Best economy rates in 2013 in FC+LA+T20s - Faisalabad (Wolves)
Best economy rates
Player | Span | Mat | Overs | Mdns | Balls | Runs | Wkts | BBI | Ave | Econ | SR | 4 | 5 | 10 |
2013-2013 | 2 | 7.0 | 3 | 42 | 11 | - | - | - | 1.57 | - | - | - | - | |
2013-2013 | 22 | 2.0 | - | 12 | 4 | - | - | - | 2.00 | - | - | - | - | |
2013-2013 | 2 | 57.1 | 16 | 343 | 132 | 3 | 3/6 | 44.00 | 2.30 | 114.3 | - | - | - | |
2013-2013 | 24 | 12.0 | 2 | 72 | 30 | 1 | 1/5 | 30.00 | 2.50 | 72.0 | - | - | - | |
2013-2013 | 4 | 132.4 | 31 | 796 | 364 | 13 | 5/101 | 28.00 | 2.74 | 61.2 | - | 1 | - | |
2013-2013 | 9 | 73.5 | 18 | 443 | 223 | 16 | 4/22 | 13.93 | 3.02 | 27.6 | 2 | - | - | |
2013-2013 | 21 | 491.2 | 111 | 2948 | 1570 | 56 | 6/72 | 28.03 | 3.19 | 52.6 | 1 | 2 | - | |
2013-2013 | 9 | 159.0 | 23 | 954 | 535 | 16 | 4/53 | 33.43 | 3.36 | 59.6 | 2 | - | - | |
2013-2013 | 12 | 254.2 | 48 | 1526 | 873 | 31 | 5/53 | 28.16 | 3.43 | 49.2 | 1 | 1 | - | |
2013-2013 | 18 | 233.3 | 46 | 1401 | 831 | 45 | 7/52 | 18.46 | 3.55 | 31.1 | - | 4 | - | |
2013-2013 | 22 | 84.5 | 8 | 509 | 302 | 8 | 1/14 | 37.75 | 3.55 | 63.6 | - | - | - | |
2013-2013 | 11 | 246.2 | 48 | 1478 | 901 | 38 | 7/40 | 23.71 | 3.65 | 38.8 | 2 | 2 | 1 | |
2013-2013 | 2 | 18.0 | 1 | 108 | 66 | 4 | 3/33 | 16.50 | 3.66 | 27.0 | - | - | - | |
2013-2013 | 1 | 21.4 | 2 | 130 | 80 | 3 | 2/48 | 26.66 | 3.69 | 43.3 | - | - | - | |
2013-2013 | 1 | 29.0 | 5 | 174 | 108 | 4 | 2/44 | 27.00 | 3.72 | 43.5 | - | - | - | |
2013-2013 | 16 | 23.0 | 2 | 138 | 88 | 2 | 1/22 | 44.00 | 3.82 | 69.0 | - | - | - | |
2013-2013 | 4 | 61.5 | 7 | 371 | 243 | 13 | 6/61 | 18.69 | 3.92 | 28.5 | 1 | 1 | - | |
2013-2013 | 2 | 1.0 | - | 6 | 4 | - | - | - | 4.00 | - | - | - | - | |
2013-2013 | 1 | 30.0 | 4 | 180 | 123 | 3 | 2/86 | 41.00 | 4.10 | 60.0 | - | - | - | |
2013-2013 | 15 | 116.5 | 13 | 701 | 483 | 17 | 4/20 | 28.41 | 4.13 | 41.2 | 1 | - | - | |
2013-2013 | 3 | 24.1 | 3 | 145 | 101 | 2 | 1/27 | 50.50 | 4.17 | 72.5 | - | - | - | |
2013-2013 | 16 | 122.2 | 10 | 734 | 549 | 22 | 4/38 | 24.95 | 4.48 | 33.3 | 1 | - | - | |
2013-2013 | 15 | 167.3 | 26 | 1005 | 755 | 38 | 7/97 | 19.86 | 4.50 | 26.4 | 1 | 3 | 2 | |
2013-2013 | 3 | 36.0 | 1 | 216 | 168 | 6 | 3/64 | 28.00 | 4.66 | 36.0 | - | - | - | |
2013-2013 | 12 | 88.5 | 6 | 533 | 424 | 20 | 3/23 | 21.20 | 4.77 | 26.6 | - | - | - | |
2013-2013 | 11 | 11.2 | 1 | 68 | 64 | - | - | - | 5.64 | - | - | - | - | |
2013-2013 | 2 | 25.0 | 1 | 150 | 144 | 4 | 3/53 | 36.00 | 5.76 | 37.5 | - | - | - | |
2013-2013 | 4 | 16.0 | - | 96 | 102 | 2 | 1/21 | 51.00 | 6.37 | 48.0 | - | - | - | |
2013-2013 | 2 | 10.0 | - | 60 | 64 | - | - | - | 6.40 | - | - | - | - | |
2013-2013 | 1 | 7.0 | - | 42 | 49 | - | - | - | 7.00 | - | - | - | - | |
2013-2013 | 2 | 1.0 | - | 6 | 9 | - | - | - | 9.00 | - | - | - | - | |
2013-2013 | 2 | 0.0 | - | 0 | - | - | - | - | - | - | - | - | - | |
2013-2013 | 1 | 0.0 | - | 0 | - | - | - | - | - | - | - | - | - | |
2013-2013 | 17 | 0.0 | - | 0 | - | - | - | - | - | - | - | - | - | |
2013-2013 | 1 | 0.0 | - | 0 | - | - | - | - | - | - | - | - | - | |
2013-2013 | 6 | 0.0 | - | 0 | - | - | - | - | - | - | - | - | - | |
2013-2013 | 5 | 0.0 | - | 0 | - | - | - | - | - | - | - | - | - | |
2013-2013 | 6 | 0.0 | - | 0 | - | - | - | - | - | - | - | - | - | |
2013-2013 | 11 | 0.0 | - | 0 | - | - | - | - | - | - | - | - | - | |
2013-2013 | 6 | 0.0 | - | 0 | - | - | - | - | - | - | - | - | - | |
2013-2013 | 8 | 0.0 | - | 0 | - | - | - | - | - | - | - | - | - | |
2013-2013 | 8 | 0.0 | - | 0 | - | - | - | - | - | - | - | - | - | |
2013-2013 | 19 | 0.0 | - | 0 | - | - | - | - | - | - | - | - | - | |
2013-2013 | 2 | 0.0 | - | 0 | - | - | - | - | - | - | - | - | - | |
2013-2013 | 1 | 0.0 | - | 0 | - | - | - | - | - | - | - | - | - | |
2013-2013 | 4 | 0.0 | - | 0 | - | - | - | - | - | - | - | - | - | |
2013-2013 | 1 | 0.0 | - | 0 | - | - | - | - | - | - | - | - | - | |
2013-2013 | 6 | 0.0 | - | 0 | - | - | - | - | - | - | - | - | - | |
2013-2013 | 1 | 0.0 | - | 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