Bowling Averages for List A in the 2016 - vs England
Bowling averages
Player | Span | Mat | Inns | Balls | Mdns | Runs | Wkts | BBI | Ave | Econ | SR | 5 | 10 | Ct | St |
KJ Abbott | 2016-2016 | 4 | 4 | 222 | 2 | 193 | 8 | 3/58 | 24.12 | 5.21 | 27.7 | - | - | 3 | - |
MQ Adams | 2016-2016 | 1 | - | 0 | - | - | - | - | - | - | - | - | - | - | - |
HM Amla | 2016-2016 | 5 | - | 0 | - | - | - | - | - | - | - | - | - | 4 | - |
Azhar Ali | 2016-2016 | 5 | 2 | 24 | - | 47 | - | - | - | 11.75 | - | - | - | - | - |
Babar Azam | 2016-2016 | 5 | - | 0 | - | - | - | - | - | - | - | - | - | 2 | - |
KMC Bandara | 2016-2016 | 1 | 1 | 60 | - | 83 | 1 | 1/83 | 83.00 | 8.30 | 60.0 | - | - | - | - |
F Behardien | 2016-2016 | 5 | 3 | 78 | - | 93 | 1 | 1/45 | 93.00 | 7.15 | 78.0 | - | - | 4 | - |
LD Chandimal | 2016-2016 | 5 | - | 0 | - | - | - | - | - | - | - | - | - | 3 | 1 |
TB de Bruyn | 2016-2016 | 1 | - | 0 | - | - | - | - | - | - | - | - | - | - | - |
Q de Kock | 2016-2016 | 5 | - | 0 | - | - | - | - | - | - | - | - | - | 3 | - |
M de Lange | 2016-2016 | 2 | 2 | 120 | - | 156 | 4 | 2/69 | 39.00 | 7.80 | 30.0 | - | - | - | - |
AB de Villiers | 2016-2016 | 5 | - | 0 | - | - | - | - | - | - | - | - | - | 5 | - |
JP Duminy | 2016-2016 | 4 | 2 | 54 | - | 75 | - | - | - | 8.33 | - | - | - | 4 | - |
F du Plessis | 2016-2016 | 5 | - | 0 | - | - | - | - | - | - | - | - | - | - | - |
D Elgar | 2016-2016 | 1 | 1 | 24 | - | 29 | 1 | 1/29 | 29.00 | 7.25 | 24.0 | - | - | - | - |
N Pradeep | 2016-2016 | 5 | 4 | 186 | - | 232 | 5 | 2/64 | 46.40 | 7.48 | 37.2 | - | - | 1 | - |
MD Gunathilaka | 2016-2016 | 5 | 4 | 108 | - | 102 | 4 | 3/48 | 25.50 | 5.66 | 27.0 | - | - | 2 | - |
Hasan Ali | 2016-2016 | 4 | 4 | 234 | - | 239 | 8 | 4/60 | 29.87 | 6.12 | 29.2 | - | - | 1 | - |
RR Hendricks | 2016-2016 | 1 | - | 0 | - | - | - | - | - | - | - | - | - | - | - |
Imad Wasim | 2016-2016 | 4 | 4 | 192 | - | 144 | 4 | 2/38 | 36.00 | 4.50 | 48.0 | - | - | 1 | - |
Imran Tahir | 2016-2016 | 5 | 5 | 288 | - | 292 | 8 | 3/46 | 36.50 | 6.08 | 36.0 | - | - | 1 | - |
Imrul Kayes | 2016-2016 | 3 | - | 0 | - | - | - | - | - | - | - | - | - | 1 | - |
S Randiv | 2016-2016 | 1 | 1 | 48 | - | 62 | - | - | - | 7.75 | - | - | - | - | - |
RAS Lakmal | 2016-2016 | 5 | 5 | 204 | - | 207 | 5 | 2/65 | 41.40 | 6.08 | 40.8 | - | - | - | - |
MF Maharoof | 2016-2016 | 4 | 3 | 150 | 1 | 164 | 1 | 1/59 | 164.00 | 6.56 | 150.0 | - | - | - | - |
Mahmudullah | 2016-2016 | 3 | 1 | 18 | - | 24 | - | - | - | 8.00 | - | - | - | 1 | - |
Mashrafe Mortaza | 2016-2016 | 3 | 3 | 172 | 1 | 132 | 8 | 4/29 | 16.50 | 4.60 | 21.5 | - | - | 1 | - |
AD Mathews | 2016-2016 | 5 | 3 | 66 | - | 47 | 2 | 2/22 | 23.50 | 4.27 | 33.0 | - | - | - | - |
BKG Mendis | 2016-2016 | 5 | 1 | 12 | - | 13 | - | - | - | 6.50 | - | - | - | 2 | - |
Mohammad Amir | 2016-2016 | 4 | 4 | 216 | 2 | 194 | 4 | 3/50 | 48.50 | 5.38 | 54.0 | - | - | - | - |
Mohammad Hafeez | 2016-2016 | 1 | - | 0 | - | - | - | - | - | - | - | - | - | 1 | - |
