corpus.blog
41554 blogs · [ { "id": "01a087bf-0e14-7270-a6e0-3f2c4102c79c", "title": "Penaltyblog v1.11.0: Faster Batch Predictions, Neutral Venue Support, a Pretrained xT Model, and Faster Weibull Copula Fits", "url": "https://pena.lt/y/2026/06/09/penaltyblog-1.11.0/", "published_at": "2026-06-09T19:30:00+00:00" }, { "id": "01a087bf-0e14-7270-a6e0-3f2c41cbf552", "title": "Why I Wrote My Own MCMC Sampler for Penaltyblog", "url": "https://pena.lt/y/2026/01/08/bayesian_goal_models/", "published_at": "2026-01-08T10:42:00+00:00" }, { "id": "01a087bf-0e14-7270-a6e0-3f2c427b8257", "title": "Introducing the Opta API Connector for matchflow", "url": "https://pena.lt/y/2025/11/30/matchflow-opta-statsperform/", "published_at": "2025-11-30T19:30:00+00:00" }, { "id": "01a087bf-0e14-7270-a6e0-3f2c433d6b51", "title": "Shrinkage, Uncertainty, and Son Heung-min: Using Bayesian Methods to Identify Finishing Ability", "url": "https://pena.lt/y/2025/10/01/a-better-way-to-measure-finishing-skill/", "published_at": "2025-10-01T19:30:00+00:00" }, { "id": "01a087bf-0e14-7270-a6e0-3f2c44167636", "title": "From Biased Odds to Fair Probabilities: Removing the Bookmaker's Overround", "url": "https://pena.lt/y/2025/09/14/from-biased-odds-to-fair-probabilities/", "published_at": "2025-09-14T19:30:00+00:00" }, { "id": "01a087bf-0e14-7270-a6e0-3f2c4445966b", "title": "Penaltyblog v1.5.0: Faster Models, Smarter Queries, and a Sharper Edge", "url": "https://pena.lt/y/2025/08/14/penaltyblog-1.5.0/", "published_at": "2025-08-14T19:30:00+00:00" }, { "id": "01a087bf-0e14-7270-a6e0-3f2c44871ece", "title": "How Accurate Are Soccer Odds? A Data Dive into 250 Million Betting Lines", "url": "https://pena.lt/y/2025/07/16/how-accurate-are-soccer-odds/", "published_at": "2025-07-16T19:30:00+00:00" }, { "id": "01a087bf-0e14-7270-a6e0-3f2c44a01aa7", "title": "MatchFlow 1.4.0: Optimizing, Visualizing, and Validating your Data Pipelines", "url": "https://pena.lt/y/2025/06/10/matchflow-1.4.0/", "published_at": "2025-06-10T19:30:00+00:00" }, { "id": "01a087bf-0e14-7270-a6e0-3f2c456bfbc0", "title": "Introducing MatchFlow: a JSON-native query engine for football data.", "url": "https://pena.lt/y/2025/05/25/matchflow-introduction/", "published_at": "2025-05-25T19:30:00+00:00" }, { "id": "01a087bf-0e14-7270-a6e0-3f2c45e99998", "title": "Better Metrics for Football Forecasts: Moving Beyond the Ranked Probability Score", "url": "https://pena.lt/y/2025/05/01/better-metrics-for-football-forecasts-moving-beyond-the-ranked-probability-score/", "published_at": "2025-05-01T19:30:00+00:00" }, { "id": "01a087bf-0e14-7270-a6e0-3f2c46a923d2", "title": "Pi Ratings: The Smarter Way to Rank Football Teams", "url": "https://pena.lt/y/2025/04/14/pi-ratings-the-smarter-way-to-rank-football-teams/", "published_at": "2025-04-14T19:30:00+00:00" }, { "id": "01a087bf-0e14-7270-a6e0-3f2c476dbfce", "title": "Football Prediction Models: Which Ones Work the Best?", "url": "https://pena.lt/y/2025/03/10/which-model-should-you-use-to-predict-football-matches/", "published_at": "2025-03-10T19:30:00+00:00" }, { "id": "01a087bf-0e15-70b3-b969-695d7a560cf0", "title": "Calculating Expected Threat in Python Using Linear Algebra", "url": "https://pena.lt/y/2025/01/08/calculating-expected-threat-in-python-using-linear-algebra/", "published_at": "2025-01-08T19:30:00+00:00" }, { "id": "01a087bf-0e15-70b3-b969-695d7a6a63ad", "title": "Estimating