How WinBall analyses a match

Last updated: November 9, 2026

Short answer: WinBall starts from the market's pre-match prices for a match, averaged across several bookmakers, and compares them with a measured archive of more than 200,000 past matches. Past matches with a similar pre-match picture are grouped together, and we count how they actually ended. The percentages in the app are those counted frequencies, not guesses.

This page explains each step in plain terms: where the numbers come from, what is added on top of them as context, what is deliberately left out, and where the limits are.

Step 1: the market's pre-match prices

Every analysis begins with the prices published before the match for two questions: the match result (home win, draw, away win) and over or under 2.5 goals. We do not rely on one bookmaker. The prices are averaged across several of them and taken a few days before kick-off.

Why start here? A pre-match price is a compact summary of how the market sees a match: the strength of the two sides, home advantage, and how open the game is expected to be. A single price can be slightly out of line with the rest; an average across several sources gives a steadier picture. If you want to see how a price turns into a percentage, our guide to reading football odds walks through the arithmetic.

Step 2: counting how similar matches really ended

The prices on their own are only a starting point. WinBall compares them with an archive of more than 200,000 past matches for which pre-match prices were recorded. Matches whose pre-match picture looked similar are grouped together, and then we simply count what happened in them:

how the match result went (home win, draw or away win);
how many goals were scored;
whether both teams scored;
what the half-time score was;
how many corners there were, in leagues where corner data exists.

Here is an invented example to show the idea. Suppose that, among past matches that looked like tonight's match before kick-off, about 58 in every 100 ended with three or more goals. The match card would then show a figure of around 58% for over 2.5 goals. That figure is not an opinion about tonight's teams; it is a count of what happened when the starting picture was similar.

This leads to the rule behind every match card: every number on a match card is counted from real past matches; if there is no measurement, the field stays empty. If a league has no reliable corner data, for example, you will not see a corner percentage for it rather than a filled-in estimate.

Step 3: form and head-to-head as context

Two kinds of recent information are added to the written analysis, so you can see the match in its current setting:

Team form: results from roughly the last 120 days. The home side's form is taken from its home matches and the visitors' form from their away matches, and at least four matches are required before form is mentioned at all.
Head-to-head trends: up to the last ten meetings between the two teams within the past six years, mentioned only when they show a clear pattern.

It is important to be clear about one point: form and head-to-head appear in the text as context. They do not change the percentage. The figure on the card is still the count from Step 2.

What the analysis deliberately leaves out

Some factors are outside what a WinBall analysis covers. We say this openly so that you know where to look yourself:

injuries, suspensions and confirmed line-ups;
weather and pitch conditions;
the referee;
league-table motivation, such as a title race or a relegation fight.

Any of these can matter a great deal in a particular match. A late injury to a key striker or a heavily rotated side will not be reflected in the figures, so it is always worth checking team news before kick-off.

Which markets the analyses cover

Market	What the analysis looks at
Match result (1X2)	How often similar matches ended in a home win, draw or away win
Over/under goals	How many goals similar matches produced
Both teams to score	How often both sides scored in similar matches
Corners	Corner counts, only in leagues where corner data exists
Half-time/full-time	Half-time scores as context for how matches developed

The limits, stated plainly

Football is a highly random sport: goals are rare, and one moment can decide everything. A measured frequency describes what tends to happen across many similar matches, not what will happen in this one. An outcome shown at 60% still fails to happen four times in every ten. That is not a flaw in the counting; it is what 60% means.

For that reason, a WinBall analysis is information, not advice. It can help you understand a match and ask better questions about it, and it should be read alongside your own judgement.

In short

WinBall takes averaged pre-match prices, finds past matches that looked similar, and counts how they ended. Those counts are the percentages you see. Form and head-to-head add context to the text without changing the figures, and injuries, weather, referees and table motivation are left for you to check. When something has not been measured, the field stays empty.

This page is for information only. WinBall is not a betting platform; it provides match analysis and predictions only. 18+

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