A free open public domain football database & schema
for use in any (programming) language (e.g. uses datasets in plain text).
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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 |
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 2019/20 season:
$ sportdb new eng2019-20
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.db
and - read in all datasets in plain text (
.txt
)
That's it.
The football.db schema, data and scripts are dedicated to the public domain. Use it as you please with no restrictions whatsoever.
Send them along to the Open Sports & Friends Forum/Mailing List. Thanks!