Goal Expectancy From Bookmaker's Odds", "url": "https://pena.lt/y/2022/12/02/goal-expectancy-from-bookmakers-odds-using-python/", "published_at": "2022-12-02T19:30:00+00:00" }, { "id": "01a087bf-0e15-70b3-b969-695d7a991b64", "title": "Penaltyblog Python Package Updated to v0.5.1", "url": "https://pena.lt/y/2022/11/04/penaltyblog-python-package-v5/", "published_at": "2022-11-04T19:30:00+00:00" }, { "id": "01a087bf-0e15-70b3-b969-695d7ab41d5e", "title": "Ten Years of pena.lt/y/blog", "url": "https://pena.lt/y/2022/10/18/ten-year-anniversary/", "published_at": "2022-10-18T19:30:00+00:00" }, { "id": "01a087bf-0e15-70b3-b969-695d7b939445", "title": "Scraping Football Data Using the penaltyblog Python Package", "url": "https://pena.lt/y/2022/08/05/scraping-football-data-using-penaltyblog-python-package/", "published_at": "2022-08-05T19:30:00+00:00" }, { "id": "01a087bf-0e15-70b3-b969-695d7b9d1d2b", "title": "Predicting Football Results Using Bayesian Modelling with Python and PyMC3", "url": "https://pena.lt/y/2021/08/25/predicting-football-results-using-bayesian-statistics-with-python-and-pymc3/", "published_at": "2021-08-25T19:30:00+00:00" }, { "id": "01a087bf-0e15-70b3-b969-695d7bd5a239", "title": "Predicting Football Results Using Python and the Dixon and Coles Model", "url": "https://pena.lt/y/2021/06/24/predicting-football-results-using-python-and-dixon-and-coles/", "published_at": "2021-06-24T19:30:00+00:00" }, { "id": "01a087bf-0e15-70b3-b969-695d7c2000a4", "title": "Predicting Football Results With the Poisson Distribution", "url": "https://pena.lt/y/2021/06/18/predicting-football-results-using-the-poisson-distribution/", "published_at": "2021-06-18T19:30:00+00:00" }, { "id": "01a087bf-0e15-70b3-b969-695d7cf64aa1", "title": "Which Young Players Will be Stars?", "url": "https://pena.lt/y/2021/05/19/which-young-players-will-be-stars/", "published_at": "2021-05-19T19:30:00+00:00" }, { "id": "01a087bf-0e15-70b3-b969-695d7da004ea", "title": "Predicting Player Career Trajectories", "url": "https://pena.lt/y/2021/05/03/introducing-career-trajectories/", "published_at": "2021-05-03T19:30:00+00:00" }, { "id": "01a087bf-0e15-70b3-b969-695d7e6ce8de", "title": "Sharing xG Using Multi-touch Attribution Modelling", "url": "https://pena.lt/y/2019/11/23/multitouch-attributed-xg/", "published_at": "2019-11-23T19:30:00+00:00" }, { "id": "01a087bf-0e15-70b3-b969-695d7ec21389", "title": "VAR, What is it Good For?", "url": "https://pena.lt/y/2019/08/22/var-what-is-it-good-for/", "published_at": "2019-08-22T19:30:00+00:00" }, { "id": "01a087bf-0e15-70b3-b969-695d7f05cde1", "title": "Opta Pro Forum 2018", "url": "https://pena.lt/y/2018/11/21/opta-pro-forum-2018/", "published_at": "2018-11-21T19:30:00+00:00" }, { "id": "01a087bf-0e15-70b3-b969-695d7f4d7fdc", "title": "Automated Feature Engineering", "url": "https://pena.lt/y/2018/05/25/deep-feature-synthesis-automated-feature-engineering/", "published_at": "2018-05-25T19:30:00+00:00" }, { "id": "01a087bf-0e15-70b3-b969-695d801620ad", "title": "Deep Learning in R Using Keras", "url": "https://pena.lt/y/2017/09/11/deep-learning-in-r-keras/", "published_at": "2017-09-11T19:30:00+00:00" }, { "id": "01a087bf-0e15-70b3-b969-695d8078b8f8", "title": "An Alternatve to Radars for Visualising Football