Batting average is one of the most commonly used statistics in cricket.
It provides a way to measure how many runs a batter scores, on average, per dismissal.
Unlike strike rate, which focuses on scoring speed, batting average focuses on runs scored relative to the number of times the batter has been dismissed.
This makes batting average particularly useful when comparing consistency and productivity across innings.
What Is Batting Average in Cricket?
A batter’s batting average is generally calculated by dividing:
Total Runs Scored ÷ Number of Times Dismissed
For example, suppose a batter scores:
- 40
- 70
- 30
- 60
and is dismissed in all four innings.
Total runs:
40 + 70 + 30 + 60 = 200
Dismissals:
4
Batting average:
200 ÷ 4 = 50
The batter’s average is therefore:
50.00
Batting Average Formula
The basic formula is:
Batting Average = Total Runs ÷ Dismissals
The important word is dismissals.
It is not simply the number of innings played.
Why Not-Out Innings Matter
Not-out innings can significantly affect batting average.
Suppose a batter scores:
- 50*
- 50
- 50
The first innings is not out.
Total runs:
150
Dismissals:
2
Batting average:
150 ÷ 2 = 75
Therefore, the batter’s average is:
75.00
This demonstrates why batting average cannot simply be calculated by dividing total runs by innings played.
Batting Average vs Strike Rate
These statistics measure different things.
Batting Average
Measures runs per dismissal.
Strike Rate
Measures how quickly a batter scores runs.
Your existing Cricket Strike Rate and Economy Rate Explained article can serve as the supporting page for strike-rate education.
A batter can have:
- High average
- High strike rate
or:
- High average
- Low strike rate
depending on playing style and format.
Example
Consider two hypothetical batters.
| Player | Runs | Dismissals | Average |
| Player A | 600 | 12 | 50.00 |
| Player B | 600 | 20 | 30.00 |
Both have scored 600 runs.
But Player A has been dismissed fewer times.
Therefore, Player A has the higher batting average.
Batting Average in Test Cricket
Batting average has traditionally been especially important in Test cricket because matches involve longer innings and multiple opportunities to bat.
A batter who consistently scores substantial numbers of runs without frequent dismissals can build a strong average.
However, averages should always be interpreted within context.
Important factors include:
- Number of matches
- Opposition quality
- Playing conditions
- Home vs away performance
- Era
- Batting position
Batting Average in ODI Cricket
In ODI cricket, batting average is also widely used.
Because ODI innings are limited, the statistic can help describe how consistently a batter contributes runs.
It should still be considered alongside strike rate.
A batter scoring quickly can have a different tactical value from a batter who scores more slowly but consistently.
Batting Average in T20 Cricket
T20 cricket introduces another important consideration.
Because innings are short, strike rate often receives significant attention.
However, batting average can still provide useful information about consistency and dismissals.
For T20 analysis, it is often more useful to examine:
- Batting average
- Strike rate
- Runs per innings
- Boundary percentage
- Powerplay performance
- Death-over performance
rather than relying on one number.
Does a High Batting Average Mean a Batter Is Better?
Not necessarily.
Statistics need context.
For example, a batter with:
Average: 45
and:
Strike rate: 115
may play a very different role from a batter with:
Average: 32
and:
Strike rate: 155
The first player may provide consistency, while the second may provide greater scoring speed.
Their value depends on the format and team requirements.
Batting Average and Not Outs
Not-outs are one of the most important concepts when understanding batting average.
Consider:
500 runs from 15 innings
If the batter was dismissed 10 times:
500 ÷ 10 = 50
Average:
50
But if the batter was dismissed 14 times:
500 ÷ 14 = 35.71
The same number of runs can therefore produce a very different batting average.
Batting Average Across Different Formats
A player’s average can vary considerably between:
- Test cricket
- ODI cricket
- T20 cricket
This is normal because each format has different conditions.
Tests allow longer innings.
ODIs provide a fixed number of overs.
T20s place greater emphasis on rapid scoring.
Therefore, comparing averages across formats without context can be misleading.
Common Batting Average Mistakes
Mistake 1: Dividing Runs by Innings
The denominator is generally dismissals, not innings.
Mistake 2: Ignoring Not-Outs
Not-outs affect the calculation significantly.
Mistake 3: Comparing Formats Without Context
A Test average and T20 average should not automatically be treated as equivalent.
Mistake 4: Ignoring Strike Rate
Average measures one aspect of batting performance.
Strike rate measures another.
Batting Average vs Net Run Rate
These statistics serve completely different purposes.
Batting average is an individual player statistic.
NRR is generally a team tournament statistic used in limited-overs competitions.
Your existing Net Run Rate Explained article covers the team-level calculation.
Final Thoughts
Batting average is one of cricket’s most useful traditional statistics.
It provides a simple way to understand how many runs a batter contributes per dismissal while also showing why not-out innings matter.
For better analysis, batting average should be viewed alongside strike rate, runs scored, batting position and the format of cricket being played.
Frequently Asked Questions
What is batting average in cricket?
Batting average generally measures total runs scored divided by the number of times a batter has been dismissed.
How is batting average calculated?
The basic formula is total runs divided by dismissals.
Do not-outs affect batting average?
Yes. A not-out innings does not normally count as a dismissal, which can increase the resulting average.
Is batting average the same as strike rate?
No. Average relates to runs per dismissal, while strike rate measures scoring speed.
Is a higher batting average always better?
Generally, a higher average indicates greater runs per dismissal, but statistics should be considered alongside format, role and strike rate.
