comparison

Outright Futures vs Match Markets in Odds API Catalogues

By Daniel

Integrating sports betting odds into an application means understanding different market types. Two fundamental categories developers often encounter are outright futures vs match markets in API catalogues. These aren't just different labels; they represent distinct data structures, update frequencies, and integration challenges.

For developers building anything from an odds comparison site to a data analysis tool, knowing how to handle both is crucial. This guide breaks down these market types, their unique characteristics, and how a UK bookmaker odds API provides access to both without the headache of scraping. We'll look at how to integrate these different data types, focusing on pre-match football odds JSON from a reliable source.

What Are Match Markets?

Match markets are the most common type of betting odds. They relate to a single, specific event scheduled to happen at a defined time, like a football match. Think "Manchester United to beat Liverpool" or "Both Teams to Score" in a Premier League fixture. These markets open, evolve with pre-match information (injuries, team news), and close at kickoff.

The data for match markets is typically structured around an event_id and includes details like teams, kickoff time, and an array of available markets (e.g., Match Winner, Over/Under Goals). Each market then lists selections (e.g., Home Win, Draw, Away Win) with their respective odds from various bookmakers.

Here's a simplified example of what pre-match football odds JSON for a match market might look like from an API:

{
  "event_id": "EVT12345",
  "event_title": "Man Utd vs Liverpool",
  "kickoff_utc": "2026-04-29T19:00:00Z",
  "markets": [
    {
      "market_id": "MKT001",
      "market_name": "Match Winner",
      "selections": [
        { "selection_name": "Man Utd", "odds": { "UO001": 2.50, "UO027": 2.60 } },
        { "selection_name": "Draw",    "odds": { "UO001": 3.40, "UO027": 3.30 } },
        { "selection_name": "Liverpool", "odds": { "UO001": 2.80, "UO027": 2.75 } }
      ]
    },
    {
      "market_id": "MKT002",
      "market_name": "Both Teams To Score",
      "selections": [
        { "selection_name": "Yes", "odds": { "UO001": 1.70, "UO027": 1.65 } },
        { "selection_name": "No",  "odds": { "UO001": 2.10, "UO027": 2.20 } }
      ]
    }
  ]
}

This JSON snippet shows odds for a specific match from two bookmakers (UO001 and UO027). Match markets are highly dynamic in the lead-up to kickoff. They require frequent polling to capture price changes, especially for popular leagues like the Premier League.

a digital football pitch with data points representing match odds, flowing into an API endpoint

What Are Outright Futures Markets?

Outright futures markets, often just called "outrights" or "specials," are long-term bets on an outcome that isn't tied to a single, immediate event. Instead, they cover an entire season, tournament, or future occurrence. Examples include "Premier League Winner," "World Cup Top Scorer," or even "Next Manager to be Sacked." These markets can stay open for months, even a year or more.

The key difference from match markets is their duration and the nature of the "event." For outrights, the "event" is often conceptual (e.g., "Premier League 2024/25 Season") rather than a specific fixture. The odds reflect a longer-term prediction and tend to be less volatile day-to-day than match odds, though significant news (e.g., a major player transfer or injury) can cause large shifts.

Here's an example of pre-match football odds JSON for an outright market, also known as a "special" in some API catalogues:

{
  "event_id": "SPL001",
  "event_title": "Premier League Winner 2024/25",
  "kickoff_utc": "2024-08-10T12:00:00Z",
  "markets": [
    {
      "market_id": "MKT_PLW",
      "market_name": "Outright Winner",
      "selections": [
        { "selection_name": "Man City", "odds": { "UO001": 1.80, "UO027": 1.75 } },
        { "selection_name": "Arsenal",  "odds": { "UO001": 3.50, "UO027": 3.75 } },
        { "selection_name": "Liverpool", "odds": { "UO001": 6.00, "UO027": 5.50 } },
        { "selection_name": "Man Utd",  "odds": { "UO001": 15.00, "UO027": 16.00 } }
      ]
    }
  ]
}

Notice the kickoff_utc for an outright might represent the start of the season or the point at which the market officially opens, rather than a single game's start time. This distinction is vital for data processing and display.

Key Differences in API Integration

The distinction between outright futures vs match markets in API catalogues isn't just theoretical; it impacts how you design your data ingestion and storage.

