Best Batting Strike Rate in England vs Zimbabwe Head to Head Matches in One Day International

SrPlayerSRMInnRAve100s50s
1 Geraint Jones (ENG) 104.94 5419163.66 0 2
2 Marcus Trescothick (ENG) 102.29 5517835.60 1 0
3 Ashley Giles (ENG) 96.42 532727.00 0 0
4 Andy Caddick (ENG) 92.1 643535.00 0 0
5 Elton Chigumbura (ZIM) 92.02 5512731.75 0 1
6 Kevin Pietersen (ENG) 83.87 43104104.00 0 1
7 Hamilton Masakadza (ZIM) 77.58 339030.00 0 1
8 Graham Thorpe (ENG) 77.5 116262.00 0 1
9 Andrew Flintoff (ENG) 76.71 5411237.33 0 1
10 Michael Vaughan (ENG) 75.13 8828771.75 0 3
11 Paul Collingwood (ENG) 74.4 549331.00 0 1
12 Vikram Solanki (ENG) 73.91 121230627.81 1 1
13 Matt Prior (ENG) 72.91 113535.00 0 0
14 Sean Ervine (ZIM) 72.22 222626.00 0 0
15 Graeme Hick (ENG) 70.18 7718631.00 0 2
16 Andrew Strauss (ENG) 70 5510526.25 0 0
17 Neil Johnson (ZIM) 68.25 6617228.66 0 1
18 Nick Knight (ENG) 68.22 6613126.20 0 1
19 Ian Bell (ENG) 68.2 4416340.75 0 2
20 Heath Streak (ZIM) 68.18 9915025.00 0 1
21 Stuart Matsikenyeri (ZIM) 66.43 7718826.85 0 1
22 Nasser Hussain (ENG) 65.55 7721736.16 0 3
23 Mark Ealham (ENG) 60.86 647023.33 0 0
24 Tatenda Taibu (ZIM) 59.9 7713319.00 0 0
25 Guy Whittall (ZIM) 57.6 445317.66 0 0
26 Grant Flower (ZIM) 56.37 9925236.00 0 2
27 Andy Flower (ZIM) 55.69 8813216.50 0 0
28 Darren Maddy (ENG) 54.87 439030.00 0 1
29 Chris Read (ENG) 53.26 85499.80 0 0
30 Dion Ebrahim (ZIM) 51.68 8815319.12 0 1
31 Craig White (ENG) 51.07 547123.66 0 0
32 Alistair Campbell (ZIM) 50 779113.00 0 0
33 Stuart Carlisle (ZIM) 49.14 7714320.42 0 0
34 Vusimuzi Sibanda (ZIM) 46.57 223417.00 0 0
35 Murray Goodwin (ZIM) 46.42 669115.16 0 0
36 Brendan Taylor (ZIM) 45.45 556513.00 0 0
37 Alec Stewart (ENG) 44.13 336432.00 0 0
38 Anthony McGrath (ENG) 44.11 333015.00 0 0
39 Prosper Utseya (ZIM) 42.5 553434.00 0 0
40 Dave Houghton (ZIM) 39.18 112929.00 0 0
41 Mark Vermeulen (ZIM) 37.83 55285.60 0 0
42 John Rennie (ZIM) 35 334242.00 0 0
43 Neil Fairbrother (ENG) 27 222727.00 0 0
* include player scoring minimum 25 run
* include only matches which has ball faced data