Bowling Best Career Economy Rate - vs Singapore

Best economy rates in 2019 in Tests+ODIs+T20Is - vs Singapore

Best economy rates
Player
Span
Mat
Overs
Mdns
Balls
Runs
Wkts
BBI
Ave
Econ
SR
4
5
10
2022-202211.0-6211/22.002.006.0---
2022-202214.01241255/122.403.004.8-1-
2019-201913.0-18933/93.003.006.0---
2022-202214.0-241333/134.333.258.0---
2019-201913.0-181111/1111.003.6618.0---
2022-202214.0-2415---3.75----
2022-202335.5-352375/163.283.945.0-1-
2022-202224.01241622/58.004.0012.0---
2022-202213.0-181222/126.004.009.0---
2019-201914.0-2417---4.25----
2022-202213.3-211511/1515.004.2821.0---
2022-202228.0-483532/2011.664.3716.0---
2019-201913.1-191433/144.664.426.3---
2022-202227.5-473585/164.374.465.8-1-
2022-202214.0-241833/186.004.508.0---
2022-202213.0-181433/144.664.666.0---
2023-202313.5-231822/189.004.6911.5---
2020-202014.0-241911/1919.004.7524.0---
2019-2023515.0-907283/159.004.8011.2---
2022-202213.0-181511/1515.005.0018.0---
2019-201912.0-1210---5.00----
2019-201913.5-232022/2010.005.2111.5---
2022-202227.5-474122/1720.505.2323.5---
2019-202228.0-484243/1410.505.2512.0---
2023-202314.0-242122/2110.505.2512.0---
2023-202314.0-242122/2110.505.2512.0---
2023-202314.0-242133/217.005.258.0---
2022-202214.0-242122/2110.505.2512.0---
2023-202314.0-242111/2121.005.2524.0---
2019-202233.0-181611/1616.005.3318.0---
2019-201914.01242233/227.335.508.0---
2022-202214.0-242244/225.505.506.01--
2023-202314.0-242244/225.505.506.01--
2019-201914.0-242233/227.335.508.0---
2019-201912.0-1211---5.50----
2020-202012.0-121122/115.505.506.0---
2022-202228.0-484533/1915.005.6216.0---
2022-202223.0-181711/1117.005.6618.0---
2022-202213.0-181722/178.505.669.0---
2020-202014.0-242322/2311.505.7512.0---
2023-202314.0-2423---5.75----
2023-202314.0-242311/2323.005.7524.0---
2020-2023622.5-13713473/1319.145.8619.5---
2022-202227.0-424242/2010.506.0010.5---
2022-202213.0-181811/1818.006.0018.0---
2022-202211.2-8811/88.006.008.0---
2022-202211.0-66---6.00----
2019-2023917.5110710941/227.256.1126.7---
2022-202214.0-242522/2512.506.2512.0---
2019-201914.0-242511/2525.006.2524.0---
2022-202213.5-2324---6.26----
2019-201913.0-181911/1919.006.3318.0---
2019-2023311.0-667022/1835.006.3633.0---
2022-2022312.0-727853/2415.606.5014.4---
2023-202314.0-242622/2613.006.5012.0---
2019-201914.0-242622/2613.006.5012.0---
2019-201914.0-242611/2626.006.5024.0---
2019-201914.012426---6.50----
2019-2022414.0-849253/2318.406.5716.8---
2020-202328.01485332/2517.666.6216.0---
2020-2022312.0-728063/2013.336.6612.0---
2019-201913.0-182022/2010.006.669.0---
2022-202213.0-1820---6.66----
2019-201913.0-182011/2020.006.6618.0---
2019-2022414.01849452/1318.806.7116.8---
2022-202228.0-485411/1854.006.7548.0---
2019-201914.0-242711/2727.006.7524.0---
2019-201914.0-242722/2713.506.7512.0---
2019-2022311.01667653/2415.206.9013.2---
2023-202314.0-242822/2814.007.0012.0---
2019-201914.0-242811/2828.007.0024.0---
2019-201914.0-242822/2814.007.0012.0---
2019-201913.0-182144/215.257.004.51--
2019-201913.0-1821---7.00----
2022-202213.0-182111/2121.007.0018.0---
2023-202312.0-121411/1414.007.0012.0---
2022-2022410.0-607121/835.507.1030.0---
2019-2023915.1-9110842/2127.007.1222.7---
2022-202228.0-485732/2719.007.1216.0---
2023-202314.0-242911/2929.007.2524.0---
2023-202314.0-2429---7.25----
2019-201914.0-242933/299.667.258.0---
2019-2023311.0-6680---7.27----
2019-201913.0-182211/2222.007.3318.0---
2019-201913.3-212611/2626.007.4221.0---
2020-202324.0-243011/3030.007.5024.0---
2020-202014.0-2430---7.50----
2019-202242.0-1215---7.50----
2020-2023721.0112616152/3032.207.6625.2---
2019-2022312.0-729242/3023.007.6618.0---
2023-202314.0-243111/3131.007.7524.0---
2023-202314.0-243122/3115.507.7512.0---
2022-202227.0-425532/2418.337.8514.0---
2022-202338.0-486331/1421.007.8716.0---
2019-2022410.0-607911/2579.007.9060.0---
2022-202227.0-425611/4156.008.0042.0---
2019-202236.0-364811/1548.008.0036.0---
2023-202314.0-243211/3232.008.0024.0---
2023-202314.0-243222/3216.008.0012.0---
2019-201914.0-243222/3216.008.0012.0---
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