Mohammad Irfan | 2016-2016 | 1 | 1 | 30 | 1 | 26 | 2 | 2/26 | 13.00 | 5.20 | 15.0 | - | - | 1 | - |
Mohammad Nawaz | 2016-2016 | 4 | 4 | 183 | - | 179 | 2 | 1/31 | 89.50 | 5.86 | 91.5 | - | - | 1 | - |
Mohammad Rizwan | 2016-2016 | 2 | - | 0 | - | - | - | - | - | - | - | - | - | 2 | - |
M Morkel | 2016-2016 | 3 | 3 | 170 | - | 164 | 4 | 2/31 | 41.00 | 5.78 | 42.5 | - | - | 2 | - |
CH Morris | 2016-2016 | 3 | 3 | 162 | - | 185 | 4 | 3/74 | 46.25 | 6.85 | 40.5 | - | - | 1 | - |
Mosaddek Hossain | 2016-2016 | 3 | 3 | 84 | - | 77 | 2 | 1/5 | 38.50 | 5.50 | 42.0 | - | - | 2 | - |
Mosharraf Hossain | 2016-2016 | 1 | 1 | 18 | - | 23 | - | - | - | 7.66 | - | - | - | - | - |
Mushfiqur Rahim | 2016-2016 | 3 | - | 0 | - | - | - | - | - | - | - | - | - | 3 | - |
Nasir Hossain | 2016-2016 | 2 | 2 | 102 | 1 | 82 | 2 | 1/29 | 41.00 | 4.82 | 51.0 | - | - | 1 | - |
MDKJ Perera | 2016-2016 | 5 | - | 0 | - | - | - | - | - | - | - | - | - | 2 | - |
AM Phangiso | 2016-2016 | 1 | 1 | 42 | - | 57 | - | - | - | 8.14 | - | - | - | 1 | - |
AL Phehlukwayo | 2016-2016 | 1 | 1 | 54 | - | 69 | 1 | 1/69 | 69.00 | 7.66 | 54.0 | - | - | 1 | - |
S Prasanna | 2016-2016 | 5 | 4 | 212 | - | 234 | 1 | 1/43 | 234.00 | 6.62 | 212.0 | - | - | - | - |
K Rabada | 2016-2016 | 4 | 4 | 227 | 2 | 179 | 9 | 4/45 | 19.88 | 4.73 | 25.2 | - | - | 1 | - |
RR Rossouw | 2016-2016 | 3 | - | 0 | - | - | - | - | - | - | - | - | - | 1 | - |
Sabbir Rahman | 2016-2016 | 3 | - | 0 | - | - | - | - | - | - | - | - | - | 2 | - |
Sami Aslam | 2016-2016 | 3 | - | 0 | - | - | - | - | - | - | - | - | - | - | - |
Sarfaraz Ahmed | 2016-2016 | 5 | - | 0 | - | - | - | - | - | - | - | - | - | 3 | - |
Shafiul Islam | 2016-2016 | 3 | 3 | 161 | - | 157 | 4 | 2/59 | 39.25 | 5.85 | 40.2 | - | - | - | - |
MD Shanaka | 2016-2016 | 4 | 2 | 24 | - | 33 | - | - | - | 8.25 | - | - | - | 2 | - |
Shakib Al Hasan | 2016-2016 | 3 | 3 | 162 | - | 154 | 3 | 2/59 | 51.33 | 5.70 | 54.0 | - | - | 1 | - |
Sharjeel Khan | 2016-2016 | 5 | - | 0 | - | - | - | - | - | - | - | - | - | 1 | - |
Shoaib Malik | 2016-2016 | 4 | 4 | 96 | - | 119 | - | - | - | 7.43 | - | - | - | 2 | - |
Tamim Iqbal | 2016-2016 | 3 | - | 0 | - | - | - | - | - | - | - | - | - | 1 | - |
Taskin Ahmed | 2016-2016 | 3 | 3 | 138 | - | 131 | 3 | 3/47 | 43.66 | 5.69 | 46.0 | - | - | - | - |
WU Tharanga | 2016-2016 | 5 | - | 0 | - | - | - | - | - | - | - | - | - | - | - |
Umar Gul | 2016-2016 | 3 | 3 | 156 | 1 | 162 | 3 | 1/39 | 54.00 | 6.23 | 52.0 | - | - | 2 | - |
DJ Vilas | 2016-2016 | 1 | - | 0 | - | - | - | - | - | - | - | - | - | - | - |
GC Viljoen | 2016-2016 | 1 | 1 | 60 | - | 69 | - | - | - | 6.90 | - | - | - | - | - |
Wahab Riaz | 2016-2016 | 3 | 3 | 156 | - | 186 | 1 | 1/46 | 186.00 | 7.15 | 156.0 | - | - | - | - |
D Wiese | 2016-2016 | 4 | 4 | 234 | - | 245 | 6 | 3/50 | 40.83 | 6.28 | 39.0 | - | - | 2 | - |
Yasir Shah | 2016-2016 | 2 | 2 | 93 | - | 110 | - | - | - | 7.09 | - | - | - | - | - |
K Zondo | 2016-2016 | 1 | - | 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