Records
2018 Records
LA Matches Records
Bowling Best Career Economy Rate - vs South Africa

Best economy rates in 2018 in List A - vs South Africa

Best economy rates
Player
Span
Mat
Overs
Mdns
Balls
Runs
Wkts
BBI
Ave
Econ
SR
4
5
10
RK Singh (IND)
2023-202321.0-6211/22.002.006.0---
O Thomas (WI)
2019-201910.3-31---2.00----
Hamid Hassan (AFG)
2019-201914.012411---2.75----
Afif Hossain (BAN)
2022-202235.0-301511/1515.003.0030.0---
KIC Asalanka (SL)
2021-202341.0-6311/33.003.006.0---
Aftab Alam (AFG)
2019-201915.013016---3.20----
C de Grandhomme (NZ)
2019-2019110.0-603311/3333.003.3060.0---
KAJ Roach (WI)
2019-201913.0-1810---3.33----
S Mahmood (ENG)
2020-202015.01301711/1717.003.4030.0---
Arshdeep Singh (IND)
2023-2023327.0116295105/379.503.5116.211-
RA Jadeja (IND)
2023-202319.01543355/336.603.6610.8-1-
M Theekshana (SL)
2021-2021110.0-603744/379.253.7015.01--
Mohammad Nabi (AFG)
2019-2023216.411006422/3532.003.8450.0---
KM Jarvis (ZIM)
2018-2018326.0215610232/2634.003.9252.0---
Fakhar Zaman (PAK)
2019-202192.0-128---4.00----
JJ Bumrah (IND)
2018-20231187.03522353152/2423.534.0534.8---
RE van der Merwe (NED)
2021-2023215.0-906132/3420.334.0630.0---
DT Tiripano (ZIM)
2018-2018217.311057242/3518.004.1126.2---
MJ Henry (NZ)
2019-2023215.329365---4.19----
Mohammed Siraj (IND)
2022-2023427.0216211563/3819.164.2527.0---
PM Seelaar (NED)
2021-202116.0-3626---4.33----
AR Patel (IND)
2023-2023316.0-967011/4870.004.3796.0---
BFW de Leede (NED)
2021-202328.0-483622/3618.004.5024.0---
SS Cottrell (WI)
2019-201914.01241822/189.004.5012.0---
Mohammed Shami (IND)
2023-202314.0-241822/189.004.5012.0---
Kuldeep Yadav (IND)
2018-20231397.53587446274/1816.514.5521.73--
Imad Wasim (PAK)
2019-2019542.0-25219311/36193.004.59252.0---
KM Jadhav (IND)
2018-2019410.0-6046---4.60----
Wahab Riaz (PAK)
2019-2019110.0-604633/4615.334.6020.0---
GJ Maxwell (AUS)
2018-2023638.0122817522/3487.504.60114.0---
Mohammad Amir (PAK)
2019-2019432.0219215142/4937.754.7148.0---
Avesh Khan (IND)
2022-2023643.5426320964/2734.834.7643.81--
Shakib Al Hasan (BAN)
2019-2023548.0228823052/2446.004.7957.6---
SC Williams (ZIM)
2018-2018324.1114511621/4358.004.8072.5---
Rashid Khan (AFG)
2019-2023217.011028222/3741.004.8251.0---
B Mavuta (ZIM)
2018-2018324.0-14411642/4829.004.8336.0---
Gulbadin Naib (AFG)
2019-201916.0-362911/2929.004.8336.0---
CN Ackermann (NED)
2021-202327.0-423411/1634.004.8542.0---
Taskin Ahmed (BAN)
2022-2022323.0113811285/3514.004.8617.2-1-
AC Agar (AUS)
2020-2023218.0-1088811/4088.004.88108.0---
TL Chatara (ZIM)
2018-2018322.5213711263/4218.664.9022.8---
Washington Sundar (IND)
2022-2023323.0-13811352/1522.604.9127.6---
HH Pandya (IND)
2018-2019750.0-30024742/3061.754.9475.0---
TK Curran (ENG)
2020-2020318.0110889---4.94----
OP Stone (ENG)
2023-2023217.011028532/4828.335.0034.0---
Mohammad Wasim (PAK)
2023-2023110.01605022/5025.005.0030.0---
SPD Smith (AUS)
2019-202361.0-65---5.00----
P Jayawickrama (SL)
2021-2021322.0-13211121/1855.505.0466.0---
YS Chahal (IND)
2018-20221091.11547460225/2220.905.0424.821-