Data", "url": "https://pena.lt/y/2017/07/17/radar-alternatives-football-data/", "published_at": "2017-07-17T19:30:00+00:00" }, { "id": "01a087bf-0e15-70b3-b969-695d815564c9", "title": "Opta Pro Forum 2017", "url": "https://pena.lt/y/2017/03/11/opta-pro-forum-2017/", "published_at": "2017-03-11T19:30:00+00:00" }, { "id": "01a087bf-0e15-70b3-b969-695d81801b91", "title": "Opta Pro Forum 2016", "url": "https://pena.lt/y/2016/12/20/opta-pro-forum-2016/", "published_at": "2016-12-20T19:30:00+00:00" }, { "id": "01a087bf-0e15-70b3-b969-695d82250e02", "title": "A Footballer Recommendation Engine", "url": "https://pena.lt/y/2016/06/30/footballer-recommendation-engine/", "published_at": "2016-06-30T19:30:00+00:00" }, { "id": "01a087bf-0e15-70b3-b969-695d82b25d04", "title": "Expected Goals and Uncertainty", "url": 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"2015-11-24T19:30:00+00:00" }, { "id": "01a087bf-0e15-70b3-b969-695d84dad91a", "title": "Mathematically Optimising Your Fantasy Football Team: Redux", "url": "https://pena.lt/y/2015/08/07/mathematically-optimising-fantasy-football-team-redux/", "published_at": "2015-08-07T19:30:00+00:00" }, { "id": "01a087bf-0e15-70b3-b969-695d85bdc280", "title": "Expected Goals And Support Vector Machines", "url": "https://pena.lt/y/2015/07/13/expected-goals-svm/", "published_at": "2015-07-13T19:30:00+00:00" }, { "id": "01a087bf-0e15-70b3-b969-695d86ab34ed", "title": "PlayerRatings And False Negatives", "url": "https://pena.lt/y/2015/04/23/playerratings-and-false-negatives/", "published_at": "2015-04-23T19:30:00+00:00" }, { "id": "01a087bf-0e15-70b3-b969-695d878c12f0", "title": "Backtesting PlayerRatings", "url": "https://pena.lt/y/2015/04/09/backtesting-playerratings/", "published_at": "2015-04-09T19:30:00+00:00" }, { "id": "01a087bf-0e15-70b3-b969-695d884e5a2c", "title": "PlayerRatings And Team 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}, { "id": "01a087bf-0e15-70b3-b969-695d8ce36f3f", "title": "Expected Goals And Exponential Decay", "url": "https://pena.lt/y/2014/04/22/expected-goals-and-exponential-decay/", "published_at": "2014-04-22T19:30:00+00:00" }, { "id": "01a087bf-0e15-70b3-b969-695d8d5551d5", "title": "Expected Goals: The Y Axis", "url": "https://pena.lt/y/2014/04/16/expected-goals-the-y-xis/", "published_at": "2014-04-16T19:30:00+00:00" }, { "id": "01a087bf-0e15-70b3-b969-695d8d6428a3", "title": "English Premier League Pythagorean Update", "url": "https://pena.lt/y/2014/04/04/english-premier-league-pythagorean-update/", "published_at": "2014-04-04T19:30:00+00:00" }, { "id": "01a087bf-0e15-70b3-b969-695d8e08eaf0", "title": "Expected Goals Updated", "url": "https://pena.lt/y/2014/03/01/expected-goals-updated/", "published_at": "2014-03-01T19:30:00+00:00" }, { "id": "01a087bf-0e15-70b3-b969-695d8ec8c017", "title": "Actual Goals Versus Expected Goals", "url": 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"https://pena.lt/y/2013/04/26/ei-match-probabilities-for-the-english-premier-league-2/", "published_at": "2013-04-26T19:30:00+00:00" }, { "id": "01a087bf-0e16-712f-9a28-fb795c904acb", "title": "EI Match Probabilities for the English Premier League", "url": "https://pena.lt/y/2013/04/19/ei-match-probabilities-for-the-english-premier-league/", "published_at": "2013-04-19T19:30:00+00:00" }, { "id": "01a087bf-0e16-712f-9a28-fb795d162bd7", "title": "EI Match Predictions for the English Premier