StatsBomb is one of the most respected football event-data providers in the world — used by Liverpool, Arsenal, the FA, and dozens of professional clubs. KiqIQ is not a competitor on data depth or quality. It is the consumer-facing decision layer that converts StatsBomb-derived signals (via public republishing) into individual bettor decisions through Poisson modelling, EV calculation, and Kelly staking.
StatsBomb is widely regarded as having one of the highest-quality proprietary xG models in football, with unique pressure-data tagging that no public data source replicates. KiqIQ does not produce its own event data and does not pretend to. The platforms occupy different layers of the football intelligence stack — StatsBomb provides the data and analysis layer for clubs and analysts; KiqIQ provides the decision layer for individual bettors. Use both together.
| Feature | KiqIQ | StatsBomb |
|---|---|---|
| Free public access — no enterprise contract required | ✓ | — |
| Poisson distribution model in browser | ✓ | — |
| 28 free betting calculators | ✓ | — |
| Bet tracker with ROI and P&L | ✓ | — |
| Expected Value framework | ✓ | — |
| Kelly criterion staking | ✓ | — |
| 93+ strategy and competition guides | ✓ | — |
| Consumer-friendly fixture pages | ✓ | — |
| Best-in-class proprietary xG model with shot-impact context | — | ✓ |
| Pressure data — defensive actions logged with locations | — | ✓ |
| StatsBomb IQ — full match xG, xT, defensive coverage maps | — | ✓ |
| Free open data for academic and educational research | — | ✓ |
| Used by clubs (Liverpool, Arsenal, etc.) and federations | — | ✓ |
| Custom tactical analysis APIs | — | ✓ |
| Set piece and dead-ball context tagging | — | ✓ |
StatsBomb publishes a free Open Data repository on GitHub containing event data for several historical competitions (Women's World Cup, Indian Super League, NWSL, La Liga). This is the highest-quality public football event data available — the same kind of data StatsBomb sells to clubs. KiqIQ users with development skills can pull this data to calibrate their own xG models, then feed the calibrated outputs back into the Poisson calculator for fixture pricing.
Open Poisson Calculator →StatsBomb xG figures for Premier League and other top competitions are republished by FBref, Understat, and other public data sites. KiqIQ's analytical workflow uses these republished xG values as Poisson inputs — the underlying signal is the same StatsBomb signal, just one step removed. The advantage: KiqIQ provides the decision framework that converts xG into a betting decision, which neither StatsBomb nor the public data sites do.
xG to Value Guide →StatsBomb operates on the data and analysis side of the football intelligence stack — the same level as Opta and Wyscout. KiqIQ operates on the decision side: probability modelling, EV calculation, Kelly staking, bet tracking. The two are designed to complement each other. A bettor using StatsBomb Open Data via FBref can feed those numbers into KiqIQ's framework to produce structured fixture-level decisions.
EV Framework Guide →Browser-based scoreline distribution model — turn StatsBomb-derived xG into match probabilities in 60 seconds.
Kelly staking, EV, accumulator value, arbitrage detection — the decision toolkit that wraps around enterprise data.
BTTS, Asian Handicap, correct score, player props, lay betting, and 18 competition-specific frameworks.
The decision framework for individual bettors that StatsBomb's enterprise clients build internally.
How to convert any xG source — including StatsBomb-derived numbers — into a probability edge against bookmaker prices.
A repeatable 90-minute weekly routine for finding value across a fixture slate without enterprise data infrastructure.
StatsBomb sits with Opta and Wyscout in the enterprise data layer — building proprietary models, supplying clubs and federations with structured event data, and powering professional analytics teams. KiqIQ sits in the consumer decision layer — taking signals that have flowed down to public-data sites and converting them into individual-bettor decisions. The two layers are designed to interoperate.
Pro-grade event data with proprietary xG model and pressure tagging. Sold to clubs, leagues, broadcasters.
FBref, Understat, fan sites republish summarised xG and event data — analysis-ready but not decision-ready.
Decision layer for individual bettors. Converts public xG into match probabilities and EV-graded bets.
Free to use — 28 calculators, 93+ guides, no registration required.
KiqIQ vs FootyGPT →
AI chat vs analytical decision layer
KiqIQ vs ChatGPT →
Football-specific intelligence vs generalist AI
KiqIQ vs ScoreAI →
KiqIQ's value-betting depth vs ScoreAI's match focus
KiqIQ vs FootyAI →
Calculator + glossary stack vs lightweight AI
KiqIQ vs AItipster →
Probabilities + tools vs tipster-style picks
KiqIQ vs Footinsights →
KiqIQ's methodology vs Footinsights' UI
