A bargain feed can become an expensive workaround.
A fixture screen can show 1.7 xG without storing a single shot. A model built to test its own assumptions needs the shots themselves, ideally with locations, outcomes, and consistent event definitions.
League coverage is not the whole contract. A low-cost feed may update too late for live features, omit historical events, or restrict redistribution in a public app. Before comparing prices, it helps to decide whether the data will be modeled, displayed, or used in a scouting workflow.
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- Football api
- Opta
- Products wyscoutA match xG total can show chance quality at a glance, but it cannot reveal how individual shots were valued. Building or inspecting a model calls for shot-level records and relevant fields, such as location and shot type—not just a team total. The guide to expected goals explains what those figures represent.
- 01 Event data and xG for modeling and scouting.
StatsBomb provides API-accessible football event data and xG for statistical models, scouting tools, and automated analysis. It suits projects that work with individual actions rather than simply showing a match-level xG figure.
Combines xG with fixtures, results, and statistics.
Sportmonks brings expected goals into the same football API used for fixtures, results, and statistics. That makes it a practical fit for an app where xG appears beside a match score, in a schedule view, or in an automated results recap. The match-centered approach is less compelling when a model needs to inspect individual shots rather than display xG for a fixture.
Check availability before building around it: xG depends on the subscription and coverage. A sample from each target league should confirm the fields the app needs, how far back the data runs, and whether updates arrive in time for its screens or scheduled jobs.
A sensible choice when fixtures are the backbone of the product and xG adds context to them. For shot-level modeling, confirm that the available data has enough detail before committing to the integration.
Football feeds and xG for analytics and media applications.
Opta, from Stats Perform, is a professional football data option for analytics teams and media applications. It fits organizations planning a supported data integration rather than a small experimental feed. For teams deciding whether premium xG data is worthwhile, the intended product and its data requirements should be clear before procurement begins.
Event records and xG for scouting workflows.
Wyscout’s data API offers event records and advanced metrics, including xG, within a football scouting platform. That makes it most relevant when xG supports player and match evaluation rather than a public-facing score display.
Before building around it, request sample records for the leagues and competitions under review. Check whether the available xG is attached to individual shots or only reported as an aggregate, and whether shot events can be linked reliably to players and matches. Confirm API access, export limits, and permission to retain or share derived analysis; access to the scouting platform should not be assumed to grant every data use.
A strong candidate when event data and xG feed an existing scouting process. Its value depends on the shot detail and usage rights available under the specific agreement, so a workflow-sized sample matters more than a feature list.
Include a recent fixture and a match with a penalty or disputed shot.
Check whether xG appears only as a match total or also on individual shots, and note missing fields.
Confirm that team, player, fixture, and competition IDs can be joined to existing data.
Record when values arrive or change, then compare request limits and pricing at the expected volume.
Verify whether storage, derived models, public displays, and redistribution are permitted.
Different xG totals may reflect shot coverage, penalty treatment, model design, or later corrections—not necessarily an error.
For shot-level modeling, start with StatsBomb and verify event coverage for the target competition. For a fixture-led app, test Sportmonks first: its match data may be a better fit than a richer event feed. Opta is the stronger shortlist candidate for a contracted professional product; Wyscout merits a look when scouting is the primary workflow. In every case, a usable sample and workable rights matter more than the longest feature list.
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