All Projects → openfootball → World Cup

openfootball / World Cup

Licence: cc0-1.0
Free open public domain football data for the World Cup (incl. Qatar 2022, Russia 2018, Brazil 2014, etc.) and World Cup Quali(fiers)

Projects that are alternatives of or similar to World Cup

italy
Free open public domain football data (football.db) for Italy / Europe - Serie A etc.
Stars: ✭ 35 (-92.22%)
Mutual labels:  opendata, football
England
Football data for England (and Wales) incl. English Premier League, The Football League (Championship, League One, League Two), Football Conference etc.
Stars: ✭ 117 (-74%)
Mutual labels:  opendata, football
Footballdata
A hodgepodge of JSON and CSV Football/Soccer data
Stars: ✭ 526 (+16.89%)
Mutual labels:  opendata, football
worldcup.json
Free open public domain football data for the world cups in JSON incl. Russia 2018 and more - No API key required ;-)
Stars: ✭ 156 (-65.33%)
Mutual labels:  opendata, football
worldcup
Free open public domain football data for the World Cup (incl. Qatar 2022, Russia 2018, Brazil 2014, etc.) and World Cup Quali(fiers)
Stars: ✭ 530 (+17.78%)
Mutual labels:  opendata, football
World Cup.json
Free open public domain football data for the world cups in JSON incl. Russia 2018 and more - No API key required ;-)
Stars: ✭ 152 (-66.22%)
Mutual labels:  opendata, football
Football.json
Free open public domain football data in JSON incl. English Premier League, Bundesliga, Primera División, Serie A and more - No API key required ;-)
Stars: ✭ 632 (+40.44%)
Mutual labels:  opendata, football
deutschland
Free open public domain football data for Germany (Deutschland) incl. Deutsche Bundesliga, 2. Bundesliga, 3. Liga, DFB Pokal etc.
Stars: ✭ 64 (-85.78%)
Mutual labels:  opendata, football
euro
Free open public domain football data (euro.db) for Euro 2008, Euro 2012, Euro 2016, Euro 2020 (2021), etc.
Stars: ✭ 38 (-91.56%)
Mutual labels:  opendata, football
Sport.db
sport.db - open sports database (e.g. football.db, formula1.db etc.) command line tool and libraries
Stars: ✭ 202 (-55.11%)
Mutual labels:  opendata, football
espana
Free open public domain football data (football.db) for España (Spain) / Europe - Primera División / La Liga, etc.
Stars: ✭ 64 (-85.78%)
Mutual labels:  opendata, football
England
Free open public domain football data for England (and Wales) incl. English Premier League (EPL) etc.
Stars: ✭ 354 (-21.33%)
Mutual labels:  opendata, football
dati.gov.it
dati.gov.it: il sito degli opendata italiani
Stars: ✭ 54 (-88%)
Mutual labels:  opendata
Fbp
FBP项目全称FootBallPrediction,历经9个月完成的足球比赛预测项目。项目结合大数据+机器学习,不断摸索开发了一个程序。程序根据各大公司赔率多维度预测足球比赛结果(包含胜和不胜)。机器学习用的是自己建立的“三木板模型”算法,已在国家期刊发表论文并被万方数据库收录,详见_ML_文件。目前准确率可达80%。该项目在自己创建的微信群里已经吸引了很多人,附件为群讨论截图,并且每天均有部分人根据预测结果参考投注竞彩,参考的人都获得了相应的收益。 现在想通过认识更多的有识之士,一起探索如何将项目做大做强,找到合伙人,实现共赢。希望感兴趣的同仁联系本人,微信号acredjb。公众号AI金胆(或AI-FBP),每天都有程序预测的足球比赛。程序优势请看Advantages和README文件。程序3.0版本:(第三轮目前13中12) 8月10日:13让负(正确) 8月11日:27让负(正确) 8月12日:11让负(正确) 8月13日:6胜(不正确) 8月14日:25让负(正确) 8月15日:无预测 8月16日:1胜(正确) 8月17日:6让负(正确) 8月18日:16胜(正确) 8月19日:34让负(正确) ... 1.0版本(第一轮为11中9) 2.0版本(第二轮13中11).
Stars: ✭ 337 (-25.11%)
Mutual labels:  football
opendata
CRAN OpenData Task View
Stars: ✭ 192 (-57.33%)
Mutual labels:  opendata
luftdatenpumpe
Process live and historical data from luftdaten.info, IRCELINE and OpenAQ. Filter by station-id, sensor-id and sensor-type, apply reverse geocoding, store into timeseries and RDBMS databases, publish to MQTT, output as JSON or visualize in Grafana.
Stars: ✭ 22 (-95.11%)
Mutual labels:  opendata
nigerian-constitution
Constitution and Laws of the Federal Republic of Nigeria
Stars: ✭ 71 (-84.22%)
Mutual labels:  opendata
COVID-19-AI
Collection of AI resources to fight against Coronavirus (COVID-19)
Stars: ✭ 25 (-94.44%)
Mutual labels:  opendata
football analytics
⚽📊 A collection of football analytics projects, data, and analysis by Edd Webster (@eddwebster), including a curated list of publicly available resources published by the football analytics community.
Stars: ✭ 405 (-10%)
Mutual labels:  football
Visidata
A terminal spreadsheet multitool for discovering and arranging data
Stars: ✭ 4,606 (+923.56%)
Mutual labels:  opendata

World Cup

What's football.db?