League", "url": "https://pena.lt/y/2013/04/12/ei-match-predictions-for-the-english-premier-league-6/", "published_at": "2013-04-12T19:30:00+00:00" }, { "id": "01a087bf-0e16-712f-9a28-fb795ddfec69", "title": "EI Match Predictions for the English Premier League", "url": "https://pena.lt/y/2013/04/05/ei-match-predictions-for-the-english-premier-league-5/", "published_at": "2013-04-05T19:30:00+00:00" }, { "id": "01a087bf-0e16-712f-9a28-fb795eda0c67", "title": "Understanding Total Shot Ratio in Football", "url": "https://pena.lt/y/2013/04/02/understanding-total-shot-ratio-in-football/", "published_at": "2013-04-02T19:30:00+00:00" }, { "id": "01a087bf-0e16-712f-9a28-fb795f86a618", "title": "EI Match Predictions for the English Premier League", "url": "https://pena.lt/y/2013/03/28/ei-match-predictions-for-the-english-premier-league-4/", "published_at": "2013-03-28T19:30:00+00:00" }, { "id": "01a087bf-0e16-712f-9a28-fb795f9e3c05", "title": "How Accurate Are The EI Football Predictions?", "url": "https://pena.lt/y/2013/03/21/how-accurate-are-the-ei-football-predictions/", "published_at": "2013-03-21T19:30:00+00:00" }, { "id": "01a087bf-0e16-712f-9a28-fb796026dcc8", "title": "Is Brendan Rogers Improving Liverpool?", "url": "https://pena.lt/y/2013/03/13/is-brendan-rogers-improving-liverpool/", "published_at": "2013-03-13T19:30:00+00:00" }, { "id": "01a087bf-0e16-712f-9a28-fb7960e3ad89", "title": "EI Match Predictions for the English Premier League", "url": "https://pena.lt/y/2013/03/08/ei-match-predictions-for-the-english-premier-league-3/", "published_at": "2013-03-08T19:30:00+00:00" }, { "id": "01a087bf-0e16-712f-9a28-fb7960f19896", "title": "EI Match Predictions for the English Premier League", "url": "https://pena.lt/y/2013/03/01/ei-match-predictions-for-the-english-premier-league-2/", "published_at": "2013-03-01T19:30:00+00:00" }, { "id": "01a087bf-0e16-712f-9a28-fb7961bf1bf8", "title": "EI Match Predictions for the English Premier League", "url": "https://pena.lt/y/2013/02/28/how-did-the-ei-predictions-do/", "published_at": "2013-02-28T19:30:00+00:00" }, { "id": "01a087bf-0e16-712f-9a28-fb7961eb910a", "title": "EI Match Predictions for the English Premier League", "url": "https://pena.lt/y/2013/02/21/ei-match-predictions-for-the-english-premier-league/", "published_at": "2013-02-21T19:30:00+00:00" }, { "id": "01a087bf-0e16-712f-9a28-fb796212c787", "title": "Introducing the Eastwood Index", "url": "https://pena.lt/y/2013/02/21/rating-teams-and-predicting-football-matches-using-the-ei-index/", "published_at": "2013-02-21T19:30:00+00:00" }, { "id": "01a087bf-0e16-712f-9a28-fb79623ec6f9", "title": "Understanding Elo Ratings Part Two", "url": "https://pena.lt/y/2013/02/07/applying-elo-ratings-to-football/", "published_at": "2013-02-07T19:30:00+00:00" }, { "id": "01a087bf-0e16-712f-9a28-fb7963243c53", "title": "Understanding Elo Ratings", "url": "https://pena.lt/y/2013/01/31/understanding-elo-ratings/", "published_at": "2013-01-31T19:30:00+00:00" }, { "id": "01a087bf-0e16-712f-9a28-fb79638e7f58", "title": "Predicting Football Matches Using Shot Data Part Two", "url": "https://pena.lt/y/2013/01/25/predicting-football-matches-using-shots-on-target/", "published_at": "2013-01-25T19:30:00+00:00" }, { "id": "01a087bf-0e16-712f-9a28-fb7963e5ecf3", "title": "What Is The Chance of Bradford City reaching