Glossary

A plain-statistics dictionary.

Every term we use across market hubs, match pages and projections — defined the way we use it, without jargon and without spin.

Core terms

Projection
A modelled estimate of a statistical total for a single match — e.g. projected throw-ins, projected corners. A projection is a number with uncertainty attached, not a prediction of a single outcome.
Probability
The model's estimated chance, expressed as a percentage, that a statistical threshold will be reached. A 62% probability means roughly 62 such matches in every 100 would clear that threshold if the model is well calibrated.
Confidence rating
Our High / Medium / Low label on every projection. It reflects historical reliability of the market, agreement between the 2018 and 2022 sub-samples, and how many contextual filters fired.
Expected total
The model's central estimate of a market total (for example, expected total throw-ins in a match). The number you would expect on average across many repetitions of the same matchup.
Statistical threshold (over / under)
A line drawn through the expected total — for example, Over 33.5 throw-ins. "Over" means the model estimates the total will land above that line; "under" means below. We publish thresholds as statistical reference points, not as recommendations.
Over 33.5 throw-ins
A working example of a statistical threshold: the model's probability that combined throw-ins in a match clear 33.5. We use throw-ins because the historical sample is unusually consistent between 2018 and 2022.
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Model & reliability

Correlation
The degree to which two statistics move together. Corners and shots on target are positively correlated in our sample; throw-ins and goals are largely independent.
Independent vs correlated combinations
When two markets are independent, combined probability is roughly the product of each. When they are correlated, multiplying them overstates or understates the true joint probability. Our combined-probability calculator flags this explicitly.
Poisson (to-score)
A discrete probability distribution we use to translate an expected goals figure into a probability that a given team scores at least one. Useful for low-count events; less useful when the underlying rate shifts dramatically.
Reliability
How well a market's historical signal holds up across both calibration tournaments. High reliability means the 2018 and 2022 sub-samples agree closely. Throw-ins currently lead the reliability ranking.
Consistency
A related but distinct measure: how stable a market is from match to match within a tournament. A small consistency gap means the market does not swing wildly between fixtures.
Breakeven rate
A statistics concept that converts a price into the implied probability you would need to be right on, for the call to break even over many repetitions. We surface it as a reference point for understanding implied probability — not as a recommendation.
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A note on language

We use statistics vocabulary throughout — probability, projection, threshold, confidence. We deliberately avoid the language of wagering. The model is a tool for understanding a match, not a recommendation engine.

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MatchdaySync provides sports statistics and analytics for information only — not advice.