Shahbaz Ahmed (IND)
2022-2022217.0-1028632/3228.665.0534.0---
Mujeeb Ur Rahman (AFG)
2023-2023110.0-605111/5151.005.1060.0---
BA Carse (ENG)
2022-202219.0-544611/4646.005.1154.0---
SL Malinga (SL)
2019-2019649.0129425152/3950.205.1258.8---
BMAJ Mendis (SL)
2019-201917.0-4236---5.14----
JB Little (IRE)
2021-2021319.0-1149842/4524.505.1528.5---
WP Masakadza (ZIM)
2018-201815.01302622/2613.005.2015.0---
PW Hasaranga (SL)
2021-2021328.0416814742/3236.755.2542.0---
C Karunaratne (SL)
2021-202138.0-484232/2414.005.2516.0---
LE Plunkett (ENG)
2019-201917.0-423722/3718.505.2821.0---
NM Lyon (AUS)
2019-2019110.0-605322/5326.505.3030.0---
J Yadav (IND)
2022-2022110.0-6053---5.30----
TM Head (AUS)
2018-2023819.0-11410142/2125.255.3128.5---
Faheem Ashraf (PAK)
2019-2021540.0-24021321/25106.505.32120.0---
Simi Singh (IRE)
2021-2021318.0-1089621/4448.005.3354.0---
Usman Qadir (PAK)
2021-202119.0-544811/4848.005.3354.0---
JR Hazlewood (AUS)
2018-20231094.09564502143/4135.855.3440.2---
FJ Klaassen (NED)
2021-2023326.0315613952/4327.805.3431.2---
Hasan Ali (PAK)
2019-2021434.0220418231/3360.665.3568.0---
Mehidy Hasan Miraz (BAN)
2019-2023543.0-25823284/6129.005.3932.21--
Danish Aziz (PAK)
2021-202125.0-3027---5.40----
Nasum Ahmed (BAN)
2023-202315.0-3027---5.40----
MJ Santner (NZ)
2019-2023219.0-11410311/45103.005.42114.0---
Noor Ahmad (AFG)
2023-202319.0-5449---5.44----
DM de Silva (SL)
2018-20231262.0137233983/4142.375.4646.5---
MA Starc (AUS)
2018-2023875.34453413143/3429.505.4732.3---
PJ Cummins (AUS)
2018-2023873.45442404103/4540.405.4844.2---
AJ Finch (AUS)
2018-202072.0-1211---5.50----
AK Perera (SL)
2019-201912.0-1211---5.50----
DJ Willey (ENG)
2022-2023423.0313812721/963.505.5269.0---
Mohammad Nawaz (PAK)
2021-2023213.2-807433/3424.665.5526.6---
GSNFG Jayasuriya (SL)
2018-201827.0-4239---5.57----
Shaheen Shah Afridi (PAK)
2019-2023977.33465432163/4427.005.5729.0---
CA Young (IRE)
2021-2021317.0-1029521/3447.505.5851.0---
TA Boult (NZ)
2019-2023220.0112011221/4956.005.6060.0---
SJ Cook (LIONS)
2022-2022110.01605633/5618.665.6020.0---
VR Iyer (IND)
2022-202225.0-3028---5.60----
Usama Mir (PAK)
2023-202318.0-484522/4522.505.6224.0---
PHKD Mendis (SL)
2019-2021314.0-847911/4579.005.6484.0---
JC Archer (ENG)
2019-2023326.12157148106/4014.805.6515.7-1-
SM Curran (ENG)
2020-2023849.0229427863/3546.335.6749.0---
T van der Gugten (NED)
2021-202117.0-424011/4040.005.7142.0---
Shadab Khan (PAK)
2019-2023972.0143241283/5051.505.7254.0---
Usman Shinwari (PAK)
2019-2019322.0-13212754/3525.405.7726.41--
A Dananjaya (SL)
2018-20211194.11565545186/2930.275.7831.3-1-
PA van Meekeren (NED)
2023-2023325.0215014542/4036.255.8037.5---
BAC Howell (LIONS)
2022-2022110.0-605833/5819.335.8020.0---
JA Richardson (AUS)
2020-2020110.016058---5.80----
SA Abbott (AUS)
2023-2023429.5117917552/5035.005.8635.8---
Mustafizur Rahman (BAN)
2019-2023539.0-23422933/6776.335.8778.0---
AU Rashid (ENG)
2019-2023980.01480470163/2929.375.8730.0---
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