Wembley?", "url": "https://pena.lt/y/2013/01/22/what-is-the-chance-of-bradford-city-reaching-wembley/", "published_at": "2013-01-22T19:30:00+00:00" }, { "id": "01a087bf-0e16-712f-9a28-fb796497a01c", "title": "Predicting Football Matches Using Shot Data", "url": "https://pena.lt/y/2013/01/21/predicting-football-matches-using-shot-data/", "published_at": "2013-01-21T19:30:00+00:00" }, { "id": "01a087bf-0e16-712f-9a28-fb796515990e", "title": "Predicting The Premier League Using The Refined Pythagorean Equation", "url": "https://pena.lt/y/2013/01/18/predicting-the-premier-league-betting-expert/", "published_at": "2013-01-18T19:30:00+00:00" }, { "id": "01a087bf-0e16-712f-9a28-fb7965ad9583", "title": "How Early In The Season Can Pythagorean Predictions Be Made?", "url": "https://pena.lt/y/2013/01/02/how-early-in-the-season-can-pythagorean-predictions-be-made/", "published_at": "2013-01-02T19:30:00+00:00" }, { "id": "01a087bf-0e16-712f-9a28-fb7966092bc1", "title": "What Has Caused Dimitar Berbatov’s Recent Lack of Goals?", "url": "https://pena.lt/y/2012/12/15/what-has-caused-dimitar-berbatovs-recent-lack-of-goals/", "published_at": "2012-12-15T19:30:00+00:00" }, { "id": "01a087bf-0e16-712f-9a28-fb7966857c51", "title": "Using the Pythagorean Expectation Across Leagues Wordwide", "url": "https://pena.lt/y/2012/12/10/using-the-pythagorean-expectation-across-leagues-wordwide/", "published_at": "2012-12-10T19:30:00+00:00" }, { "id": "01a087bf-0e16-712f-9a28-fb79673587dc", "title": "Applying the Pythagorean Expectation to Football: Part Two", "url": "https://pena.lt/y/2012/12/03/applying-the-pythagorean-expectation-to-football-part-two/", "published_at": "2012-12-03T19:30:00+00:00" }, { "id": "01a087bf-0e16-712f-9a28-fb796750061e", "title": "Applying the Pythagorean Expectation to Football: Part One", "url": "https://pena.lt/y/2012/11/26/applying-the-pythagorean-expectation-to-football-part-one/", "published_at": "2012-11-26T19:30:00+00:00" }, { "id": "01a087bf-0e16-712f-9a28-fb7967c6708d", "title": "Disparity in European Football Leagues", "url": "https://pena.lt/y/2012/11/20/disparity-in-european-football-leagues/", "published_at": "2012-11-20T19:30:00+00:00" }, { "id": "01a087bf-0e16-712f-9a28-fb7968293d8e", "title": "Analysis of André Villas-Boas Vs Harry Redknapp", "url": "https://pena.lt/y/2012/11/18/analysis-of-andre-villas-boas-vs-harry-redknapp/", "published_at": "2012-11-18T19:30:00+00:00" }, { "id": "01a087bf-0e16-712f-9a28-fb79682bde52", "title": "Effect of Season Length on Deciding the League Champion", "url": "https://pena.lt/y/2012/11/12/effect-of-season-length-on-league-champions/", "published_at": "2012-11-12T19:30:00+00:00" }, { "id": "01a087bf-0e16-712f-9a28-fb7968eb893e", "title": "How Often Does The Best Team Win The League?", "url": "https://pena.lt/y/2012/11/08/how-often-does-the-best-team-win-the-league/", "published_at": "2012-11-08T19:30:00+00:00" }, { "id": "01a087bf-0e16-712f-9a28-fb79692d8507", "title": "The Poisson Model So Far", "url": "https://pena.lt/y/2012/11/02/the-poisson-model-so-far/", "published_at": "2012-11-02T19:30:00+00:00" }, { "id": "01a087bf-0e16-712f-9a28-fb7969da598a", "title": "Using Poisson to Predict Football Matches", "url": "https://pena.lt/y/2012/10/29/using-poisson-to-predict-football-matches/", "published_at": "2012-10-29T19:30:00+00:00" } ] posts Claim your blog
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pena.lt

