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(9 - 15 February) Rotterdam's indoor courts present an intriguing puzzle: players describe slow, heavy conditions, yet the statistics tell a different story. Here's what the data really shows.

Match-fixing in tennis won’t disappear, but stronger oversight and higher prize money suggest it’s declining — and it should keep falling over the next few years.

(2 - 8 February) Montpellier’s indoor hard courts appeared historically slow, but 2025 data suggests a clear speed shift, likely from resurfacing. This faster conditions should favour big servers.

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Moneyline, handicaps, totals — bookmakers apply different settlement rules after retirements. You need to know exactly which rules your bookmakers follow.

Summary of a The Economist article on how bookmakers detect and block data-savvy gamblers — and how some manage to get around those restrictions.

Following tennis players on Insta - and their partners - can reveal rest periods the market ignores, adding valuable info to helps bettors find small edges.

A data-driven analysis of how Grand Slam matches are decided, from straight-sets wins to five-set battles and retirements.

Betting on underdogs at the Australian Open (Women) is a losing game, but less negative than in the men, due to the best-of-3 format.

Discover why betting on underdogs at the Australian Open is a financial disaster. An analysis of 2,008 matches reveals a brutal -20.1% yield.

What are betting brokers? Complete guide with 20 years of experience. BetInAsia & MadMarket reviewed + exclusive 0.11% lifetime cashback.

Data analysis of 40,000 ATP matches proves the Favorite-Longshot Bias in betting. Underdogs yield -5.6% vs -2.0% on favorites. See the evidence.

The Favorite-Longshot Bias is a concept any serious bettor should know. It can save you a lot of money if you often bet on big underdogs.