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Sportsbooks’ go-to source for sports betting trends, data, expert analysis, and educational content.

Machine Learning in Odds Trading: Where It Works and Fails

Machine learning (ML) has reshaped odds trading over the past decade, helping sportsbooks operate faster, at greater scale, and with tighter margins. For experienced operators, the debate is no longer about whether ML adds value. It clearly does. The more...

Sports Data: How New Football Formats Reshaped Betting Demand in Sportsbooks

The pace of sports betting remains relentless, fueled by headline-making acquisitions and sweeping regulatory changes across global markets. These forces both shape—and are shaped by—the...

Managing Micro-Markets: The True Cost of Instant Betting

Explore how micro-markets reshape sports betting. Learn the risks, challenges, and strategies sportsbooks need to manage sharp bettors and real-time edge....

The 30-Point Problem: How Basketball Blowouts Expose Trading Vulnerabilities

Even the most sophisticated quant models in sports betting can unravel when faced with garbage time dynamics. While algorithms excel at pricing competitive basketball, they...
A vibrant tennis ball surrounded by digital data visualizations with the text "The Power of ELO Tennis Rating Explained"

Why ELO Ratings Matter More Than ATP in Tennis Betting

All Arpad Elo wanted was to improve how chess players were ranked in the U.S....
Focused table tennis player prepares to return a shot, with data visualizations in the background.

Table Tennis Betting: A Top Sportsbook Revenue Driver

Over the past few years, niche sports and lesser-known competitions have evolved from “nice-to-have” content into essential revenue drivers for sportsbooks. In an increasingly crowded...
DEFEND risk management system interface and features

Proactive Risk Management: How to Protect Your Sportsbook from Evolving Threats

During the recent NFL season, sharp bettors seized on sudden market movements, exploiting odds changes in ways sportsbooks didn’t anticipate. The result? Substantial losses for...