Novus Odds blog
Betting mathematics, explained
Educational articles on probability, expected value, de-vigging, Kelly staking, calibration and the mathematics behind every Novus Odds tool. Synthetic data only — never betting advice.
Sports
Poisson vs Gaussian: Modelling Low-Scoring Sports
Why goals are not points: the distribution you choose for a sport's scoring decides whether draws, upsets and calibration come out right.
Jul 23, 2026 · 11 min read
Sports
The Favourite-Longshot Bias in Nine-Runner Fields
Multi-runner markets like horse racing exaggerate a bias you can measure: longshots return less than their odds imply, favourites a little more.
Jul 23, 2026 · 10 min read
Education
How to Read a Novus Breakdown: Your First Simulation
A guided first run through the Odds Lab — what every panel means, from edge and EV to the discrepancy detector, and how to tell signal from variance.
Jul 22, 2026 · 11 min read
Methodology
What Expected Value Really Means in a Synthetic Market
EV is the most quoted and least understood number in betting mathematics. Here is what it measures, what it ignores, and why a positive-EV lab result is not a promise.
Jul 22, 2026 · 10 min read