A free open public domain football database & schema
for use in any (programming) language (e.g. uses datasets in plain text).
More football.db Project Site »
Free open public domain football data for England (and Wales). National football club leagues include:
| Level | ||
|---|---|---|
| I | English Premier League | 20 Clubs |
| II | English Championship | 24 Clubs |
| III | English League One | 24 Clubs |
| IV | English League Two | 24 Clubs |
Notes:
- Starting with the 2004/05 season the Football League's Division 1, Division 2 and Division 3 changed to Championship, League One and League Two.
Example:
= English Premier League
Matchday 1
[Sat Aug/16]
Manchester United 1-2 Swansea City
Leicester City 2-2 Everton FC
Queens Park Rangers 0-1 Hull City
Stoke City 0-1 Aston Villa
West Bromwich Albion 2-2 Sunderland AFC
West Ham United 0-1 Tottenham Hotspur
Arsenal FC 2-1 Crystal Palace
[Sun Aug/17]
Liverpool FC 2-1 Southampton FC
Newcastle United 0-2 Manchester City
[Mon Aug/18]
Burnley FC 1-3 Chelsea FC
...
= Arsenal
1 Wojciech Szczęsny (POL) GK 2007-
13 David Ospina (COL) GK 2014-
26 Damián Martinez (ARG) GK 2010-
2 Mathieu Debuchy (FRA) DF 2014-
3 Kieran Gibbs DF 2007-
4 (vc) Per Mertesacker (GER) DF 2011-
6 Laurent Koscielny (FRA) DF 2010-
18 Nacho Monreal (ESP) DF 2013-
21 Calum Chambers DF 2014-
7 Tomáš Rosický (CZE) MF 2006-
8 (c) Mikel Arteta (ESP) MF 2011-
10 Jack Wilshere MF 2008-
11 Mesut Özil (GER) MF 2013-
15 Alex Oxlade-Chamberlain MF 2011-
16 Aaron Ramsey (WAL) MF 2008-
19 Santi Cazorla (ESP) MF 2012-
20 Mathieu Flamini (FRA) MF 2013-
24 Abou Diaby (FRA) MF 2006-
34 Francis Coquelin (FRA) MF 2008-
35 Gedion Zelalem (GER) MF 2013-
9 Lukas Podolski (GER) FW 2012-
12 Olivier Giroud (FRA) FW 2012-
14 Theo Walcott FW 2006-
17 Alexis Sánchez (CHI) FW 2014-
22 Yaya Sanogo (FRA) FW 2013-
23 Danny Welbeck FW 2014-
27 Serge Gnabry (GER) FW 2012-
28 Joel Campbell (CRC) FW 2011-
Use the sportdb command line tool to build your own england.db copy
from the datasets in plain text.
Note: The English Premier League includes teams from Wales (e.g. Swansea City or Cardiff City).
Use the quick starter datafile templates to start from scratch. Examples:
Build the database for all English (incl. Welsh) clubs, leagues and seasons:
$ sportdb new eng
Build the database for the 2020/21 season:
$ sportdb new eng2020-21
Download and unpack the zip archive with the datasets or if you have git installed use the git clone command to
get a local copy.
Try in your working folder (that is, /england):
$ sportdb build
$ sportdb --verbose build # or for more (verbose) details incl. debug info
This will
- setup a new single-file SQLite database e.g.
./sport.dband - read in all datasets in plain text (
.txt)
That's it.
Run the football-to-sqlite tool against match files in the Football.TXT format like so:
$ football-to-sqlite england.db 2020-21/1-premierleague.txt
or pass in more than one match file (e.g. different leagues or more seasons):
$ football-to-sqlite england.db 2020-21/1-premierleague.txt \
2020-21/2-championship.txt \
2020-21/3-league1.txt \
2020-21/4-league2.txt \
2020-21/5-nationalleague.txt
# -or-
$ football-to-sqlite premier.db 2020-21/1-premierleague.txt \
2019-20/1-premierleague.txt \
2018-19/1-premierleague.txt \
2017-18/1-premierleague.txt \
2016-17/1-premierleague.txt
Note: If the single-file SQLite database (and its tables, views & indices) do not (yet) exist, they get auto-created on the first run.
The football.db schema, data and scripts are dedicated to the public domain. Use it as you please with no restrictions whatsoever.
Yes, you can. More than welcome. See Help & Support »