How to Access Historical Football Data Going Back to the 1950s

Live scores get all the attention, but historical data is where a lot of real product value hides — season comparisons, all-time head-to-heads, "on this day" content, and long-term trend analysis. Live Football API's historical archive goes back to the 1950s for many competitions, accessible through the same endpoints you already use for live data.

There's No Separate "Historical" Endpoint

Historical access isn't a special feature you have to unlock — it's built into the same endpoints via the season parameter. Any endpoint that accepts season can pull data from decades ago just as easily as the current season.

Fetching a Team's Historical Fixtures

Pass an older season value to /team_matches to pull a full historical fixture list:

import requests

response = requests.get(
    'https://live-football-api.com/api/v1/team_matches',
    params={
        'api_key': 'YOUR_KEY',
        'team_id': 'lfa-man-city',
        'season': '1968/1969',
        'lang': 'en'
    }
).json()

for match in response['data']['matches']:
    print(f"{match['date']} — {match['home']['name']} {match['home']['score']}"
          f"-{match['away']['score']} {match['away']['name']}")

Discovering Which Seasons Are Available

Rather than guessing valid season strings, read the available_seasons array returned in the same response — this tells you exactly how far back data goes for that specific team or league:

print(response['data']['available_seasons'])
# ['2024/2025', '2023/2024', ..., '1969/1970', '1968/1969', ...]

Coverage depth varies by competition — major leagues generally go back further than smaller ones, so always check available_seasons rather than assuming a fixed range.

Building a Season Comparison View

A common historical feature is letting users compare a team's performance across two different eras. Since the response shape is identical regardless of season, this is just two calls with different season values:

async function compareSeasons(teamId, seasonA, seasonB) {
  const [a, b] = await Promise.all([
    fetchTeamMatches(teamId, seasonA),
    fetchTeamMatches(teamId, seasonB)
  ]);

  return {
    [seasonA]: summarizeRecord(a.matches),
    [seasonB]: summarizeRecord(b.matches)
  };
}

function summarizeRecord(matches) {
  return matches.reduce((acc, m) => {
    const isHome = m.home.id === teamId;
    const gf = isHome ? m.home.score : m.away.score;
    const ga = isHome ? m.away.score : m.home.score;
    if (gf > ga) acc.wins++;
    else if (gf < ga) acc.losses++;
    else acc.draws++;
    return acc;
  }, { wins: 0, draws: 0, losses: 0 });
}

Historical Standings and Squad Data

The same pattern applies beyond fixtures. /league_standings and /team_squad both accept season, so you can pull an old final table or a historical squad list the same way:

const oldTable = await fetch(
  `.../league_standings?api_key=YOUR_KEY&league_id=lfa-premier-league&season=1998/1999`
);

const oldSquad = await fetch(
  `.../team_squad?api_key=YOUR_KEY&team_id=lfa-man-united&season=1998/1999`
);

Use Case: "On This Day" Content

A lightweight content feature many sports sites use — surface a notable historical result on today's date each year — can be built by looping through past seasons for a fixed team and filtering matches by month/day:

function findMatchesOnThisDay(allSeasonsMatches, targetMonth, targetDay) {
  return allSeasonsMatches.filter(m => {
    const d = new Date(m.date);
    return d.getMonth() + 1 === targetMonth && d.getDate() === targetDay;
  });
}

Frequently Asked Questions

Does historical data cost more credits than live data?

No, endpoints cost the same 1 credit per call regardless of whether the season requested is current or decades old.

How far back does data actually go?

It varies by competition — check the available_seasons array in the response rather than assuming a fixed cutoff, since smaller leagues and lower divisions typically have shallower archives than major competitions.

Can I get historical data for a team that no longer exists or was renamed?

If the team has a team_id in the system (found via /team_search), its historical matches should be queryable the same way as any active club, though very old or defunct clubs may have gaps.

Is there a bulk export option for large historical pulls?

No, historical data is retrieved the same way as live data — one endpoint call per team/season/league combination — so plan your credit usage accordingly for large backfills.