Answer first: strike rate is runs per hundred balls and measures speed. Batting average is runs per dismissal and measures reliability. Bowling economy is runs per over and measures containment. None of the three is meaningful without knowing which phase of the innings a player operated in and how many innings the figure is built from.
Cricket statistics are unusually easy to quote and unusually easy to misuse. A single number gets pulled out of a scorecard, put on a graphic, and shared a hundred thousand times before anyone asks what it was measuring. This guide is the antidote: the actual formulas, what they include, and what they leave out.
Batting Strike Rate
Formula: (runs ÷ balls faced) × 100.
A batter who scores 45 from 30 balls has a strike rate of 150. In a Twenty20 innings of 120 balls, tempo is the scarce resource, which is why this number has become the headline batting statistic of the format.
What it hides: everything about risk. A batter who scores 12 from 4 balls and is then dismissed has a strike rate of 300 and has contributed almost nothing. Strike rate has no denominator for dismissals at all, which is why it must always be read next to a volume figure.
Batting Average
Formula: runs ÷ number of dismissals.
The critical detail is that the divisor is dismissals, not innings. Every not-out innings adds runs without adding to the denominator. For a lower-order batter who is frequently unbeaten at the end of a chase, this inflates the average considerably relative to what they actually contribute.
What it hides: tempo. A batter averaging 35 at a strike rate of 110 in a T20 side may be actively costing runs even while looking statistically solid, because the balls they consumed could have been used faster by somebody else.
Bowling Economy and Bowling Average
Economy: runs conceded ÷ overs bowled. An economy of 6.50 means six and a half runs an over.
Bowling average: runs conceded ÷ wickets taken. Lower is better in both cases.
In Test cricket, bowling average dominates because wickets end innings. In T20 the innings ends after twenty overs whatever happens, so preventing runs has value in its own right. A bowler who goes wicketless for 18 runs in four overs has usually done a better job for the side than one who takes two for 48. This is why economy is the number that leads most T20 bowling conversations.
Phase Context Changes Everything
A T20 innings has three distinct phases and each has a different natural scoring rate and risk profile. Comparing players across phases without adjusting is the single most common error in casual analysis.
- Powerplay (overs 1–6). Fielding restrictions, hard new ball, highest boundary opportunity and highest dismissal risk.
- Middle (overs 7–15). Spread field, usually spin. Scoring rates typically dip and the job shifts towards rotating strike and picking bowlers to attack.
- Death (overs 16–20). Specialist bowling, set fields, maximum aggression. High strike rates here are also high-variance.
A strike rate of 140 in the middle overs and a strike rate of 140 at the death are two entirely different achievements. Any comparison worth reading states the phase.
The Small-Sample Trap
This is the one that catches out almost everybody, especially with young players. Statistics stabilise slowly. Over five or six innings, a single hundred or a single golden duck moves a career figure enormously. Over a hundred innings, it barely registers.
The practical consequence is that a spectacular debut season should be read as evidence of what a player can do rather than what they typically will do. Our Vaibhav Suryavanshi records and stats guide applies exactly this discipline to the most-searched young batter in Indian cricket, and the young T20 batting core guide uses role-based rather than number-based comparison for the same reason.
Newer Metrics Worth Knowing
- Boundary percentage. The share of balls faced that went for four or six. A useful proxy for how a batter generates runs.
- Dot-ball percentage. For bowlers, often more informative than economy alone, since dots create the pressure that produces wickets.
- Control percentage. The proportion of deliveries a batter met as intended. A useful corrective when a scratchy innings produces a flattering score.
- Phase-split figures. Any of the above, broken out by powerplay, middle and death. Available on ESPNcricinfo through its statistics filters.
What Statistics Cannot Do
They cannot tell you what happens next. Every number on this page is a description of completed events, and cricket produces genuinely random outcomes at a rate that defeats confident forecasting — which is exactly why 6 Club publishes no odds, tips, predictions or betting markets on any match or player. Reading statistics well makes you a better-informed viewer, not a fortune teller. Our guide to prediction games and responsible play and the India vs Zimbabwe series guide take the same line.
Something Light Between Overs
If you want something to do during the strategic timeouts that has no bearing on the match at all, our match-day instant games guide explains how the quick 6 Club rounds work. You can also browse the games hub, visit the 6 Club home page, or register an account.
Play responsibly: 6 Club games are entertainment for adults aged 18 and over, not income, and never a bet on a cricket match. Set a budget, take breaks, and stop if play stops feeling in control.
Frequently Asked Questions
How is a batting strike rate calculated in T20?
Strike rate is runs scored divided by balls faced, multiplied by one hundred. A batter who makes 40 from 25 balls has a strike rate of 160, meaning 160 runs per 100 balls at that tempo. It measures speed of scoring only and says nothing at all about how often the batter gets out.
How is a batting average calculated?
Batting average is total runs divided by the number of times dismissed, not the number of innings played. Not-out innings add runs to the top of that fraction without adding to the bottom, which is why players who bat late in the order and finish innings often show averages that look higher than their contribution suggests.
Which matters more in T20, strike rate or average?
Neither on its own. They answer different questions: how fast, and how reliably. A T20 side needs both distributed across the order, with faster scoring concentrated where the risk is worth taking and more reliable scoring where a collapse would be costly. Judging every batter by one number is the most common analytical mistake in the format.
What is bowling economy rate and why does it matter so much?
Economy is runs conceded divided by overs bowled, so an economy of 7.00 means seven runs an over on average. In a twenty-over format where a side has only 120 balls, containment is worth almost as much as taking wickets, which is why economy is usually the headline bowling number in T20 rather than the bowling average.
What does phase-adjusted analysis mean?
It means comparing players against the difficulty of the overs they actually operated in rather than against each other flat. Powerplay overs, middle overs and death overs have very different typical run rates and dismissal rates, so a raw comparison between a powerplay opener and a death-overs finisher is not a like-for-like comparison at all.
How many innings before a T20 statistic means anything?
There is no exact threshold, but the smaller the sample the more volatile the figure. A handful of innings can be dominated by one exceptional or one terrible knock, so early numbers are best read as an indication of range rather than a settled level. A full season or more gives a far more honest picture.
Where should I look up reliable cricket statistics?
ESPNcricinfo maintains the standard public statistical database, with full scorecards, career records and filtering by format, phase and opposition. It is the sensible reference point for any figure you want to check, and considerably more reliable than social media graphics or aggregator sites.
Do these statistics help predict match results?
No, and 6 Club publishes no predictions, odds, tips or betting markets of any kind. Statistics describe what has already happened and give a sense of a player’s tendencies. They cannot tell you what will happen in a specific match, which is precisely why sport is worth watching in the first place.