  1. Event Identification: Match markets typically have a clear event_id tied to a specific fixture. Outright markets might use a different event_id scheme or be grouped under a "specials" category. You can't always assume a single events endpoint will cover both with the same parameters.
  2. Update Frequency: Match odds can change rapidly, especially in the hours leading up to kickoff. You might poll these every few minutes. Outright odds, while not static, generally update less frequently. Polling these hourly or even daily might be sufficient, reducing your API request count.
  3. Data Volume: There are hundreds of football matches every week, each with dozens of markets. This generates a high volume of match market data. Outright markets are fewer in number, but each can have many selections (e.g., all 20 Premier League teams for the winner market).
  4. Market Structure: While both use a markets array, outrights often have simpler market names (e.g., "Outright Winner") but more selections. Match markets have a wider variety of market types (e.g., "First Goalscorer", "Asian Handicap").
  5. Endpoint Design: A robust odds API without scraping will usually provide separate endpoints or clear filtering for these types. For example, ukoddsapi.com uses /v1/football/events for scheduled matches and /v1/football/specials for outrights. This separation simplifies development, as you don't need to guess the data type.

Understanding these differences is key to efficient data handling. Incorrectly treating an outright market as a match market, or vice versa, can lead to stale data, missed opportunities, or unnecessary API calls. This is where a well-structured UK bookmaker odds API with clear endpoint segregation helps.

a network of API calls, with distinct paths for match data and outright data, highlighting integration challenges

Practical Examples with UK Odds API

Integrating both market types requires using the correct endpoints. UK Odds API provides dedicated endpoints for fetching both scheduled match fixtures and outright "specials." This makes outright futures vs match markets in API catalogues integration straightforward.

First, let's fetch a list of upcoming football events (match markets) for a specific date using the /v1/football/events endpoint.

import os
import requests

API_KEY = os.environ.get("UKODDSAPI_KEY", "YOUR_API_KEY") # Replace with your actual API key or env var
BASE = "https://api.ukoddsapi.com"
headers = {"X-Api-Key": API_KEY}

# Fetch upcoming match events
try:
    match_events_response = requests.get(
        f"{BASE}/v1/football/events",
        headers=headers,
        params={"schedule_date": "2026-04-29", "has_odds": "true", "per_page": "5"},
        timeout=30,
    )
    match_events_response.raise_for_status() # Raise an exception for HTTP errors
    match_events = match_events_response.json()

    print("--- Match Events ---")
    if match_events and match_events.get("events"):
        for event in match_events["events"]:
            print(f"Event ID: {event['event_id']}, Title: {event['home_team']} vs {event['away_team']}")
            # Let's pick the first event to get its odds
            first_match_event_id = event['event_id']
            break
    else:
        print("No match events found for the specified date.")
        first_match_event_id = None

    if first_match_event_id:
        # Fetch odds for a specific match event
        match_odds_response = requests.get(
            f"{BASE}/v1/football/events/{first_match_event_id}/odds",
            headers=headers,
            params={"package": "core", "odds_format": "decimal"},
            timeout=60,
        )
        match_odds_response.raise_for_status()
        match_odds = match_odds_response.json()
        print(f"\n--- Odds for Match Event {first_match_event_id} ({match_odds.get('event_title')}) ---")
        for market in match_odds.get("markets", [])[:1]: # Print first market for brevity
            print(f"  Market: {market['market_name']}")
            for selection in market['selections']:
                print(f"    Selection: {selection['selection_name']}, Odds: {selection['odds']}")
    else:
        print("Cannot fetch match odds without an event ID.")

except requests.exceptions.RequestException as e:
    print(f"Error fetching match data: {e}")

This Python snippet first retrieves a list of upcoming matches. It then takes the event_id of the first match found and fetches its detailed pre-match football odds JSON. This is the standard workflow for match markets.

Now, let's look at fetching outright futures markets, which ukoddsapi.com categorises as "specials." These are accessed via the /v1/football/specials endpoint.

# Fetch football specials (outright markets)
try:
    specials_response = requests.get(
        f"{BASE}/v1/football/specials",
        headers=headers,
        timeout=30,
    )
    specials_response.raise_for_status()
    specials = specials_response.json()

    print("\n--- Football Specials (Outright Markets) ---")
    if specials and specials.get("events"):
        for event in specials["events"]:
            print(f"Special ID: {event['event_id']}, Title: {event['event_title']}")
            # Let's pick the first special event to get its odds
            first_special_event_id = event['event_id']
            break
    else:
        print("No special events found.")
        first_special_event_id = None

    if first_special_event_id:
        # Fetch odds for a specific special event
        special_odds_response = requests.get(
            f"{BASE}/v1/football/specials/{first_special_event_id}/odds",
            headers=headers,
            params={"package": "full", "odds_format": "decimal"}, # Specials often require 'full' package
            timeout=60,
        )
        special_odds_response.raise_for_status()
        special_odds = special_odds_response.json()
        print(f"\n--- Odds for Special Event {first_special_event_id} ({special_odds.get('event_title')}) ---")
        for market in special_odds.get("markets", [])[:1]: # Print first market for brevity
            print(f"  Market: {market['market_name']}")
            for selection in market['selections']:
                print(f"    Selection: {selection['selection_name']}, Odds: {selection['odds']}")
    else:
        print("Cannot fetch special odds without an event ID.")

except requests.exceptions.RequestException as e:
    print(f"Error fetching specials data: {e}")

This second snippet demonstrates fetching outrights. Notice the different endpoint (/v1/football/specials) and how the event_id is then used to fetch the specific odds for that outright market. This clear separation in the UK bookmaker odds API simplifies development and ensures you're requesting the right data type.

