Opta alternative

The best Opta alternative for football data

Opta, from Stats Perform, sets the standard for football analytics depth. If you need professional analytics, xG, Pressure Index and predictions, that you can integrate this week, here is how Sportmonks compares, and where Opta is still the right call.

99.99% uptime 30,000+ builders First xG call in minutes
Sportmonks · by the numbers
0Uptime
0Leagues
0Builders
0Requests/mo
first xG call in minutes
Opta (Stats Perform) sets the standard for football analytics depth, the deepest xG and advanced metrics in the market, sold via enterprise contracts with sales-led onboarding. Sportmonks covers the analytics most products actually use, xG, Pressure Index, predictions and full stats, across 2,200+ leagues, with self-serve signup, an instant token, and transparent pricing from €29/month. Choose Opta if you need the deepest possible models; choose Sportmonks for professional analytics without an enterprise contract.

Sportmonks vs Opta at a glance

 SportmonksStats Perform (Opta)
Entry price€29/month (published)Custom (from around €250/month)
Analytics depthxG, Pressure Index, predictions, full statsDeepest xG and advanced metrics in market
OnboardingSelf-serve, token in minutesEnterprise sales, longer onboarding
Pricing transparencyFullCustom / quote-based
SportsFootball, Cricket, F111
Support7-day human + personal CSEnterprise support
Best forBuilders needing solid analytics fastAnalytics teams needing maximum depth

Figures current as of June 2026. Verify on each provider's site.

Where each one wins

Choose Opta when

  • Your product depends on the deepest available analytics models
  • You need the most granular event data in the market
  • Your analysts rely on broadcaster-grade advanced metrics
  • You have the budget and timeline for an enterprise engagement

Choose Sportmonks when

  • You need solid analytics you can integrate this week
  • You need xG, Pressure Index, predictions and full stats across 2,200+ leagues
  • You want transparent pricing and self-serve signup
  • You want human support standard for every customer

The differences that show up in production

Reliability

Production-grade analytics at scale

Sportmonks publishes 99.99% uptime, runs multi-source data validation, and handles 6.4 billion API requests per month, delivering xG, Pressure Index, and predictions across 2,200+ leagues. Opta remains the benchmark for the deepest possible models on enterprise terms.

Value

Transparent, approachable pricing

Sportmonks publishes everything: €29 Starter, €99 Growth, €249 Pro, and custom Enterprise, with no contracts and a 14-day trial. Opta's pricing is custom and quote-based, commonly starting around €250/month and rising with depth and scope on enterprise terms.

Experience

First xG call in a single session

Sign up, get an instant token, and make your first xG call in the same session, with 7-day human support and a personal CS contact included as standard. Opta's enterprise onboarding takes longer and starts with a sales conversation.

Professional-grade data, self-serve

One API call. Every use case. Real teams.

Opta's depth lives behind enterprise contracts and procurement. With Sportmonks, a single self-serve response carries lineups, events, statistics, xG and predictions — consistently, across 2,200+ leagues, no enterprise contract required. Hover a team to see the exact slice of this response they build on.

Drag to resize · hover a team below
Match Centre · built from the response PL · MD 34
Manchester City
Manchester City
2
1
Full Time
19 Apr 2026 · Etihad Stadium
Arsenal
Arsenal
Goal 16' Cherki
Goal 65' Haaland
Goal 18' Havertz
Nathan Aké Antoine Semenyo
90'+6
Nico González Rodri
88'
Phil Foden Rayan Cherki
85'
Erling Haaland
83'
84'
Viktor Gyökeres Martín Zubimendi
Erling Haaland Goal2–1
65'
Marc Guéhi
60'
46'
Gabriel Martinelli Noni Madueke
18'
Goal Kai Havertz1–1
Rayan Cherki Goal1–0 · assist Nunes
16'
Manchester CityManchester City
25Gianluigi Donnarumma
20Bernardo SilvaC
16Rodri
10Rayan CherkiGoal
9Erling HaalandGoal
ArsenalArsenal
1David Raya
8Martin ØdegaardC
41Declan Rice
29Kai HavertzGoal
6Gabriel Magalhães
59%Ball Possession41%
15Total Shots9
1.76Expected Goals (xG)1.38
498Total Passes348
85%Pass Accuracy75%
8Corners5
5Fouls12
Pre-match · Full Time Result
Man City
41.5%
Draw
24.1%
Arsenal
34.4%
Both Teams to Score
Yes
61.3%
No
38.8%
Total Goals
Over 2.5
58.9%
Under 2.5
41.1%
Model called it. Pre-match favoured City (41.5%) over Arsenal (34.4%). BTTS predicted at 61.3% — Cherki and Havertz both scored inside 20 minutes. Final 2–1 was the model's second-most-likely scoreline (8.7%).
GET /v3/football/fixtures/19427734?include=lineups.player;events;statistics;xgfixture;predictions 200 OK
{
  "data": {
    "id": 19427734,
    "league_id": 8,
    "name": "Manchester City vs Arsenal",
    "starting_at": "2026-04-19 15:30:00",
    "xgfixture": [
      { "participant_id": 9,  "location": "home", "data": { "value": 1.7624 } },
      { "participant_id": 19, "location": "away", "data": { "value": 1.3798 } }
    ],
    "lineups": [
      {
        "player_id": 154421, "team_id": 9,
        "player_name": "Erling Haaland", "jersey_number": 9,
        "type_id": 11,
        "player": { "image_path": "…/players/21/154421.png" }
      },
      // … 21 more lineup entries (full XI per team + bench)
    ],
    "events": [
      { "minute": 16, "type_id": 14, "player_name": "Rayan Cherki", "related_player_name": "Matheus Nunes", "result": "1-0" },
      { "minute": 18, "type_id": 14, "player_name": "Kai Havertz", "result": "1-1" },
      { "minute": 65, "type_id": 14, "player_name": "Erling Haaland", "result": "2-1" },
      // … 14 more events (subs + cards through 90+6')
    ],
    "statistics": [
      { "type_id": 45, "location": "home", "data": { "value": 59 } },  /* Possession */
      { "type_id": 42, "location": "home", "data": { "value": 15 } },  /* Shots */
      { "type_id": 80, "location": "home", "data": { "value": 498 } }, /* Passes */
      // … 75 more bilateral stat entries
    ],
    "predictions": [
      { "type_id": 237, "predictions": { "home": 41.53, "draw": 24.07, "away": 34.36 } },  /* FT Result */
      { "type_id": 231, "predictions": { "yes": 61.25, "no": 38.75 } },  /* BTTS */
      { "type_id": 240, "predictions": { "scores": { "1-1": 11.12, "2-1": 8.66 } } }
    ]
  }
}

