Records
2016 Records
All Matches Records
Bowling Best Career Strike Rate

Best strike rates in 2016 in All

Best strike rates
Player
Span
Mat
Overs
Mdns
Balls
Runs
Wkts
BBI
Ave
Econ
SR
4
5
10
V Bradley (DUR-W)
2016-201650.1-1-11/0--1.00---
K Sandaruwan (NALDA)
2016-201661.117-22/0--3.50---
SK Alex (TBCS)
2016-201622.3-151043/42.504.003.75---
Hasan Raza (ECBXI/HBL/VSKGS)
2016-201690.4-41411/1414.0021.004.00---
Siddiq Mehran (ITA19)
2016-201673.2-201643/84.004.805.00---
Sanuar Hossain (BCB-G)
2016-201612.3-151333/134.335.205.00---
H Rhodes (SwdWm)
2016-201628.415223106/102.302.655.2011-
MG Sewwandi (SHAKT)
2016-201638.3-514394/74.775.055.661--
A Orfila (GIBR)
2016-201645.0-303254/226.406.406.001--
C Patil (KCGES)
2016-201615.0430355/30.600.606.00-1-
SL Malinga (SL)
2016-201634.0-242644/266.506.506.001--
P Raho (PNG)
2016-201623.0-182033/116.666.666.00---
Ehsanul Haque (BCB-G)
2016-201612.0-121122/115.505.506.00---
NS Rajagopal (CtyJr)
2016-201612.0-12722/73.503.506.00---
AK Rana (HPCA)
2016-201612.0-121122/115.505.506.00---
Sung Dae Sik (SKOR)
2016-201642.0-123022/3015.0015.006.00---
SS Arthurton (/No2XI/Norf/UNI)
2016-2016251.0-6411/44.004.006.00---
Azam Khalil (SWE)
2016-201631.0-61411/1414.0014.006.00---
B Esau (SWU17)
2016-201651.0-6511/55.005.006.00---
N Hatton (KZU13)
2016-20166*1.0-6411/44.004.006.00---
L Hlekiso (SWU13)
2016-201651.0-6711/77.007.006.00---
DJ Hussey (MS)
2016-201681.0-6911/99.009.006.00---
EH Jayasinghe (NALDA)
2016-201651.0-6211/22.002.006.00---
WWWL Lakshan (BRC/SLPAC)
2016-201641.0-6111/11.001.006.00---
Naveed Obaid (AFG19/BEAD/KHOST)
2016-2016111.0-6311/33.003.006.00---
A Paul (KER-W)
2016-201641.0-6311/33.003.006.00---
N Sandamini (FOGSW)
2016-201621.0-61211/1212.0012.006.00---
GRB Schreuder (KZI17)
2016-201651.0-6511/55.005.006.00---
Sweed Ullah (SWE)
2016-201621.0-61611/1616.0016.006.00---
Taimoor Sultan (SNGP)
2016-201651.0-6611/66.006.006.00---
Uzair Khan (HHJ)
2016-201611.0-62511/2525.0025.006.00---
R Whitmore ()
2016-201611.0-6911/99.009.006.00---
WDU Withana (MLC)
2016-201621.0-61411/1414.0014.006.00---
ZZ Zondo (KZN)
2016-201651.0-6611/66.006.006.00---
HSH Anfas (ZAHIR)
2016-201638.4-524986/156.125.656.50-1-
SRM Arachichige (ISR)
2016-201639.0-543684/134.504.006.751--
BMS Uththara (BADL)
2016-201639.01544384/105.374.776.751--
CM Hatharasinghe (Royal)
2016-201638.01484674/156.575.756.851--
CO Thurston (Beds/LbroU/No2XI)
2016-2016162.2-141921/59.508.147.00---
S Danijal (KILIM)
2016-201636.0-363053/96.005.007.20---
J Beneke (NrU13)
2016-201665.0-301942/84.753.807.50---
Mudassar Muhammad (GER)
2016-201635.0-302243/155.504.407.50---
A Kamath (KCGES)
2016-2016111.58712098/162.221.697.88-1-
N Sole (KznWm)
2016-2016613.117948104/24.803.647.902--
EK Hubbard (DUR-W)
2016-201626.4-401155/112.201.658.00-1-
N Niyas (KER)
2016-201614.0-241433/144.663.508.00---
AR Anasraj (JCC)
2016-201614.0-242033/206.665.008.00---
S Dilshan (UPCCS)
2016-201614.0-242533/258.336.258.00---
SR Rai (Assam)
2016-201614.0-241433/144.663.508.00---
Saifullah Khan (BCB-G)
