How to Read Batting Bucket Predictions
Our score range predictions show the probability of a batsman scoring in specific ranges. Here's how to interpret them for maximum insight.
When you visit a player's profile on SportsPulse, you will notice a section showing score range predictions, what we call "bucket predictions". These are among our most useful analytical tools, but they require a bit of explanation to get the most out of them.
What Are Bucket Predictions?
Instead of predicting that a batsman will score exactly 42 runs, which would be unrealistically precise, we predict the probability of them scoring within specific ranges or "buckets":
Under 20 runs: a low score. A quick dismissal, or a start that never accelerated. 20 to 49 runs: a real contribution. The batter got in, without going on to a fifty. 50 or more: the innings that shapes a T20 match.
Each bucket carries a probability drawn from the player's record, their recent form, and the specific match in front of them.
Reading the probabilities
Say the forecast for a top-order batter comes out like this:
Under 20: 48% | 20 to 49: 37% | 50+: 15%
Three things follow. The most likely single outcome is under 20, and that is true of almost every batter in T20 cricket. Getting out cheaply is the ordinary result even for great players, which is why T20 batting averages sit where they do.
Second, 15% for a fifty is not a low number, and this is where the buckets earn their keep. Across the whole of our T20 data, 9.4% of innings reach fifty. Even Jos Buttler, the most reliable converter in our records, gets there in 25.5% of his. So 15% for one match is already a batter we rate well above the field, and anything approaching 30% is a strong call rather than a routine one.
Third, the two lower buckets together are 85%, which is the honest shape of T20 batting. Any forecast that routinely puts a fifty at even money is not describing this sport.
How context changes it
The same player moves with the match. Against a weaker attack on a good surface:
Under 20: 40% | 20 to 49: 38% | 50+: 22%
Against a strong attack on a difficult one:
Under 20: 58% | 20 to 49: 32% | 50+: 10%
Those swings are the genuine effect of conditions and opposition, and they are the reason a career average alone is a poor guide to a single innings.
What a strong profile looks like
A batter with a low under-20 share and a fifty-chance meaningfully above the 9.4% base rate is being rated highly for that match. Set against that baseline rather than against gut feel, the differences between players are smaller and more interesting than they first appear.
Using the buckets for fantasy cricket
Comparing two players' bucket profiles tells you more than comparing their career averages, because it separates ceiling from floor. A batter with a high 50+ share is the one who can win a week outright. A batter whose weight sits in the 20 to 49 band is the steadier pick. Neither is better in the abstract; it depends on whether you need points or need a differential.
The Honest Truth About Predictions
We believe in transparency. Our bucket predictions are generated by machine learning models trained on historical IPL data, and they represent genuine statistical analysis. However, cricket is inherently unpredictable, and no model can account for every variable.
Think of bucket predictions as informed estimates rather than certainties. They tell you what history suggests is likely, not what will definitely happen. The joy of cricket, and what makes prediction so compelling, is that the unlikely happens regularly enough to keep us all watching.