Soccer analytics / Reference

Soccer analytics glossary

Definitions for interpreting football statistics, probability models and forecasting claims. Know what a number measures before deciding whether it matters.

Expected goals (xG)

The sum of model-estimated scoring probabilities for shots. Shot-based xG derived from actual chances is different from a pre-match forecast of goal rates.

Understand xG

Both teams to score (BTTS)

An event that occurs when each side scores at least once. BTTS Yes and No probabilities can be calculated from a joint distribution of final scores.

Calculate BTTS

Poisson distribution

A probability distribution for counts, often used as a baseline for modeling football goals under assumptions about event rates.

Poisson vs Dixon–Coles

Dixon–Coles adjustment

A low-score dependence correction commonly used alongside Poisson scoring models; its parameters must be fitted and evaluated.

Compare models

Over 2.5 goals

A match total of three or more goals. The half-goal threshold prevents a push on exactly 2.5 goals.

Read score-model guide

Calibration

Agreement, across many forecasts, between stated probabilities and observed event frequencies. A group predicted at 70% should occur about 70% of the time in a well-calibrated model, allowing for sample uncertainty.

Brier score

The mean squared difference between an event probability and its binary result. Lower is better, evaluated against a suitable baseline and on unseen outcomes.

Log loss

A scoring rule that penalizes assigning low probability to an outcome that occurs. It must be computed using valid forecast probabilities, with special attention to numerical limits.

Backtest

A retrospective evaluation on historical observations. Its credibility depends on avoiding leakage, documenting the model version and separating training from testing.

Prospective track record

A sequence of predictions published or irreversibly recorded before the events they predict, later scored against independently verified outcomes.

Data leakage

Using information in a forecast that would not have been available when the forecast was made. Leakage can make backtests look far better than genuine live performance.

Closing line value (CLV)

The difference between a recorded earlier market price and a market's later closing price, measured with a defined convention. CLV alone does not prove realized profitability.

Expected value (EV)

A weighted average of possible outcomes under assumed probabilities and payoffs. It is only as reliable as the probability, price and cost assumptions used.

Model disagreement

A difference between forecasts for the same event. It can expose uncertainty or competing assumptions; disagreement alone is not a validated signal.

Probability calibration and Brier score

Calibration compares predicted frequencies with observed outcomes. Learn the arithmetic and limitations in our Brier score and calibration guide.

Definitions are educational. The presence of a metric does not mean Cateo publishes live measurements or a verified prediction track record for that metric.

How Cateo approaches model research