IPL Predictions

What our data says about how batters are likely to score, and how to read a probability without being misled by it

The current forecast

No IPL match is being forecast right now. The most recent season in our data is 2026. The IPL runs for roughly two months a year, and we publish a forecast only once a fixture is confirmed and a squad is known, so between seasons this space is deliberately empty rather than filled with a guess. Everything below is true whether or not a match is on.

Current predictionsIPL home

How to read a batting forecast

Three ranges, not a score

We do not predict that a batter will make exactly 42. We give the probability of them finishing under 20, between 20 and 49, or on 50 and above. A single number would look precise and be worth less.

The number that makes the rest readable

Across every T20 innings in our data, 9.4% reach fifty. Even the most reliable converter we hold gets there about a quarter of the time. So a 20% chance of a fifty is a strong call, not a modest one.

Getting out cheaply is normal

For almost every batter, the single most likely outcome is under 20. That is not pessimism about a player, it is the shape of T20 batting, and any forecast that hides it is selling something.

Conditions move it more than reputation

The same batter carries a different forecast against a strong attack on a difficult surface than against a weak one on a flat deck. A career average alone is a poor guide to a single innings.

How evenly matched the IPL is

The auction spreads talent evenly across the ten franchises, and it shows up in the results. The home side has won 53.5% of the 913 IPL matches in our data, and the side batting first has won 45.5% of the 899 matches where we know who batted first. Both sit close to a coin toss, and between them they account for most of what separates one IPL match from another. It is why chasing has been the better half of the toss, and why the ground a match is played on tells you more than the badge on the shirt. Batting is where the data genuinely separates players, so that is what we forecast.

Where the ground genuinely does change things, we show it: the head to head explorer reports what has actually happened when two clubs meet at a venue, with the sample size beside every figure.

What this page covers

Our IPL ball-by-ball records begin in 2013. The first five seasons, 2008 to 2012, are outside them, so a head to head count here covers the meetings since 2013 rather than every meeting ever played. Every figure on this page is a figure over the matches we hold, and where that differs from a published total we say so rather than round the gap away.

📰 More on how we read the numbers

See all →
Analysis

What a Par Score Actually Looks Like at the Women's Asia Cup

India, Pakistan, Sri Lanka and Bangladesh average 117.6 in our records, well below the 133.1 that full-member women's T20 cricket produces as a whole. The gap is worth understanding before the knockouts.

Analysis by Deeptanshu Pandey¡ 2 Sept 2026¡ 5 min read
Analysis

Two Thirds of Women's T20 Internationals Are Not Between the Teams You Watch

Across the 2,100 women's T20 internationals in our records, most involve an associate nation. The scoring gap between those matches and full-member cricket is 21 runs an innings.

Analysis by Deeptanshu Pandey¡ 31 Aug 2026¡ 6 min read
Analysis

The Fastest Scorers in One-Day Cricket: Buttler Clears 116

Jos Buttler has scored at 116 runs per hundred balls in our one-day records, the quickest of anyone with a substantial sample. AB de Villiers did it at 101 while averaging 53.9.

Analysis by Deeptanshu Pandey¡ 27 Aug 2026¡ 5 min read