Football betting guides
Every betting market is a probability question wearing a price tag. These guides take the markets one at a time and show what each one is really asking, how a bookmaker builds the number, and where the margin hides — then do the same for the arithmetic around them: converting odds to probability, removing the vig, sizing a stake, and reading a losing run. Nothing here is a tip. The point is to leave you able to price a market yourself and judge anyone who claims to have done it for you.
25 articles
Betting exchange vs bookmaker odds: which price is closer to the truth?
Betting exchange vs bookmaker odds, with the maths: how commission, the back-lay spread and liquidity decide which price is the better probability estimate.
Betting 101How bookmakers set football odds: model, margin, market
How bookmakers set football odds, stage by stage: the probability model, the margin that turns it into a price, and the market forces that move it.
Betting 101Value bets explained: what they are and how ours are found
What a value bet is, how to spot one with simple maths, why it can lose more often than it wins, and how our AI reads 140+ signals a match to find them.
Betting 101Multi goals betting explained: how to price a 2-3 goals band
Multi goals betting explained: how to price a 2-3 goals band from a goal distribution, why multiplying two half-goal lines fails, and where the margin hides.
Betting 101The biggest upsets in our data, and why they aren't surprising
The longest-priced winners across 16,628 matches — and the calibration table showing that longshots come in roughly as often as they should, while costing far more than they're worth.
Betting 101Corner betting predictions: the market we don't price, and why
Corner betting predictions, priced honestly: how a corner total is modelled, why plain Poisson gets the spread wrong, and why we publish no corner numbers.
Betting 101Asian total goals explained: the shortcut that works on half the lines
Asian total goals explained: how a quarter line splits your stake, and why averaging the two neighbouring prices is exact on Over 2.25 and 4.6% too generous on 2.75.
Betting 101How to remove the vig from football odds: three methods compared
How to remove the vig from football odds: the proportional method, why it distorts a three-way 1X2 book, and two better alternatives with worked numbers.
Betting 101First team to score betting: the formula that prices the market
First team to score betting explained: the competing-Poisson formula that prices it, a worked example, and why the margin hides in the No Goal price.
Betting 101Correct score betting: why the most likely score is still unlikely
Correct score betting, priced honestly: how a scoreline grid ranks every result, why even the top pick sits near 12%, and why this market's margin is the worst.
Betting 101The favourite-longshot bias: why longshots cost more than they pay
The favourite-longshot bias explained: why longshot odds hide bigger margins than favourites, the math behind it, and how to spot it in any betting record.
Betting 101How often does the favourite win in football?
Published answers range from under 50% to 58%. Across 16,628 matches with closing odds in nine leagues, the favourite wins 53.1% — and the league matters more than you'd think.
Betting 101What is the most common football score?
The most common football score is 1-1, in 12.2% of 17,608 matches across nine leagues — but 1-0 to either side is the most common result. The full table, by league.
Betting 101Accumulator betting math: why big odds are smaller than they look
Accumulator betting math without the hype: how bookmaker margins compound with every leg, why correlated picks mislead, and how to price a multiple honestly.
Betting 101Betting odds formats explained: decimal, fractional and American
Betting odds formats explained with conversions in both directions — and why the format a book shows you decides how easily you can see what it is charging.
Betting 101BTTS rates by league: five seasons of real numbers
BTTS rates by league, measured on 16,000+ matches from 2021-22 to 2025-26: the Bundesliga clears 60%, the Brasileirão sits under 49%, and why the gap matters.
Betting 101The Kelly criterion in football betting: how much to stake on an edge
The Kelly criterion in football betting, explained with worked examples — the formula, why full Kelly ruins bankrolls, and why calibration decides everything.
Betting 101Over 2.5 goals rates by league: the real numbers, 2021-2026
Over 2.5 goals rates by league from 16,000+ matches: the Champions League hits 64%, the Brasileirão 44%, and the 'overs land half the time' rule fails everywhere.
Betting 101How cash out is calculated in football betting, and what it costs
How cash out is calculated in football betting: the formula behind the offer, the second margin hidden inside it, and what it does to a track record.
Betting 101How to predict draws in football: the honest math
How to predict draws in football, honestly: why draw probability tops out near 35%, the two levers that actually move it, and how to judge any draw record.
Betting 101How to convert betting odds to implied probability (properly)
Odds are probabilities with a fee hidden inside. How to convert betting odds to implied probability, measure the margin, and strip it out — step by step.
Betting 101Asian handicap explained: lines, pushes and real margins
Whole, half and quarter lines demystified with the real margin-of-victory distribution from 17,495 matches — and how one scoreline grid prices every line.
Betting 101Double chance explained: safer odds, same maths
How 1X, X2 and 12 really price up, base rates from 17,495 matches, why the same bet is worth less in England than in Spain, and why safer never means better value.
Betting 101Both teams to score (BTTS): a probability guide
What drives BTTS, why it is not Over/Under in disguise, and how to price it from a scoreline grid — with base rates from 17,495 matches across ten competitions.
Betting 101Over/Under 2.5 goals: what the market really prices
Why 2.5 is the line, what actually drives totals, and how a goal model prices Over/Under — with base rates from 17,495 matches and the spread across ten competitions.