Football Value Analysis Today

What Is Football Value Analysis?

Value analysis in football predictions means identifying selections where the true statistical probability of an outcome is higher than the probability implied by current market pricing. This is a comparison between two independent estimates of the same event: ours and the market's. Where they disagree meaningfully, the fixture is worth a closer look. A disagreement is not evidence that the model is correct - sometimes the market has information the model does not.

Here is a concrete example. Suppose the ScorePredicts model calculates that a home team has a 58% probability of winning their match. The market price for that team implies a probability of approximately 45%. The gap between 58% (model) and 45% (market) is 13 percentage points. Over a large number of selections, a consistently measurable gap suggests the model is reading something the market is not - though it can equally mean the market is reading something the model is not.

Crucially, a wide gap tells you nothing about what will happen in that specific match. The model assigning 58% probability means the outcome fails to land 42% of the time. Value analysis describes the aggregate behaviour of many selections, not individual outcomes. Short-term variance is unavoidable, and any pattern only becomes statistically visible over hundreds of selections.

How the Value Score Is Calculated

Every pick in the value analysis section carries a value score - the primary ranking metric on this page. It is calculated using three components: the probability gap, market reliability and adjusted confidence.

The gap is the raw difference between the model's calibrated probability and the consensus fair probability. Consensus fair probability is derived from normalising multiple market prices - adjusting for each source's built-in margin and calculating what the underlying true probability should be across several independent pricing sources. Using a consensus fair price rather than a single source removes the risk of reading a false gap caused by one provider's mispricing or model error.

Market reliability weights the score by how consistent and liquid the market is for that selection type. The 1X2 market is the most liquid and reliable; prices from multiple independent sources are tightly clustered and reflect genuine market information. The corners and cards markets are less liquid - prices can vary more between sources and sharp early moves carry more weight. The model adjusts the value score accordingly so that a +6 point gap in a liquid market is rated differently from the same gap in a thin market.

Adjusted confidence applies a multiplier based on data quality, competition tier and fixture importance. A wide-gap pick in a well-documented top-flight league with five seasons of reliable data is treated differently from a wide-gap pick in a lower-division league with limited historical data.

Gap Levels and How to Read Them

Picks are categorised into three gap levels. Strong picks carry a gap of +8 percentage points or higher - the model's probability exceeds the market's by a significant margin and adjusted confidence is high. These are the highest-priority selections of the day.

Value picks fall between +4 and +8 percentage points - still a meaningful gap, but a smaller margin than strong picks. These appear more frequently because the threshold is lower.

Picks with a gap below +4 percentage points are filtered out entirely and do not appear in the value analysis section. The rationale is that below +4, the gap is too small relative to normal variance and model calibration uncertainty to be meaningful.

Consensus Fair Pricing - Why It Matters

A single pricing source includes that source's built-in margin and any systematic errors in its own model. If you compare a model's probability against just one price, you may read a gap that simply reflects that source's individual error rather than a genuine divergence from the market as a whole.

ScorePredicts uses consensus fair probability - the median normalised probability across multiple tracked pricing sources after removing outliers. This approach is more robust because it represents the collective market view rather than one participant's opinion. Every value analysis pick shows the number of sources used in the consensus calculation alongside the gap figure. A pick supported by consensus from eight independent sources carries more confidence than one derived from two or three.

Confidence Tiers Explained

Each value analysis pick is sorted into a confidence tier - Strong or Value - based on the size of its gap and how much adjusted confidence the model assigns to it. Strong picks combine a wide probability gap with high data quality and a well-documented competition; Value picks still clear the statistical threshold but with a narrower margin or less certain inputs. The tier gives you an instant read on how much weight a pick carries before you look at the underlying numbers.

Tier assignment scales with the gap and adjusted confidence together, not the gap alone - a pick with a wide probability gap but limited historical data may still land in the Value tier rather than Strong, while a smaller gap backed by five seasons of consistent top-flight data can qualify as Strong. Two picks with an identical gap can therefore sit in different tiers, because the tier reflects how trustworthy the underlying data is, not just the size of the number.

Cross-Market Coverage

Value analysis picks are identified across every market on ScorePredicts - 1X2, double chance, BTTS, goals over/under, total corners and total cards. This cross-market approach surfaces divergence wherever it exists rather than being restricted to a single market type. Prices move continuously throughout the day as new information arrives, so a gap can appear or disappear as the market adjusts. Checking the value analysis section closer to kick-off typically surfaces more accurate picks as the model incorporates the latest pricing data. All value analysis is available with a ScorePredicts subscription.