De Beers Diamond Oval
Kimberley, South Africa
4
T20 matches
3 Indian Premier League · 1 International T20 (Men)
167
Avg 1st innings
75%
Toss winner wins
50%
Bat first win %
50%
Chase win %
First innings
High score194
Low score140
Mean167
Median168
Mean wickets6.3
Mean run rate8.35
Second innings
Highest chase169
Lowest defended166
Mean defended180
Chase win %50%
Toss and result
Bat first %75%
Field first %25%
Toss winner wins75%
Bat first wins50%
Chase wins50%
Powerplay (overs 1-6)
Mean runs (1st)46.3
Mean runs (2nd)39.3
Run rate (1st)7.7
Max runs (1st)57
Mean wickets (1st)1.5
Middle (overs 7-15)
Mean runs (1st)62.3
Mean runs (2nd)73.3
Run rate (1st)6.9
Max runs (1st)70
Mean wickets (1st)2.3
Death (overs 16-20)
Mean runs (1st)58.5
Mean runs (2nd)39.8
Run rate (1st)11.7
Max runs (1st)68
Mean wickets (1st)2.5
Boundaries per match
Mean fours24.8
Mean sixes12
Median fours25
Median sixes14
Match totals
Avg runs per match319
Max runs per match380
First innings totals: scored and defended
| Total | Reached | Defended |
|---|---|---|
| 100+ | 100% | 50% |
| 110+ | 100% | 50% |
| 120+ | 100% | 50% |
| 130+ | 100% | 50% |
| 140+ | 100% | 50% |
| 150+ | 75% | 67% |
| 160+ | 75% | 67% |
| 170+ | 25% | 100% |
| 180+ | 25% | 100% |
| 190+ | 25% | 100% |
| 200+ | 0% | 0% |
| 210+ | 0% | 0% |
| 220+ | 0% | 0% |
| 230+ | 0% | 0% |
| 240+ | 0% | 0% |
Most runs at De Beers Diamond Oval
- JP Duminy96 runs · SR 171.4
- Andrew Symonds90 runs · SR 160.7
- Graeme Craig Smith77 runs · SR 116.7
- Swapnil Ashok Asnodkar70 runs · SR 106.1
- Brendan Taylor59 runs · SR 143.9
Most wickets at De Beers Diamond Oval
- Rohit Sharma5 wkts · econ 4.8
- Yusuf Pathan3 wkts · econ 7.47
- WPUJC Vaas2 wkts · econ 4.32
- Muthiah Muralidaran2 wkts · econ 5.5
- Ravindra Jadeja2 wkts · econ 6.32
Based on 4 T20 matches. Phase runs include extras, so the three phase averages sum to the first-innings average. Each phase averages only the innings that reached it — 4 first innings and 4 second innings got to over 16. The Hundred is 100-ball cricket and is never mixed into these figures.
Members can filter these by men's or women's cricket, day or night, and compare the ground against its country and the global average.
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