Hover a team to see what they build — and the exact slice of this one response behind it.

lineups · events · statistics · xgfixture · predictions

Which fits your use case?

Livescore portals

Real-time scores and in-play events across 2,200+ leagues with consistent formats, so coverage holds up across every competition.

Live Score API

Fantasy games

Consistent player and match statistics, expected points and predictions across every league, ready to integrate fast.

Fantasy Football API

Betting platforms

Pre-match and in-play odds, predictions, and data-integrity practices in a single feed.

Sports Betting API

Sports media & analytics

Match facts, xG, and editorial-ready data for publishing and analysis at scale.

Sports Media

Migrating from Opta to Sportmonks

Most Opta (Stats Perform) feeds map cleanly onto Sportmonks' v3 REST API. The main shift is Sportmonks' includes-and-filters model: instead of subscribing to separate feeds, you pull related data, including xG and predictions, in a single request by adding includes.

What you consume from OptaSportmonks v3 equivalent
Fixtures / live match dataGET /v3/football/fixtures + ?include=scores;events;statistics
League standingsGET /v3/football/standings/seasons/{id}
PlayersGET /v3/football/players/{id}
Expected goals (xG)GET /v3/football/fixtures/{id} + ?include=xgfixture
PredictionsGET /v3/football/predictions/probabilities/fixtures/{id}
A typical migration takes a few days: swap the integration to Sportmonks' base URL and auth token, remap the feeds above, and collapse multiple subscriptions into single requests with includes. Because signup is self-serve and the trial is instant, you can run Sportmonks alongside your existing Opta feed and compare responses before cutting over, no procurement cycle to wait on. See the docs for exact include and filter names.

Pricing

Opta's pricing is custom and quote-based, commonly starting around €250/month and rising with depth and scope, on enterprise terms. Sportmonks publishes its plans: €29 (Starter), €99 (Growth), €249 (Pro), and custom Enterprise, with a 14-day free trial (a credit card is required to activate it) and no contract. The question is whether you need maximum analytical depth or professional-grade analytics you can adopt quickly and affordably.

Which should you choose?

Choose Stats Perform (Opta) if you need the deepest analytics models available and have the budget and timeline for an enterprise engagement.

Choose Sportmonks if you need professional analytics, xG, Pressure Index, predictions, fast, transparently priced, and with support included.

Frequently asked questions

Is Sportmonks a good Opta alternative?

For most products, yes. Sportmonks covers xG, Pressure Index, predictions, and full stats across 2,200+ leagues with self-serve access from €29/month. Opta remains the choice when you need the deepest possible analytical models.

How does Sportmonks' xG compare to Opta's?

Opta offers the most granular models in the market. Sportmonks' xG, expected points, and Pressure Index cover the large majority of real-world use cases without an enterprise contract.

Why is Opta more expensive?

Opta sells enterprise-grade analytics depth via custom contracts and sales-led onboarding. Sportmonks offers approachable, self-serve access to professional analytics at a fraction of the cost.

How quickly can I start with Sportmonks?

In minutes. Self-serve signup gives you an instant token, and you can make your first xG call in the same session. Every paid plan includes a 14-day free trial (a credit card is required to activate it).

Ready when you are

Try Sportmonks free for 14 days

Sign up, get your API token, and make your first xG call in the same session. No sales call, no procurement.

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