Records
2018 Records
T20I Matches Records
Bowling Best Career Economy Rate IN India

Best economy rates in 2018 in T20Is IN India

Best economy rates
Player
Span
Mat
Overs
Mdns
Balls
Runs
Wkts
BBI
Ave
Econ
SR
4
5
10
BE Hendricks (SA)
2019-201914.0-241422/147.003.5012.0---
MS Chapman (NZ)
2021-202361.0-64---4.00----
GD Phillips (NZ)
2021-202364.0-2417---4.25----
RL Chase (WI)
2022-2022312.0-726263/2510.335.1612.0---
BJ McCarthy (IRE)
2020-202014.0-242111/2121.005.2524.0---
Nazmul Islam (BAN)
2018-2018312.02726422/1832.005.3336.0---
Rashid Khan (AFG)
2018-20201247.0-282271275/2710.035.7610.421-
MG Bracewell (NZ)
2023-202339.0-545242/3113.005.7713.5---
Shakib Al Hasan (BAN)
2018-2018312.0-727221/1636.006.0036.0---
SS Iyer (IND)
2019-2023310.2-22---6.00----
R Ashwin (IND)
2021-2022520.0112012232/2340.666.1040.0---
DJ Hooda (IND)
2022-202399.0-545511/1755.006.1154.0---
MJ Santner (NZ)
2021-2023624.0114414763/2724.506.1224.0---
SR Thompson (IRE)
2019-201924.3-2728---6.22----
Mohammed Shami (IND)
2019-201914.0-242522/2512.506.2512.0---
Qais Ahmad (AFG)
2020-202014.0-242533/258.336.258.0---
JP Behrendorff (AUS)
2019-2023622.0213214082/3217.506.3616.5---
Abu Hider (BAN)
2018-201827.0-424511/1445.006.4242.0---
Mohammad Nabi (AFG)
2018-20201234.0-20422262/1637.006.5234.0---
Mujeeb Ur Rahman (AFG)
2018-20201142.0-252275113/3825.006.5422.9---
Mahmudullah (BAN)
2018-201963.0-182022/110.006.669.0---
Al-Amin Hossain (BAN)
2019-2019312.0-728111/2281.006.7572.0---
CA Young (IRE)
2020-2020310.0-606821/2734.006.8030.0---
AL Phehlukwayo (SA)
2019-201927.0-424811/2048.006.8542.0---
Kuldeep Yadav (IND)
2018-2023929.0-174199113/1318.096.8615.8---
Naveen-ul-Haq (AFG)
2019-2020415.0-9010383/2112.876.8611.2---
TG Southee (NZ)
2021-202128.0-485643/1614.007.0012.0---
Aftab Alam (AFG)
2018-201814.0-2428---7.00----
JJ Bumrah (IND)
2018-20221135.01210246103/1624.607.0221.0---
AR Patel (IND)
2021-20232375.5-455539263/920.737.1017.5---
KH Pandya (IND)
2018-2019930.5-18522421/15112.007.2692.5---
BC Fortuin (SA)
2019-201927.0-425132/1917.007.2814.0---
Gulbadin Naib (AFG)
2019-2020618.0-10813352/2426.607.3821.6---
Ravi Bishnoi (IND)
2022-2023936.0-216272133/3220.927.5516.6---
Soumya Sarkar (BAN)
2018-201957.0-425322/2926.507.5721.0---
O Thomas (WI)
2018-2018312.01729132/2130.337.5824.0---
NA Saini (IND)
2019-2020513.5-8310563/2817.507.5913.8---
GJ Delany (IRE)
2020-2020310.0-607632/2125.337.6020.0---
B Kumar (IND)
2018-20222483.01498635234/1327.607.6521.61--
Washington Sundar (IND)
2018-20232061.3-369471142/2233.647.6526.3---
K Rabada (SA)
2019-2022932.0119224673/3935.147.6827.4---
HH Pandya (IND)
2019-20232154.0-324417124/1634.757.7227.01--
JC Archer (ENG)
2021-2021520.0112015574/3322.147.7517.11--
M Markande (IND)
2019-201914.0-2431---7.75----
KMA Paul (WI)
2018-2019518.5-11314662/2624.337.7518.8---
SS Cottrell (WI)
2019-2022829.0117422582/2928.127.7521.7---
AU Rashid (ENG)
2021-2021519.0111414841/1437.007.7828.5---
RA Jadeja (IND)
2019-2022720.0-12015651/2231.207.8024.0---
SM Curran (ENG)