pena.lt

2026

Penaltyblog v1.11.0: Faster Batch Predictions, Neutral Venue Support, a Pretrained xT Model, and Faster Weibull Copula Fitsoriginal ↗
9 Jun 2026
Why I Wrote My Own MCMC Sampler for Penaltyblogoriginal ↗
8 Jan 2026

2025

Introducing the Opta API Connector for matchfloworiginal ↗
30 Nov 2025
Shrinkage, Uncertainty, and Son Heung-min: Using Bayesian Methods to Identify Finishing Abilityoriginal ↗
1 Oct 2025
From Biased Odds to Fair Probabilities: Removing the Bookmaker's Overroundoriginal ↗
14 Sept 2025
Penaltyblog v1.5.0: Faster Models, Smarter Queries, and a Sharper Edgeoriginal ↗
14 Aug 2025
How Accurate Are Soccer Odds? A Data Dive into 250 Million Betting Linesoriginal ↗
16 Jul 2025
MatchFlow 1.4.0: Optimizing, Visualizing, and Validating your Data Pipelinesoriginal ↗
10 Jun 2025
Introducing MatchFlow: a JSON-native query engine for football data.original ↗
25 May 2025
Better Metrics for Football Forecasts: Moving Beyond the Ranked Probability Scoreoriginal ↗
1 May 2025
Pi Ratings: The Smarter Way to Rank Football Teamsoriginal ↗
14 Apr 2025
Football Prediction Models: Which Ones Work the Best?original ↗
10 Mar 2025
Calculating Expected Threat in Python Using Linear Algebraoriginal ↗
8 Jan 2025

2022

Estimating Goal Expectancy From Bookmaker's Oddsoriginal ↗
2 Dec 2022
Penaltyblog Python Package Updated to v0.5.1original ↗
4 Nov 2022
Ten Years of pena.lt/y/blogoriginal ↗
18 Oct 2022
Scraping Football Data Using the penaltyblog Python Packageoriginal ↗
5 Aug 2022

2021

Predicting Football Results Using Bayesian Modelling with Python and PyMC3original ↗
25 Aug 2021
Predicting Football Results Using Python and the Dixon and Coles Modeloriginal ↗
24 Jun 2021
Predicting Football Results With the Poisson Distributionoriginal ↗
18 Jun 2021
Which Young Players Will be Stars?original ↗
19 May 2021
Predicting Player Career Trajectoriesoriginal ↗
3 May 2021

2019

Sharing xG Using Multi-touch Attribution Modellingoriginal ↗
23 Nov 2019
VAR, What is it Good For?original ↗
22 Aug 2019

2018

Opta Pro Forum 2018original ↗
21 Nov 2018
Automated Feature Engineeringoriginal ↗
25 May 2018

2017

Deep Learning in R Using Kerasoriginal ↗
11 Sept 2017
An Alternatve to Radars for Visualising Football Dataoriginal ↗
17 Jul 2017
Opta Pro Forum 2017original ↗
11 Mar 2017

2016

Opta Pro Forum 2016original ↗
20 Dec 2016
A Footballer Recommendation Engineoriginal ↗
30 Jun 2016
Expected Goals and Uncertaintyoriginal ↗
29 Apr 2016
Ranking Football Teams Using Google's Page Rank Algorithmoriginal ↗
21 Mar 2016
It’s Not Just The Money: Quality of Signings Suggest China Could Become a Major Power in Club Footballoriginal ↗
29 Feb 2016

2015

Frequency of Draws in Footballoriginal ↗
12 Dec 2015
Updated Massey Ratingsoriginal ↗
24 Nov 2015
Mathematically Optimising Your Fantasy Football Team: Reduxoriginal ↗
7 Aug 2015
Expected Goals And Support Vector Machinesoriginal ↗
13 Jul 2015
PlayerRatings And False Negativesoriginal ↗
23 Apr 2015
Backtesting PlayerRatingsoriginal ↗
9 Apr 2015
PlayerRatings And Team Qualityoriginal ↗
9 Mar 2015
PlayerRating: A Bayesian Method For Evaluating Football Playersoriginal ↗
26 Feb 2015
Mathematically Optimising Your Fantasy Football Team: Updateoriginal ↗
21 Jan 2015

