Bowling Best Career Economy Rate IN India

Best economy rates in 2010s in Minor T20s IN India

Best economy rates
Player
Span
Mat
Overs
Mdns
Balls
Runs
Wkts
BBI
Ave
Econ
SR
4
5
10
2017-201711.0-61---1.00----
2017-201761.1-7211/22.001.717.0---
2016-201614.0124711/77.001.7524.0---
2016-2016415.05902932/59.661.9330.0---
2018-201823.0-18644/61.502.004.51--
2017-201743.0118711/57.002.3318.0---
2016-201613.0-18711/77.002.3318.0---
2016-2019230.5-5211/22.002.405.0---
2016-201622.0-12533/51.662.504.0---
2015-201512.0-125---2.50----
2016-2016412.02723164/35.162.5812.01--
2016-2016415.01903952/77.802.6018.0---
2016-201628.0-482174/123.002.626.81--
2016-201613.0-18811/88.002.6618.0---
2017-201714.0-241122/115.502.7512.0---
2016-2016726.011567583/99.372.8819.5---
2016-2016510.01602911/929.002.9060.0---
2016-2016619.1-11556103/75.602.9211.5---
2016-201648.0-482411/1324.003.0048.0---
2016-201626.0-361811/818.003.0036.0---
2017-201725.0-301521/27.503.0015.0---
2016-201613.0118933/93.003.006.0---
2017-201771.0-6322/31.503.003.0---
2016-201641.0-6311/33.003.006.0---
2017-201711.0-63---3.00----
2014-201411.0-63---3.00----
2016-2016519.211165985/57.373.0514.5-1-
2016-2016728.011688672/1112.283.0724.0---
2016-2016414.02844342/210.753.0721.0---
2016-2016514.51894631/615.333.1029.6---
2016-201639.0-542811/1128.003.1154.0---
2016-2016519.021146053/1712.003.1522.8---
2016-2016724.0-1447653/1515.203.1628.8---
2010-201028.01482632/138.663.2516.0---
2016-201628.03482621/1013.003.2524.0---
2016-201614.01241333/134.333.258.0---
2016-201624.0-241311/1313.003.2524.0---
2016-201614.0-241311/1313.003.2524.0---
2016-2016414.0-844632/1115.333.2828.0---
2016-2016413.01784321/721.503.3039.0---
2016-2018927.0-1629042/1122.503.3340.5---
2016-201656.0-362011/920.003.3336.0---
2016-201936.0-362033/116.663.3312.0---
2016-2016414.0-844742/1111.753.3521.0---
2016-2016416.0-965452/910.803.3719.2---
2016-201625.0-301733/135.663.4010.0---
2016-2016520.011206983/178.623.4515.0---
2016-2016416.0-965653/1211.203.5019.2---
2016-201614.0-241433/144.663.508.0---
2017-201732.0-12722/73.503.506.0---
2010-2018282.0-127---3.50----
2016-201622.0-127---3.50----
2016-201862.0-12722/73.503.506.0---
2016-2016619.011146721/1833.503.5257.0---
2016-2016415.0-905332/917.663.5330.0---
2016-2019930.03180108143/67.713.6012.8---
2016-201613.2-201244/123.003.605.01--
2010-2018271.4-106---3.60----
2016-2016413.0-784721/1223.503.6139.0---
2016-2016512.2-744583/65.623.649.2---
2016-2016413.4-825032/716.663.6527.3---
2015-201513.0-1811---3.66----
2010-2010517.0-1026373/229.003.7014.5---
2016-2016621.031267831/326.003.7142.0---
2016-2018715.0-905632/1018.663.7330.0---
2016-2018723.0-13886104/88.603.7313.81--
2016-201614.0-241511/1515.003.7524.0---
2016-201644.0-241511/515.003.7524.0---
2016-2016726.2-1589942/1024.753.7539.5---
2016-2016413.0-784931/1116.333.7626.0---
2017-201726.0-362353/164.603.837.2---
2016-2016416.02966211/2062.003.8796.0---
2016-201628.0-483111/1331.003.8748.0---
2016-2018932.0-19212562/1820.833.9032.0---
2016-2016412.0-724762/107.833.9112.0---
2016-2016413.0-785133/1217.003.9226.0---
2016-2016414.0-845563/149.163.9214.0---
2016-2016718.0-1087143/1717.753.9427.0---
2016-2016415.1-916011/1860.003.9591.0---
2016-2016726.0-156103133/87.923.9612.0---
2016-2016519.021147673/2810.854.0016.2---
2014-2014312.0-724811/1748.004.0072.0---
2016-201639.0-543632/1212.004.0018.0---
2017-201727.0-422832/129.334.0014.0---
2016-201836.01362422/1012.004.0018.0---
2014-201414.0-2416---4.00----
2012-201214.01241622/168.004.0012.0---
2017-201733.0-181222/126.004.009.0---
2016-201612.0-12811/88.004.0012.0---
2016-201612.0-12811/88.004.0012.0---
2016-201611.0-64---4.00----
2017-2019111.0-6411/44.004.006.0---
2017-201721.0-64---4.00----
2016-201621.0-64---4.00----
2016-2016515.2-926221/1531.004.0446.0---
2016-2016416.0-966583/168.124.0612.0---
2016-2016515.0-906173/198.714.0612.8---
2016-2016514.0-845731/1119.004.0728.0---
2016-2016512.0-724911/749.004.0872.0---
2016-201649.0-543754/107.404.1110.81--
Adjust:Most recentPast weekPast MonthPast year4 years10 years25 years
Performances in matches that overlap decades are credited to the year in which they occurred - this results in some unknown data, especially in regard to bowling figures