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The OddsIQ Blog

Model methodology, tournament analysis, and honest writing about what the math can and can’t tell you.

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Five Teams the Betting Market Overrates for World Cup 2026

Bookmaker odds aren't just probabilities — they're probabilities plus a margin plus the weight of public money. Here are five teams the market currently overrates compared to our model.

OddsIQ Team · 9 min read · April 26, 2026
world-cupvalue-betsmarket-analysis

Five Teams the Betting Market Underrates for World Cup 2026

If we're calling out overpriced teams, we owe you the matched pair. Here are five teams our model rates higher than current bookmaker odds — and why.

OddsIQ Team · 9 min read · April 26, 2026
world-cupvalue-betsmarket-analysis

How to Read a Calibration Chart (And Why It's the Honest Way to Judge a Forecaster)

Calibration charts tell you whether a forecaster's predictions actually mean what they say. Here's how to read one, what good and bad look like, and why almost no betting tipster will show you theirs.

OddsIQ Team · 8 min read · April 26, 2026
methodologycalibrationtransparencyexplainer

The Kelly Criterion Explained Simply (And Why You Probably Shouldn't Use the Full Version)

The mathematical formula for optimal bet sizing. Why it works, why it'll wreck you in practice, and the conservative version professional bettors actually use.

OddsIQ Team · 8 min read · April 26, 2026
bankroll-managementkelly-criterionbetting-strategyexplainer

Sharp Money: How to Read Line Shifts (And Why They Tell You More Than the Opening Number)

Bookmaker odds aren't static — they move as money comes in. The direction and speed of those moves carry information. Here's how to read them.

OddsIQ Team · 9 min read · April 26, 2026
sharp-moneybetting-marketsexplainerline-movement

What We Got Wrong This Season (Calibration Honesty, Q1 2026)

We've been live for a few months. Here are the matches our model got most badly wrong, what they tell us, and where the real biases are.

OddsIQ Team · 7 min read · April 26, 2026
calibrationtransparencypost-mortemself-assessment

Why Most 2018 World Cup Models Were Wrong (And What We Learned)

Croatia reached the final at 2.4% pre-tournament probability. Russia made the quarters at under 1%. The miss wasn't bad luck — it was structural. Here's what we changed.

OddsIQ Team · 9 min read · April 26, 2026
world-cupcalibrationmodel-historytransparency

Why Penalty Shootouts Are Almost Unpredictable (And What Our Model Does About It)

Germany's 83% historical shootout win rate. England's 14%. Real pattern or small sample noise? Here's what 60 years of World Cup penalties actually tell you.

OddsIQ Team · 8 min read · April 26, 2026
world-cuppenalty-shootoutsmethodologystatistics

How OddsIQ's Premier League Model Actually Works

Every tipster site claims to have an edge. Here's ours, laid out in full — the math, the inputs, the feedback loop, and the things we'll never be able to predict.

OddsIQ Team · 7 min read · April 18, 2026
methodologypremier-leaguemodeltransparency

Inside OddsIQ's World Cup 2026 Model: 50,000 Simulations, 48 Teams, One Trophy

Predicting a World Cup is harder than predicting a league. Here's how we simulate the entire tournament 50,000 times every single day — and what the numbers can and can't tell you.

OddsIQ Team · 10 min read · April 18, 2026
methodologyworld-cupmonte-carlotournament-forecasting

What 50,000 Monte Carlo Simulations Actually Tell You

Run a tournament 50,000 times and you don't get a prediction — you get a distribution. Here's the difference, why it matters, and what to do with it.

OddsIQ Team · 9 min read · April 15, 2026
methodologymonte-carloexplainerworld-cup

Why We Don't Model Injuries (And Why You Should Be Suspicious of Models That Do)

Every betting model that claims to factor in injuries is either using bad data or pretending. Here's what we tried, why we stopped, and what we use instead.

OddsIQ Team · 8 min read · April 15, 2026
methodologytransparencymodel-limitations

Why xG Is Overrated for Predicting Upsets

Expected goals revolutionised football analysis. It also produces some of the worst upset predictions in betting. Here's why xG falls down in the matches you actually care about.

OddsIQ Team · 8 min read · April 15, 2026
methodologyxgmodel-limitationscontrarian