MartinOnData
@MartinOnData
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I help football fans get started with Python for forecasting, analytics and visualisation | Tweets and threads about the process
Join 2,900+ readers 👉
Joined April 2022
What would your bankroll look like if you had followed BBC pundits over the past 16 years? Find out below 👇 Forecast data by @Soccer_Stats Odds data by @12Xpert
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The future
Citizens cut query times from 80 to 8 minutes by adopting Polars, but the transformation went beyond speed. It provided, what they called, a "grammar of business logic." Teams moved from intricate nested loops to readable, composable expressions, drastically improving
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The top 10 goals to xG outliers: 10 — Gonzalo Higuain: 113 goals from 104 xG → +9% over-performance 9 — Zlatan Ibrahimovic: 108 goals from 98 xG → +10% 8 — Harry Kane: 272 goals from 240 xG → +13% 7 — Kylian Mbappé: 223 goals from 197 xG → +15% 6 — Lionel Messi: 253
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Which xG Data Should You Trust? Opta, StatsBomb, Wyscout and Understat — the head-to-head comparison nobody shows you. 👇
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Ever since I first watched the Big Bang Theory for the first time I was waiting for such a product 😅
My next small bet is a book! "Quantum Physics for Absolute Beginners" In the book I explain often obscure concepts such as wave-particle duality, superposition, and entanglement, and shed some light on the applications of quantum physics in everyday life I am giving away 20
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We’ve all heard the line: “Not all xG is created equal.” But has anyone shown you how different they really are? This Thursday, I’m comparing xG data from Opta, StatsBomb, Wyscout and Understat. Five leagues. Five seasons. Four providers. Thousands of matches. - Are the
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How soon can you trust the Premier league table? A practical Python project using @12Xpert data. 🙏 Original idea : @AurelNz Check it out 👇 https://t.co/PLvR93MpTU
pythonfootball.com
And what 10 seasons of data reveal about when standings converge.
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Does Wisdom of Crowd work with Betfair exchange odds as the 'reference of truth'. Yes. Data: Closing odds for last season's main leagues, obvious errors removed Rule: bet max market price when max market price > Betfair +2% Outcome: 2,491 bets, ROI=2.49%, xROI 3.91%.
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5 Mistakes Beginners Make When Learning Python for Football (and How to Solve Them) https://t.co/pm70Mv05rX
pythonfootball.com
Hi friend,
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The 5 Mistakes Beginners Make When Learning Python for Football (and How to Solve Them) https://t.co/NlzBYag8eN
pythonfootball.com
Hi friend,
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After 10 years, @Sonny7 has announced he’s leaving Spurs. We’re not just losing the kindest man to grace the @premierleague ; we’re saying goodbye to a world-class finisher whose ball-striking is downright Messi-esque. In my deep dive on shooting royalty, you’ll learn that
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Seasoned analysts joke that wrangling eats 80 % of every project. The joke is funny only because it is true. This Thursday, 2,585 readers will discover: - why wrangling is the invisible yet crucial stage of any analysis, and - the Python shortcut that makes it painless.
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Football Data Collection (in plain English) The 4 Ways to Collect Football Data—and the Best Starting Point for Beginners
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