Sports Analytics Weekly by kubeia.io - 50/2025
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🎲 Betting
French tennis player Quentin Folliot suspended for 20 years
itia.tennis
The International Tennis Integrity Agency (ITIA) today confirms that French tennis player Quentin Folliot has been suspended from the sport for a period of 20 years, fined $70,000, and ordered to repay corrupt payments totalling more than $44,000 after committing 27 breaches of the Tennis Anti-Corruption Program (TACP).
📝 Sports Analytics
Arsenal compared to expectations: KPI Update for December 2025/26
cannonstats.com - Scott Willis
Checking in on how Arsenal are performing compared to the Key Performance Indicators for the 2025-26 season
Why Some Clubs Turn Data Into Wins — and Others Don’t
substack.com - Alex Marin Felices
What research shows about tactical modelling, automation, and the gaps between science and practice.
The Death of the Long-Range Screamer
pythonfootball.com - MartinOnData
Ever since the xG revolution took place, everyone loves saying that xG killed long-range screamers. Well … that sounds like the perfect topic for this little newsletter.
How Good Really Was FiveThirtyEight’s Soccer Power Index?
pythonfootball.com - MartinOnData
FiveThirtyEight has always had a kind of mythic status in the football world. Their Soccer Power Index (SPI) was one of the first “super-model” rating systems I stumbled upon when I began my own analytics journey. And for years — before it was shut down — SPI became a reference point for pre-game probabilities and end-of-season title chances across football Twitter.Last week, I came across a historical dataset that included SPI’s match-by-match outcome probabilities. Naturally, the first question that came to my mind was:“If someone blindly trusted SPI for years… would they have made money?”And that curiosity brings us to today’s issue.
👁️ Computer Vision
How to Detect, Track, and Identify Basketball Players with Computer Vision
roboflow.com - Piotr Skalski
Basketball is one of the hardest sports for computer vision. Players move at high speed, causing motion blur. Bodies crash into each other and overlap, making jersey numbers hard to see. Uniforms look almost identical, so appearance alone is not enough to tell players apart. On top of that, the camera keeps zooming and panning, changing perspective every second.In this blogpost, we show how to overcome these challenges and build a computer vision system that can detect, track, and recognize NBA players during a game.
🕰️ Blast From the Past
Why are gambling markets organised so differently from financial markets?
uchicago.edu - Steven D. Levitt
The market for sports gambling is structured very differently from the typical financial market. In sports betting, bookmakers announce a price, after which adjustments are small and infrequent. Bookmakers do not play the traditional role of market makers matching buyers and sellers but, rather, take large positions with respect to the outcome of game. Using a unique data set, I demonstrate that this peculiar price-setting mechanism allows bookmakers to achieve substantially higher profits. Bookmakers are more skilled at predicting the outcomes of games than bettors and systematically exploit bettor biases by choosing prices that deviate from the market clearing price.