Myth: the numbers never lie. Reality: the numbers answer only the question they were built for. Statistics in soccer are no exception.
Three common myths
The first myth is that a winning team must have dominated the data. In truth, narrow wins often rest on a few good chances and a good goalkeeper. The second is that a streak means form. Streaks of three or four matches are within the normal range of luck.
The third myth: a bigger number is a better number
More passes, more shots, more kilometres covered: none of these is automatically good. Covering more distance may simply mean chasing the ball. The value lies in what the effort achieved.
The Slotrave Canada platform serves as an example of a layout that keeps these questions visible. Look for sample sizes, definitions and the match situation.
Names and labels can mislead as well. A player listed as a midfielder may spend most of the match as a wide defender, and the data follows the label, not the role. Checking heat maps or lineups before comparing positions saves many wrong conclusions.
A fourth myth is worth adding to the list: that a model’s output is an answer. An expected goals total or a power rating is an estimate built from past patterns, and the single displayed number hides its uncertainty. Better providers publish ranges or explain how the figure is built. When they do not, treat the number as an opinion with arithmetic behind it, useful as a starting point and unsafe as a conclusion.
If betting markets are involved, a myth can feel more convincing because money sharpens attention. Set a budget and a time limit in advance, and treat confident-sounding claims with healthy skepticism.
Good data literacy is less about knowing more numbers and more about asking better questions of the ones we have.