T20 Cricket Scoring Trends: A Fair Season-by-Season Analysis
Have T20 scores increased over time? A fair analysis of T20 cricket scoring trends needs a consistent competition, comparable innings, and clear metrics. Comparing one recent World Cup with an old bilateral series can confuse changes in rules, venues, teams, and data quality with a true scoring trend.
Define the question first
“Scoring has changed” can mean runs per over, boundary rate, dot-ball rate, wickets lost, or par totals. Pick a primary outcome before looking at the chart. Decide whether to include only completed innings, how to handle rain-reduced matches, super overs, abandoned games, and changing tournament formats.
Compare phases consistently
Split each innings into powerplay, middle overs, and death overs using the same over ranges for every season. For each phase calculate runs per legal ball, boundary percentage, wickets per over, and dot-ball percentage. Use legal deliveries as the denominator; wides and no-balls affect score but do not count as legal balls.
Control the comparison
Show a distribution or median as well as an average, since one extreme innings can pull the mean upward. Break down by venue or team only when there are enough matches. Consider rule changes and competition expansion, but don’t claim a rule caused a change unless your design can separate that effect from other factors.
Make the chart honest
Label the season range, competition, number of innings, source, and definitions. A line chart of each season’s run rate is a useful overview; small multiples can show phase differences. Add uncertainty or at least avoid overinterpreting tiny samples. Update the page when you add seasons and record what changed.
Where the analysis can go wrong
- Mixing men's, women's, international, franchise, and domestic matches without labeling the mix.
- Using different ball-count conventions across sources.
- Comparing seasons with different sample sizes as if they were equally precise.
- Inferring that a batter or team is “better” from one aggregate metric.
Try it: create a small table with season, competition, innings count, legal balls, runs, wickets, and phase. Validate totals against source scorecards before drawing the first chart.
Related: learn how to validate an expected-goals analysis →
Use a documented source and cite its coverage. The ICC explains its ranking methods; rankings are not a substitute for ball-by-ball match data.