Common Mistakes When Handling Both Market Types

Developers often make specific errors when mixing outright futures vs match markets in API catalogues. Avoiding these will save you debugging time.

  • Assuming Uniform event_id Structure: Not all APIs use the same event_id format or even the same endpoint for both types. Always check the API documentation. UK Odds API uses distinct IDs and endpoints for matches and specials.
  • Incorrect Polling Frequency: Polling outright markets every minute is usually overkill and wastes API requests, potentially hitting rate limits. Conversely, polling match markets only once an hour will lead to outdated odds.
  • Mismatched Data Models: Trying to fit outright selections (e.g., "Man City to win Premier League") into a data model designed for match outcomes (e.g., "Home Win, Draw, Away Win") can lead to awkward schema designs or data loss.
  • Ignoring package or tier Differences: Some APIs gate certain market types (especially advanced match markets or outrights) behind higher subscription tiers or specific package parameters. Always check your plan's entitlements.
  • Overlooking kickoff_utc Context: For match markets, kickoff_utc is the actual game start. For outrights, it might be the start of a season or the market opening date. Using it interchangeably for filtering or display can be misleading.
  • Not Handling status Fields: Odds can be suspended or settled. Ensure your application handles status fields correctly for both market types to avoid displaying invalid odds.

Comparison: Outright Futures vs. Match Markets in API Catalogues

Here's a direct comparison to highlight the practical differences for developers working with an odds API without scraping:

Feature Match Markets Outright Futures Markets (Specials)
Event Scope Single, scheduled fixture (e.g., Man Utd vs Liverpool) Long-term outcome (e.g., Premier League Winner)
API Endpoint Often /events then /events/{id}/odds Often /specials then /specials/{id}/odds
event_id Type Unique ID for a specific match Unique ID for a season, tournament, or conceptual event
Update Frequency High (minutes/seconds pre-match) Lower (hours/days, event-driven by news)
Data Volume High (many matches, many markets per match) Lower (fewer outrights, but many selections per market)
Market Variety Wide range (Match Winner, BTTS, Handicaps, etc.) Fewer, broader markets (Outright Winner, Top Scorer)
Typical Use Case Odds comparison, live betting tools (pre-match), arbitrage Long-term predictions, season-long tracking, futures trading
Integration Requires robust polling, real-time processing Less frequent polling, simpler data warehousing

This table clarifies why a one-size-fits-all approach to data fetching and processing won't work. A dedicated UK bookmaker odds API like ukoddsapi.com provides the necessary structure to differentiate and efficiently consume both types of data.

FAQ

How do I identify if an event is a match market or an outright future using an API?

Check the API's documentation. Many APIs, like ukoddsapi.com, use separate endpoints (e.g., /v1/football/events for matches and /v1/football/specials for outrights) or a specific field in the event object to denote the type.

Can I get both match and outright odds from the same API request?

Typically, no. Due to their distinct nature and data structures, match and outright odds are usually fetched via separate API endpoints or with different query parameters. This ensures data consistency and efficient API design.

What's the best strategy for polling outright futures markets?

Outright markets generally update less frequently than match markets. Polling them hourly or even a few times a day is often sufficient, unless there's major news (e.g., a key player transfer) that would significantly impact the odds.

Do all UK bookmakers offer both match and outright markets via API?

A comprehensive UK bookmaker odds API will aggregate data from many bookmakers. While most major bookmakers offer both types of markets, the specific coverage can vary. A good API normalises this, providing a consistent view across providers.

Is historical data available for both match and outright markets?

Yes, many premium odds API without scraping solutions offer historical data for both market types. This is valuable for backtesting strategies or analysing long-term trends. Check your API plan, as historical data is often a feature of higher tiers.

Understanding the fundamental differences between outright futures and match markets is essential for any developer working with sports odds data. By leveraging a well-structured UK bookmaker odds API that clearly separates these data types, you can build more robust, efficient, and accurate applications. This approach avoids the pitfalls of scraping and ensures you're working with clean, reliable pre-match football odds JSON.

Ready to integrate comprehensive football odds into your project? Explore the API documentation and get started at ukoddsapi.com.