HeyJaredThe xG Football Club
Where football meets data science. Explore in-depth analyses, research papers, and innovative metrics shaping the beautiful game.
- Indexed issues, last 90 days
- 16
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- Sep 30, 2026
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- Aug 12, 2026
Latest issues
Monthly xG Report — September 2026 (opens the original)
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Before diving into the analyses, I know everyone’s time is limited and inboxes are overflowing. Think of this section as your monthly shortcut: a way to quickly decide which pieces to revisit, which insights to prioritize, and to catch up in case you missed anything.September brought together a wide range of questions about how football can be measured, interpreted and applied. We explored how player performance translates between leagues, how team strength shifts between domestic and European c
It Is the Era of Pressing, We Need Better Metrics (opens the original)
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Subscribe nowThe following summary critically reviews the research paper titled “Pressing Intensity: An Intuitive Measure for Pressing in Soccer” by Joris Bekkers. All data, figures, and analysis presented here are drawn from their original work; I do not claim any authorship or ownership of the content. This summary has been written to provide a concise and technically informed synthesis of the paper’s findings, methodologies, and implications, while maint
TI #038: Are Counterattacks Actually More Effective Than Positional Attacks? (opens the original)
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Across 5,700 matches in La Liga, the Premier League and Serie A, counterattacks consistently came out on top, but the more interesting story is what separates the teams that execute them well.There is a simple tactical trade-off at the heart of attacking football.Keep the ball, move the opponent, create space and wait for the right opening. Or attack before the opponent has time to recover their defensive structure.Both approaches can work. But if the objective is simply to turn an attacking seq
How Strong Is a Team Outside Its Own League? (opens the original)
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Subscribe nowThe following summary critically reviews the research paper titled "B-CLAD: A Bayesian Competition-Linked Attack–Defence Model for Team Strength" by Tim Schiettecatte and Jan Van Haaren. All data, figures, and analysis presented here are drawn from their original work; I do not claim any authorship or ownership of the content. This summary has been written to provide a concise and technically informed synthesis of the paper’s findings, methodologies,
TI #037: Can the Fixture List Make a League Look More Competitive? (opens the original)
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Subscribe nowThe same teams, the same results, but a different schedule can change how long a league feels genuinely openCompetitive balance is usually treated as a question of team quality.Are the strongest clubs too strong? Are the weakest teams too weak? Is the financial gap becoming impossible to close?But this paper introduces a much less obvious idea:What if part of how competitive a league feels depe
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