A free open public domain football database & schema for use in any (programming) language e.g. uses datasets in (structured) text in the football.txt format. More football.db Project Site »

Intro

Free open public domain football data for the World Cup (e.g. Qatar 2022, Russia 2018, Brazil 2014, etc.) and the World Cup Quali(fiers). Example:

= World Cup 2018

Group A  |  Russia       Saudi Arabia         Egypt          Uruguay
Group B  |  Portugal     Spain                Morocco        Iran
Group C  |  France       Australia            Peru           Denmark
Group D  |  Argentina    Iceland              Croatia        Nigeria
Group E  |  Brazil       Switzerland          Costa Rica     Serbia
Group F  |  Germany      Mexico               Sweden         South Korea
Group G  |  Belgium      Panama               Tunisia        England
Group H  |  Poland       Senegal              Colombia       Japan


Matchday 1  |  Thu Jun/14
Matchday 2  |  Fri Jun/15
Matchday 3  |  Sat Jun/16

...

Group A:

 (1) Thu Jun/14 18:00   Russia        5-0 (2-0)  Saudi Arabia     @ Luzhniki Stadium, Moscow (UTC+3)
                          [Gazinsky 12' Cheryshev 43', 90+1' Dzyuba 71' Golovin 90+4']
 (2) Fri Jun/15 17:00   Egypt         0-1 (0-0)  Uruguay          @ Ekaterinburg Arena, Ekaterinburg (UTC+5)
                          [Giménez 89']
...

Match for third place

(63) Sat Jul/14  17:00   Belgium    2-0 (1-0)  England      @ Saint Petersburg Stadium, St. Petersburg (UTC+3)
                           [Thomas Meunier 4' Eden Hazard 82']

Final

(64) Sun Jul/15  18:00   France     4-2 (2-1)   Croatia     @ Luzhniki Stadium, Moscow (UTC+3)
                   [Mandžukić 18' (o.g.) Griezmann 38' (pen.) Pogba 59' Mbappé 65'; Perišić 28' Mandžukić 69']

or

= World Cup 2014

Group A  |  Brazil       Croatia              Mexico         Cameroon
Group B  |  Spain        Netherlands          Chile          Australia
Group C  |  Colombia     Greece               Côte d'Ivoire  Japan
Group D  |  Uruguay      Costa Rica           England        Italy
Group E  |  Switzerland  Ecuador              France         Honduras
Group F  |  Argentina    Bosnia-Herzegovina   Iran           Nigeria
Group G  |  Germany      Portugal             Ghana          United States
Group H  |  Belgium      Algeria              Russia         South Korea


Matchday 1  |  Thu Jun/12
Matchday 2  |  Fri Jun/13
Matchday 3  |  Sat Jun/14

...

Group A:

(1) Thu Jun/12 17:00   Brazil   3-1 (1-1)  Croatia       @ Arena de São Paulo, São Paulo (UTC-3)
                         [Neymar 29', 71' (pen.) Oscar 90+1';  Marcelo 11' (o.g.)]
(2) Fri Jun/13 13:00   Mexico   1-0 (0-0)  Cameroon      @ Estádio das Dunas, Natal (UTC-3)
                         [Peralta 61']

...

Match for third place

(63) Sat Jul/12 17:00   Brazil  0-3 (0-2)  Netherlands   @ Estádio Nacional Mané Garrincha, Brasília (UTC-3)
                         [Robin Van Persie 3' (pen.) Daley Blind 17' Georginio Wijnaldum 90+1']

Final

(64) Sun Jul/13 16:00   Germany  1-0 a.e.t. (0-0, 0-0)  Argentina   @ Estádio do Maracanã, Rio de Janeiro (UTC-3)
                          [Mario Götze 113']

Build Your Own worldcup.db Copy

Use the sportdb command line tool to build your own worldcup.db copy from the datasets in (structured) text in the Football.TXT format.

Alternative I - Use the Quick Starter Templates

Use the quick starter datafile templates to start from scratch. Examples:

Build the database for all world cups:

$ sportdb new worldcup

More »

Alternative II - Do-It-Yourself (DIY) - Downlad and Unpack Zip Archive or Git Clone

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, /world-cup):

$ 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.

Questions? Comments?

Send them along to the Open Sports & Friends Forum/Mailing List. Thanks!

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].