Developer in a PredictIQ Pro hoodie working on a laptop beside a football
New: spatial intelligence, who really controls a match

Football probabilities you can verify.
Through an API, an MCP server and a public track record.

Calibrated win, draw and loss probabilities, expected goals and consistent goals markets for every match we cover. Every pick is saved before kickoff and never edited, so you can check the record yourself.

14-day full access · Card required, nothing charged until it ends

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Building an app, bot or AI agent? Read the API docs · MCP server

Top Picks hit rate
69%
Settled picks
273
Leagues
100+

69% of 273 settled picks (95% range 63–74%). Top Picks are chosen for confidence, so a high rate is expected; how well the probabilities themselves hold up is on the accuracy page.

Top Picks are saved before kickoff and never edited. See the picks · calibration and log loss

Try it, no signup, no card

See the response before you sign up

Skip building models from scratch. Each match comes with pre-computed win, draw and loss probabilities and expected goals. Run a real request and look at the JSON.

curl https://api.predictiqpro.com/predictions/live \
  -H "Authorization: Token YOUR_API_KEY"
Response
// Press "Run request" to call the API
New · Spatial intelligenceMeasuring has just started

The score says who won.
This shows who was in control.

Possession and shots miss the shape of a match. We measure where passes, tackles and interceptions happen, and turn it into three plain numbers: who owns the territory, whether the press works, and how high a team defends. They sit beside every probability, so a forecast arrives with its reason.

Start 14-day trial See the methodCard required · nothing charged for 14 days · cancel any time

Who is playing in the other team’s end.

How it is measured
Each team’s share of all final-third passes. 50% is level. A team can have less of the ball and still own the territory.
What it is for
Spot sides whose results are flattering them, or sides that are dominating without the scoreline to show it.
Final thirdattacking direction →
Diagram of the measure, not match data

Built to be trusted

Numbers that say when they do not know.

  • Derived outputs only

    Rates, shares and indexes. No event feed, no player positions, no replay.

  • Hidden beats invented

    A measure appears only when its sample is big enough. Otherwise it is left out.

  • Direction is measured

    We work out which way each team attacks from where it shoots, not from a guess.

  • Coverage is stated

    A match without position data has no spatial section. We never fill the gap.

One call, or one tool

In your app, your bot or your agent.

The same data is a REST call and an MCP tool, and it feeds the written brief on every match page. A team’s recent profile appears once it has 5 tracked matches.

GET /spatial/{fixture_id}
Authorization: Token YOUR_API_KEY

{
  "available": true,
  "match":    { "home": [{ "key": "field_tilt", ... }], "away": [ ... ] },
  "profiles": { "home": { "matches_tracked": <n>, "metrics": { ... } } }
}

Shape only. Real responses carry real values and omit any measure without enough data.

See a match the way the model sees it.

Spatial measures, probabilities and indicators, in one request.

Start 14-day trial

Information only, not betting advice. Measures describe what happened on the pitch, not what will happen. 18+.

Live embeddable widgets

Three widgets. One data contract.
Paste PredictIQ into any site.

Ship responsive match feeds, standings and match intelligence with a script tag. Every number comes from the API, with an explicit empty state when data isn’t available.

REST auto-refreshSource-backed probabilitiesZero synthetic dataGlobal competition catalogue
predictiqpro.com/widgets
● RECENTsource: API
Pamplona–
Eibar–
H 7% · D 13% · A 80%
CD Anaitasuna FT–
Deportivo Alavés–
H 3% · D 5% · A 92%
SD Amorebieta–
UD Logroñés–
H 30% · D 27% · A 43%
MATCH INTELLIGENCENS
Pamplona– - –Eibar
Home win 7%

Club Friendlies

1. Bruk-Bet Termalica Nieciecza37
2. Eintracht Trier36
3. Botev Plovdiv33
4. Wolfsberger AC32

The API, in motion

Inspect a match.
Then inspect the JSON.

Switch between the match view and the response behind it.

GET/predictions/live200

Copa del Rey

Pamplona

–––

Eibar

Model probabilities

Home 7%Draw 13%Away 80%

Real fixture, real response. Read the docs

One layer · four jobs

Less plumbing.
More product.

Clean interfaces for predictions, live context, analytics and agent workflows.

One contract

Predictions without the plumbing.

Calibrated home, draw and away chances for every fixture, plus goals, handicap and correct-score markets from one scoreline model.

Provenance

Published, not just claimed.

Pre-kickoff picks are saved and never edited. Calibration and log loss are measured and public.

Match intelligence

From fixture to context in one request.

Elo and Glicko strength, recent form, expected goals and value analysis against market consensus.

Agent-native

REST for your app. MCP for your agents.

The same API contract is available as MCP tools for Claude Desktop, Cursor and custom agent workflows.

01–03 · PredictIQ flow

One contract.
Three moves.

Global catalogue

100 supported competitions.
Availability you can query.

Girabola, A-League Men, NPL Queensland, Austrian Bundesliga and more, each served by the same endpoints with the same response shape.

Explore coverage
[ Country network ]Drag to explore

Straight answers

Before you
build.

14-day trial

Try every signal
for 14 days.

The full value radar, every pick with its confidence, live match momentum and the complete track record. Developers also get API and MCP access during the trial. A card is required to start. Nothing is charged until the trial ends, and you pay nothing if you cancel before then.

Plans from$14/month5k requests/mo on that plan

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