Tables, Probability And Expected Goals: How To Read Them

When a key player is missing, the figures from before the absence may no longer describe the team. A season average can combine very different versions of a team. It is worth asking which version of the team a number refers to.

The problem of mixed samples

If a star player misses ten of thirty games, the average over thirty games describes neither the team with him nor the team without him. Splitting the sample into games with and without the player gives two clearer pictures, though each is smaller. The same warning about few games applies to both halves.

Even then, the other factors change in the same period. Fixtures, opponents and form do not stand still while a player is absent. Attribution is therefore difficult, and honest analysts say so.

The effect of an absence depends on the role and on the replacement. A creative midfielder who is replaced by a similar player may leave little trace, while a goalkeeper who is replaced by an inexperienced one can alter many numbers. Teams with a strong bench lose less.

Among services that show team news alongside figures, the Vave Casino website is a useful example. Lineup and results in one view make it easy to link a change to its cause.

It is worth running a small thought experiment. Imagine a side whose chances were worth about two goals in a match but which scored only one, and ask how often that happens. Such gaps are completely normal in a single game, and they shrink only over many matches.

Report quality matters too. Early reports are often wrong or incomplete, so a short delay is sensible. If betting markets are of interest, last-minute lineup changes are a good reason to avoid hurried decisions and to keep to a budget and a time limit set beforehand.

Absences are context that explains results. They describe the present situation while the outcome stays open.