2014

Massey Ratings For Football Part Twooriginal ↗
4 Dec 2014
Massey Ratings For Football Part Oneoriginal ↗
27 Nov 2014
English Premier League Pythagoreanoriginal ↗
4 Nov 2014
Predicting Football Using Roriginal ↗
2 Nov 2014
Expected Goals: Foot Shots Versus Headersoriginal ↗
28 Aug 2014
Mathematically Optimising Your Fantasy Football Teamoriginal ↗
24 Jul 2014
Expected Goals And Exponential Decayoriginal ↗
22 Apr 2014
Expected Goals: The Y Axisoriginal ↗
16 Apr 2014
English Premier League Pythagorean Updateoriginal ↗
4 Apr 2014
Expected Goals Updatedoriginal ↗
1 Mar 2014
Actual Goals Versus Expected Goalsoriginal ↗
15 Feb 2014
Expected Goals For Alloriginal ↗
12 Feb 2014
Comparing Players Using Cluster Analysisoriginal ↗
10 Feb 2014
EPL 2013/2014: Football Pythagorean So Faroriginal ↗
20 Jan 2014

2013

UEFA Champions League – Route To The Finaloriginal ↗
30 Sept 2013
Analysing Football Teams Using Cluster Analysis and Principal Component Analysisoriginal ↗
30 Aug 2013
Anouncementoriginal ↗
19 Jun 2013
Betting With The Eastwood Index And Kelly Criterionoriginal ↗
23 May 2013
Did The Eastwood Index Beat The Bookmakers?original ↗
21 May 2013
EI Match Probabilities for the English Premier Leagueoriginal ↗
17 May 2013
EI Match Probabilities for the English Premier Leagueoriginal ↗
10 May 2013
MLS Player Salaries: 2013original ↗
10 May 2013
The Eastwood Index, MLS and Parityoriginal ↗
7 May 2013
EI Match Probabilities for the English Premier Leagueoriginal ↗
3 May 2013
How Much Does Luck Affect MLS?original ↗
2 May 2013
How Much Does Luck Affect Football?original ↗
30 Apr 2013
What Is A Meaningful Sample Size?original ↗
28 Apr 2013
EI Match Probabilities for the English Premier Leagueoriginal ↗
26 Apr 2013
EI Match Probabilities for the English Premier Leagueoriginal ↗
19 Apr 2013
EI Match Predictions for the English Premier Leagueoriginal ↗
12 Apr 2013
EI Match Predictions for the English Premier Leagueoriginal ↗
5 Apr 2013
Understanding Total Shot Ratio in Footballoriginal ↗
2 Apr 2013
EI Match Predictions for the English Premier Leagueoriginal ↗
28 Mar 2013
How Accurate Are The EI Football Predictions?original ↗
21 Mar 2013
Is Brendan Rogers Improving Liverpool?original ↗
13 Mar 2013
EI Match Predictions for the English Premier Leagueoriginal ↗
8 Mar 2013
EI Match Predictions for the English Premier Leagueoriginal ↗
1 Mar 2013
EI Match Predictions for the English Premier Leagueoriginal ↗
28 Feb 2013
EI Match Predictions for the English Premier Leagueoriginal ↗
21 Feb 2013
Introducing the Eastwood Indexoriginal ↗
21 Feb 2013
Understanding Elo Ratings Part Twooriginal ↗
7 Feb 2013
Understanding Elo Ratingsoriginal ↗
31 Jan 2013
Predicting Football Matches Using Shot Data Part Twooriginal ↗
25 Jan 2013
What Is The Chance of Bradford City reaching Wembley?original ↗
22 Jan 2013
Predicting Football Matches Using Shot Dataoriginal ↗
21 Jan 2013
Predicting The Premier League Using The Refined Pythagorean Equationoriginal ↗
18 Jan 2013
How Early In The Season Can Pythagorean Predictions Be Made?original ↗
2 Jan 2013

2012

What Has Caused Dimitar Berbatov’s Recent Lack of Goals?original ↗
15 Dec 2012
Using the Pythagorean Expectation Across Leagues Wordwideoriginal ↗
10 Dec 2012
Applying the Pythagorean Expectation to Football: Part Twooriginal ↗
3 Dec 2012
Applying the Pythagorean Expectation to Football: Part Oneoriginal ↗
26 Nov 2012
Disparity in European Football Leaguesoriginal ↗
20 Nov 2012
Analysis of André Villas-Boas Vs Harry Redknapporiginal ↗
18 Nov 2012
Effect of Season Length on Deciding the League Championoriginal ↗
12 Nov 2012
How Often Does The Best Team Win The League?original ↗
8 Nov 2012
The Poisson Model So Faroriginal ↗
2 Nov 2012
Using Poisson to Predict Football Matchesoriginal ↗
29 Oct 2012