Finally, we qualitatively illustrate how our loss induces a precise temporal understanding of actions and show how such semantic knowledge can be used for automatic highlights generation. We need to implement a relationship between the rating with another attribute on which the ratings of a football player depends. We need more data. the English Premier League, English Championship, Scottish Premier League, La Liga, Ligue 1, Serie A, and Bundesliga) standings from your terminal. Dataset with images of soccer ball acquired by a humanoid robot competing in the RoboCup Humanoid Kidsize League. The dataset is composed of 500 complete soccer games from six main European leagues, covering three seasons from 2014 to 2017 and a total duration of 764 hours. Add your raw data files no matter how small or specific. ahs85/bundesliga_predictions :octocat: - predictions of the Deutsche Bundesliga (football league) season 2012/13, architv/soccer-cli - command line tool for league table standings, match scores and more (in Python) using an HTTP JSON API, 4teamwork/ftw.footballchallenge :octocat: - an online football bet game based on plone, sigi/bookie :octocat: - a rails application to manage a soccer betting community or office pool, kdungs/tippspiel :octocat: - bet on football games with your friends, chipsmachine/bltippspiel :octocat: - Bundesliga betting game (tippspiel), chrenkot/Austrian-Bundesliga :octocat: - a little open source android app for gathering information about the austrian bundesliga. Learn more. soccer_league :octocat: - a rails application designed to manage soccer leagues, specifically teams, players and their stats. Now you can request additional data and/or customized columns! Over/Under, Corners, Match H2H, Tables, Results, HT/FT, Goals, Top Scorers, In-Play & more. We use essential cookies to perform essential website functions, e.g. they're used to log you in. Joseph Buchdahl’s Football Data - [Download .zip Archive] James P. Curley’s Soccer Data R Statistics Package - [Download .zip Archive] David Schoch’s Soccerverse - [Download .zip Archive] Mart Jürisoo’s International Football Results from 1872 to 2020 - [Download .zip Archive] In video understanding, action spotting consists in temporally localizing human-induced events annotated with single timestamps. Didn't find what you wanted? A hodgepodge of JSON and CSV Football/Soccer data. With an average of one event every 6.9 minutes, this dataset focuses on the problem of localizing very sparse events within long videos. Use Git or checkout with SVN using the web URL. Learn more, We use analytics cookies to understand how you use our websites so we can make them better, e.g. A total of 6,637 temporal annotations are automatically parsed from online match reports at a one minute resolution for three main classes of events (Goal, Yellow/Red Card, and Substitution). We show the generalization capability of our loss for generic activity proposals and detection on ActivityNet, by spotting the beginning and the end of each activity. World's most in-depth Football Stats / Soccer Stats site. Fork the project if you need a snapshot. GitHub is home to over 50 million developers working together to host and review code, manage projects, and build software together. Making use of recent developments in the realm of generic action recognition and detection in video, we provide strong baselines for detecting soccer events. Contributions welcome. Football/Soccer data for anyone to use. You signed in with another tab or window. Abstract: In this dataset paper, we present and make available a dataset of elite soccer player movements and corresponding videos. Note: :octocat: stands for the GitHub page, :gem: stands for the RubyGems page and :datahub: stands for dataset on DataHub. Please add your data sets. Send in a pull request. See Guide to Football/Soccer data and APIs for a more complete list of soccer data available online. See Guide to Football/Soccer data and APIs for a more complete list of soccer data available online. Make a quick request and we will help you find it. See all football.csv dataset repos » Bonus: Cached Datasets. We define the task of spotting as finding the anchors of soccer events in a video. We use optional third-party analytics cookies to understand how you use GitHub.com so we can build better products. Files and datasets will move and schemas will change. Learn more. standings gem :octocat:, :gem: - view European football (e.g. These annotations are manually refined to