2021-2021510.01607821/1639.007.8030.0---
DJM Short (AUS)
2019-201925.0-303911/2939.007.8030.0---
KK Ahmed (IND)
2018-2019624.0114419152/3038.207.9528.8---
Avesh Khan (IND)
2022-20231035.0121027984/1834.877.9726.21--
Simi Singh (IRE)
2019-2020611.3-699242/1823.008.0017.2---
Aminul Islam (BAN)
2019-2019310.0-608042/2220.008.0015.0---
AJ Hosein (WI)
2022-202228.0-4864---8.00----
MA Wood (ENG)
2021-2021416.019612953/3125.808.0619.2---
Karim Janat (AFG)
2018-20201036.0-216291105/1129.108.0821.6-1-
MD Shanaka (SL)
2020-202399.0-547332/424.338.1118.0---
WD Parnell (SA)
2022-2022624.0-14419642/4149.008.1636.0---
TA Boult (NZ)
2021-2021312.0-729832/3132.668.1624.0---
VR Iyer (IND)
2021-202299.1-557552/2315.008.1811.0---
PW Hasaranga (SL)
2020-2023619.0-11415662/3026.008.2119.0---
IS Sodhi (NZ)
2021-2023516.0-9613241/2433.008.2524.0---
A Zampa (AUS)
2019-2023621.0-12617443/1643.508.2831.5---
HR Walsh (WI)
2019-2022620.0-12016752/2833.408.3524.0---
KOK Williams (WI)
2019-2019623.4-142198113/1718.008.3612.9---
DL Chahar (IND)
2019-20231864.01384537246/722.378.3916.0-1-
NM Coulter-Nile (AUS)
2019-201927.0-425943/2614.758.4210.5---
YS Chahal (IND)
2018-20232998.31591833293/2028.728.4520.3---
DM de Silva (SL)
2020-202364.0-243411/634.008.5024.0---
P Jayawickrama (SL)
2022-202224.0-2434---8.50----
SN Thakur (IND)
2020-2022928.2-170243153/2316.208.5711.3---
CAK Rajitha (SL)
2023-2023312.017210432/2234.668.6624.0---
T Shamsi (SA)
2019-2022719.4-11817131/1957.008.6939.3---
Abu Jayed (BAN)
2018-201827.0-426132/2720.338.7114.0---
Mohammed Siraj (IND)
2021-2022312.0-7210521/2252.508.7536.0---
BJ Dwarshuis (AUS)
2023-202328.0-487053/4014.008.759.6---
JA Duffy (NZ)
2023-202324.0-243511/2735.008.7524.0---
PADLR Sandakan (SL)
2020-202014.0-243533/3511.668.758.0---
FA Allen (WI)
2018-2022610.5-659531/2331.668.7621.6---
KA Maharaj (SA)
2022-2022823.0-13820282/2325.258.7817.2---
Shivam Mavi (IND)
2023-2023614.0-8412374/2217.578.7812.01--
Afif Hossain (BAN)
2019-201935.0-304411/1144.008.8030.0---
BA Stokes (ENG)
2021-2021512.0-7210631/2535.338.8324.0---
Mosaddek Hossain (BAN)
2018-201946.0-365322/2126.508.8318.0---
K Pierre (WI)
2018-2019721.0-12618752/4437.408.9025.2---
Rubel Hossain (BAN)
2018-201827.5-477021/3235.008.9323.5---
T Sangha (AUS)
2023-2023520.0-12017952/3035.808.9524.0---
CR Brathwaite (WI)
2018-2018312.017210822/1154.009.0036.0---
Sharafuddin Ashraf (AFG)
2019-201925.0-3045---9.00----
CJ Green (AUS)
2023-202314.0-2436---9.00----
AK Markram (SA)
2022-202231.0-69---9.00----
GH Dockrell (IRE)
2019-2020510.0-609111/2691.009.1060.0---
Shafiul Islam (BAN)
2019-2019310.01609142/3222.759.1015.0---
S Dube (IND)
2019-2020812.3-7511433/3038.009.1225.0---
Mukesh Kumar (IND)
2023-2023416.0-9614643/3236.509.1224.0---
Shapoor Zadran (AFG)
2018-2020416.0-9614663/4024.339.1216.0---
HV Patel (IND)
2021-20232065.1-391595234/2525.869.1317.01--
D Pretorius (SA)
2019-2022822.3-13520683/2625.759.1516.8---
JDF Vandersay (SL)
2022-202226.2-3858---9.15----
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