARP)
2019-201911.0-61511/1515.0015.006.00---
SR Watson (CSK/QG/RPR/ST)
2019-2019421.0-61011/1010.0010.006.00---
Zakaria Islam (ABL)
2019-201911.0-62411/2424.0024.006.00---
A Nanda (LUX)
2019-201937.2-444775/66.716.406.28-1-
AK Muslar (Blz)
2019-201939.01544183/105.124.556.75---
Munir Ahmad (AFG-A/AFG-E/AMSKS/BOOST/KDHAR)
2019-2019281.1-71211/612.0010.287.00---
A Dilhara (PSC)
2019-201915.0-304044/4010.008.007.501--
DF Jacobs (THA)
2019-201945.0-302644/136.505.207.501--
SI Runsewe (NGA)
2019-201962.3-152321/411.509.207.50---
Zeshan Arif (AUT)
2019-201937.5-474964/108.166.257.831--
PD Hennessy (ESP)
2019-2019812.01728693/279.557.168.00---
M Chikowero (RHINO)
2019-201914.0-241033/103.332.508.00---
Karanveer Singh (CHD)
2019-201914.0-241533/155.003.758.00---
A Rangaswamy (BOT)
2019-201949.41588374/2111.858.588.281--
L Reed (BOR)
2019-201957.0-425354/1710.607.578.401--
NB Singh (RAJ)
2019-2019310.0-604173/75.854.108.57---
M Spry (Peru)
2019-2019410.0-606274/88.856.208.571--
S Tyron (KYCC)
2019-201925.5-354043/1810.006.858.75---
H Fennell (Arg)
2019-2019512.01725784/127.124.759.001--
ABLD Rodrigo (GAL/PSC)
2019-2019176.0-365044/1212.508.339.001--
Apon Mustafizur (SRB)
2019-201923.0-183022/3015.0010.009.00---
DK Dahyabhai Ahir (PAN)
2019-201923.0-182722/1113.509.009.00---
Pawandeep Singh (CGR)
2019-201913.0-18822/84.002.669.00---
SLA Tai (BRODA)
2019-201913.0218722/73.502.339.00---
J Vosloo (Mpuma)
2019-201923.0-182621/613.008.669.00---
S Zargar (Mex)
2019-201913.0-182222/2211.007.339.00---
BT Koto (Mpuma)
2019-201941.3-91311/1113.008.669.00---
Bilal Zalmai (AUT)
2019-2019514.01846694/127.334.719.331--
D Maisuria (BOT)
2019-2019617.1-103121114/2811.007.049.361--
Karan Dagar (DELHI)
2019-201928.0-482954/125.803.629.601--
R Satheesan (ROM)
2019-2019413.02784483/145.503.389.75---
R van der Merwe (Arg)
2019-2019513.02786283/97.754.769.75---
Waqar Khan (Peru)
2019-2019413.0-788683/2110.756.619.75---
M Cope (LUX)
2019-201925.0-306132/2320.3312.2010.00---
SDJJ Dima (MOZ)
2019-201945.0-305733/4119.0011.4010.00---
Fahad Iqbal (PNJB)
2019-201915.0-304433/4414.668.8010.00---
K Modise (BOT)
2019-201935.0-304133/1813.668.2010.00---
H Olivier (FS)
2019-2019115.01301633/165.333.2010.00---
M Simpson-Parker (AUT)
2019-201935.0-304032/613.338.0010.00---
Minhaz Khan (Uttar)
2019-2019121.4-10611/26.003.6010.00---
RR Rossouw (HAM/KT/QG/RAR)
2019-2019661.4-10911/39.005.4010.00---
S Rossi (Arg)
2019-201956.52412142/155.253.0710.25---
D Birrell (JER)
2019-201917.01422044/205.002.8510.501--
GG Banner (Blz)
2019-201933.3-211022/105.002.8510.50---
PR Rekhade (IND-E)
2019-201913.3-21522/52.501.4210.50---
Babar Ali (BHR)
2019-201939.0-547052/1814.007.7710.80---
P Mishra (BUL)
2019-201939.0-543753/127.404.1110.80---
AR Maini (HP)
2019-2019729.0-174153163/149.565.2710.87---
Md Nurul Huda (FIN)
2019-2019516.3-9911893/1113.117.1511.00---
J Watson (Mpuma)
2019-2019412.5-7710974/1615.578.4911.001--
JL Martel (GUE)
2019-2019311.0-665963/159.835.3611.00---
KA Reynolds (Blz)
2019-2019311.0-666063/2610.005.4511.00---
Abraash Khan (CAN)
2019-201999.1-556255/6212.406.7611.00-1-
TE Barber (MID)
2019-201911.5-112011/2020.0010.9011.00---
Shaiman Anwar (UAE)
2019-2019121.5-111011/1010.005.4511.00---
Sami Sohail (MWI)
2019-2019726.03156164144/1811.716.3011.141--
TC Vine (ESP)
2019-2019615.0-9010584/2813.127.0011.251--
P Arrighi (Arg)
2019-2019519.0211484105/48.404.4211.40-1-
Tauqeer Hussain (ESP)
2019-201949.3-574852/129.605.0511.40---
Baljit Singh (ITA)
2019-2019823.0-138127124/2010.585.5211.501--
Nouman Sarwar (QAT)
2019-20191434.51209267184/1414.837.6611.611--
Yasir Ali (ESP)
2019-201999.5-595252/1110.405.2811.80---
Ahmed Wardak (GER)
2019-2019927.5-167170144/2012.146.1011.921--
Bashir Shah (DEN)
2019-2019414.0-847673/1410.855.4212.00---
M Abdulla (MWI)
2019-2019512.0-727663/2512.666.3312.00---
PH Shamdasani (Peru)
2019-2019412.01727062/811.665.8312.00---
Arshad Hayat (CZK-R)
2019-2019710.0-6010352/1520.6010.3012.00---
J Hurley (Arg)
2019-2019310.0-603353/136.603.3012.00---
DJ Muthuswami (MAHA)
2019-2019310.0-606453/1512.806.4012.00---
S Waqas Ahmed (NOR)
2019-2019510.0-608352/2416.608.3012.00---
K Dasan (BUL)
2019-201938.0-485243/2313.006.5012.00---
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