a one second resolution by anchoring them at a single timestamp following well-defined soccer rules. Data is in mostly csv and json formats. I save them here as I find them or build the files. For more information, see our Privacy Statement. Article: Using open football data - Get ready for the World Cup in Brazil 2014 @ The Data Wrangling Blog (Open Knowledge Foundation (OKFN) Labs). Anything missing? NDA form A match event contains information about its position, time, outcome, player and characteristics. SOCcer v2.0 was developed using an expanded training data set comprising job descriptions from epidemiologic studies. The dataset is composed of 500 complete soccer games from six main European leagues, covering three seasons from 2014 to 2017 and a total duration of 764 hours. As such, the dataset is easily scalable. In this paper, we introduce SoccerNet, a benchmark for action spotting in soccer videos. A collection of awesome football datasets including national teams, clubs, match schedules, players, stadiums, etc. This dataset has been used recently during the Soccer Data Challenge (https://sobigdata-soccerchallenge.it/) and, to the best of our knowledge, it is the largest public collection of soccer-logs. Data is in mostly csv and json formats. This dataset contains details of over 8800 football players and various attributes like ratings, defence, speed and other skills. At Datahub, we provide various solutions to Publish and Deploy your Data with power and simplicity. We benchmark our loss on a large dataset of soccer videos, SoccerNet, and achieve an improvement of 12.8% over the baseline. Work fast with our official CLI. We show that our best model for classifying temporal segments of length one minute reaches a mean Average Precision (mAP) of 67.8%. the English Premier League, English Championship, Scottish Premier League, La Liga, Ligue 1, Serie A, and Bundesliga) standings from your terminal. For the spotting task, our baseline reaches an Average-mAP of 49.7% for tolerances δ ranging from 5 to 60 seconds. Football/Soccer data for anyone to use. sports-data/english-premier-league :datahub: milkysunshine91/sport_db.Football :octocat: orlandoaleman/FootballAppResources :octocat: threefunkymonkeys/funky-world-cup :octocat: 4teamwork/ftw.footballchallenge :octocat. Datahub is the fastest way for individuals, teams and organizations to publish, deploy and share their data. Open source apps for match scores, picks, predictions, office pools, and more, worldcup-2014 gem :octocat:, :gem: - provides command line access to World Cup 2014 information and results, world_cup_cli gem :octocat:, :gem: - a command line interface that provides you the latest group table standings, scores, and see upcoming matches from the 2014 World Cup, fatiherikli/worldcup :octocat: - World cup results for hackers; uses Soccer For Good API, rtopitt/bolao2014 :octocat: - Bolão PiTTlândia Copa do Mundo 2014, rtopitt/bolao :octocat: - Bolão Copa 2010, threefunkymonkeys/funky-world-cup :octocat: - a match predictions website for the FIFA World Cup, that allows you to create groups so you can play with your friends defining prices, malagant/tipptop :octocat: - world cup 2010 betting game; W-JAX Challenge, soccer_league :octocat: - a rails application designed to manage soccer leagues, specifically teams, players and their stats. Exploratory Data Analysis of FIFA Soccer Data-set : Overview. If nothing happens, download GitHub Desktop and try again. V2’s scoring algorithm was revised to account for deviations from linearity in the maximum entropy classifiers for job title and task and interactions between classifiers. Download Football / Soccer data to CSV and use it in Microsoft Excel. The dataset is composed of 500 complete soccer games from six main European leagues, covering three seasons from 2014 to 2017 and a total duration of 764 hours. Team, league, and player data for 500 leagues. Linked Soccer Data (pdf) is a white paper on one group's attempt to "create a dataset including reliable information about soccer events covering as many historical data as available including recent competition results." Learn more. Files and datasets will move and schemas will change. Some dead links but worth a skim. they're used to gather information about the pages you visit and how many clicks you need to accomplish a task. If nothing happens, download Xcode and try again. A Scalable Dataset for Action Spotting in Soccer Videos, CVPR Workshop on Computer Vision in Sports 2018.