Cricket has more data than almost any other sport. But not all analytics companies are built the same. Here is how to evaluate a provider before you commit.
Cricket has more data than almost any other sport. Every ball generates a set of measurable events — delivery type, speed, line, length, shot played, outcome, fielding position, wagon wheel coordinate. Across a T20 match alone, that's 240 balls minimum, each with a dozen or more data points attached.
The question isn't whether data exists. It's whether it's being captured accurately, structured usefully, and delivered in a format that actually drives decisions. That gap — between data that exists and data that works — is where cricket analytics companies are separated from each other.
Ball-by-ball coding quality — this is everything
The foundation of cricket analytics is the coded ball. Every downstream analysis — strike rates, bowling tendencies, phase-by-phase breakdowns, opposition scouting — is only as good as the data that was entered when that ball was bowled.
Bad coding creates compounding errors. A delivery miscategorised as a length ball instead of a good length, or a shot tagged incorrectly, corrupts every query built on top of it. At scale — across a tournament, a season, or multiple competitions — those errors accumulate into conclusions that are systematically wrong.
When evaluating a cricket analytics company, the first question is: who codes the data, how are they trained, and what quality control processes exist? A credible provider will have a structured coding methodology, trained operators, and a QA layer that catches errors before they enter the dataset.
Kadamba has been coding cricket data professionally for over 20 years — across Tests, ODIs, T20s, domestic competitions, and franchise leagues. The depth of that institutional knowledge is not something that can be replicated quickly.
Historical depth — how far back does the data go?
Analysis is comparative by nature. Understanding whether a batter is underperforming against spin requires knowing what their baseline performance against spin looks like — across conditions, formats, and opposition quality.
A provider with two or three seasons of data can tell you what happened recently. A provider with a decade or more of professionally coded data can tell you what it means.
Ask any prospective provider how many matches are in their database, how far back their historical data goes, and whether that historical data was coded to the same standard as their current output. Inconsistent historical data is nearly as problematic as no historical data.
Platforms like Cricket-21 are built on this kind of depth — over 25,000 professionally coded matches, structured consistently across formats and competitions, making genuine longitudinal analysis possible. Cricket-21 has the most extensive cricket database in the world.
Sport-specific expertise — generic analytics doesn't work for cricket
Cricket is structurally different from almost every other sport. It has formats that range from 10 overs to five days. It has phases within matches that require different analytical lenses. It has player roles — opener, finisher, death bowler, spinner — that demand role-specific metrics rather than generic performance scores.
A company with a generic sports analytics background that has pivoted into cricket will apply frameworks that don't fit. The metrics that matter in football or basketball don't translate cleanly. Cricket requires analysts who understand the game deeply — not just the data.
When evaluating providers, look for evidence of cricket-specific thinking: custom metrics built for the sport, phase-based analysis frameworks, role-specific KPIs, and an understanding of how conditions, pitch type, and opposition quality affect performance interpretation.
Data delivery — can you actually use what they give you?
Analytics is only valuable if it reaches the people who need it, in a format they can act on. A dataset sitting in a database that requires a data scientist to query is not useful to a coaching staff preparing for a match in 48 hours.
The best cricket analytics companies think about the full delivery chain — from raw data capture to the analyst's screen to the coach's pre-match briefing. That means APIs for technical integrations, clean visualisation layers for analysts, and report formats that work for non-technical end users.
Ask what formats data is delivered in, what the latency is between a match ending and data being available, and whether the provider can customise output for your specific workflow.
Multi-format and multi-competition coverage
A franchise preparing for a T20 competition needs data across T20 formats. A national board needs coverage across all formats and domestic competitions. A league operator needs data specific to their competition structure.
A capable provider covers the formats and competitions you actually care about — and can demonstrate that coverage with documented match counts, not just claims.
Questions to ask any cricket analytics company before signing
How many matches are in your database, and how far back does it go?
Who codes the data and what QA processes exist?
What is the typical turnaround from match end to data availability?
Can you customise metrics and report formats for our specific use case?
Which competitions and formats do you currently cover?
Can you provide references from organisations in a similar context to ours?
The answers to these questions will tell you more than any sales presentation.
Kadamba Technologies has been providing professional cricket data and analytics services for over 20 years. Cricket-21, our analytics platform, powers performance analysis for IPL franchises, international boards, and domestic associations across formats.