2016-201614.0-242233/227.335.508.00---
EG Starr (LEI-W)
2016-201634.0-241233/124.003.008.00---
S Yamada (JPN)
2016-201614.01241033/103.332.508.00---
LC Paternott (No2XI/OxfdU)
2016-2016141.2-81011/610.007.508.00---
MNS Maduwanthi (MLC)
2016-201638.1-496463/1210.667.838.16---
V Jathushan (JCS)
2016-2016311.0-663884/134.753.458.251--
K Wakita (JPN)
2016-2016414.018449104/134.903.508.401--
CJ Cooper (ShrWm)
2016-201617.0442555/51.000.718.40-1-
R Sonu Yadav (KK)
2016-2016616.0-96112114/2210.187.008.722--
C Allen (YOR-W)
2016-201625.5-352944/167.254.978.751--
TC Knight (De2XI)
2016-2016195.51353043/197.505.148.75---
RC Sante (IND-D)
2016-201639.0-548363/3113.839.229.00---
G Kaplan (CbrCb/WP19)
2016-2016116.01362544/256.254.169.001--
SV Lazars (BLARY)
2016-201646.0-363243/218.005.339.00---
W Liengprasert (THA-W)
2016-201686.0-362942/87.254.839.00---
PU Deshpande (KNTKA/SHIVA)
2016-201674.3-274431/414.669.779.00---
TS Hasabnis (MAHWM)
2016-201673.0-182622/1613.008.669.00---
R de Neysshen (EstWm)
2016-201613.0-18822/84.002.669.00---
NPS Dias (NITTA)
2016-201613.0-181622/168.005.339.00---
M Honga (NAM19)
2016-201633.0-182322/411.507.669.00---
A Jani (KeiWm)
2016-201613.0-182022/2010.006.669.00---
Norshahritzat Nordin (HZER)
2016-201643.0-182921/714.509.669.00---
P O'Riordan (SufWm)
2016-201623.0-181521/27.505.009.00---
S Rath (ODH-W)
2016-201623.0-181622/168.005.339.00---
Shahil Momin (GER)
2016-201613.0-181322/136.504.339.00---
M Silambarasan (DD)
2016-201613.0-181722/178.505.669.00---
MR Swart (ISL-W/NED)
2016-201663.0-181921/59.506.339.00---
A Thurbon (NOR-W)
2016-201613.0118822/84.002.669.00---
K Wadhwani (MYSW)
2016-201613.01181622/168.005.339.00---
Fida Hussain (ITA)
2016-201641.3-9811/88.005.339.00---
Nauwaf Ahmad Mohdeen (KUW19)
2016-201621.3-91011/410.006.669.00---
C Jhansi Lakshmi (AP-W)
2016-2016512.2-744583/65.623.649.25---
T Liyanage (KINGS)
2016-201636.1-373742/49.256.009.25---
DS Arambegoda (MATL)
2016-2016410.5-656874/119.716.279.281--
Mohmadullah (PKU17)
2016-2016311.0-663977/205.573.549.42-1-
SN Ford (SufWm)
2016-201649.3-573763/86.163.899.50---
M Muralidaran (GemAr)
2016-2016624.0-144166154/1911.066.919.601--
E Ang (HKDRG)
2016-201628.0-482353/74.602.879.60---
MATS Bandara (RAG)
2016-201638.0-486954/3013.808.629.601--
AG Gordon (SUR-W)
2016-201658.0-484553/159.005.629.60---
Kuldeep Lal (ESP)
2016-201638.0-484153/128.205.129.60---
K Masingita (EASTN)
2016-201618.02483955/157.804.879.60-1-
N Mlaba (KznWm)
2016-201668.01483153/76.203.879.60---
FMK Morris (Berwm)
2016-201628.01483753/217.404.629.60---
A Pratap Singh (BENG)
2016-201628.0-484353/158.605.379.60---
S Shinde (BGAVI)
2016-201638.0-487052/3014.008.759.60---
AKKY Lanka (GAL/MOORS)
2016-201664.5-292533/258.335.179.66---
Mansoor (MaU17)
2016-201636.3-393142/147.754.769.75---
Shivam Sharma (DELHI)
2016-201638.1-495053/710.006.129.80---
W Antony Dhas (CSG/TN)
2016-20161538.0-228275234/911.957.239.912--
B Gillin (SCO-W)
2016-2016310.0-606163/1510.166.1010.00---
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