Michael Olise and the late surge gave League A - 4 its clearest lesson

The round was kinder to Fipster than the raw miss count suggests, but only just. Four of the six graded calls landed, and the pattern was plain enough: when the model trusted a strong home edge or a narrow away win, it usually found the right side of the result; when it leaned too hard on named scorers, it could be miles off. That is how you end up with a respectable return and still feel slightly chastened by it. Football has a way of keeping the receipts tidy.

The one read that held its nerve

Portugal against Norway was the cleanest hit. The model called a home win, expected Gonçalo Ramos to matter, and got both parts in the right neighbourhood. Gonçalo Ramos scored Portugal’s winner after João Félix had been part of the move that finished it off, which is exactly why this call worked: it was not built on blind faith in Portugal’s badge, but on a specific attacking route through players already carrying recent scoring form. The scoreline was tighter than forecast, but the logic survived intact. That matters more than cosmetic precision.

Where we overcooked the scorer list

France against Belgium was the ugly one. Fipster saw a draw and even fancied a low-scoring night, but France turned it into a late rout and did so with names that were not on the card. Michael Olise was called pre-match and duly delivered twice, so that part aged well enough; what broke the prediction was everything around him. Désiré Doué and Mathis Cherki arrived from nowhere in model terms and changed the whole tone of the game. The mistake was not simply missing goals. It was over-weighting caution in a match where France’s bench strength ended up doing rather more than Belgium’s resistance.

The names that actually owned League A - 4

Michael Olise was the round’s headline performer because he did two jobs at once: he was one of Fipster’s pre-match calls, and he then outgrew that call by scoring twice for France. That is the best sort of vindication for a model — not just being right about a player existing as a threat, but being right about how much damage he could do. Gonçalo Ramos also deserves his mention for turning Portugal’s forecast into something usable rather than theoretical. Rasmus Winther Højlund did similar work for Denmark, with his penalty settling Wales after Fipster had backed him as one of Denmark’s main routes to goal.

There were also some useful reminders about what counts as a good call even when it does not look glamorous. Dodi Lukebakio Ngandoli scored for Belgium despite France eventually running away with it, which at least meant Fipster had identified one Belgian threat correctly before everything else fell apart. By contrast, several named scorers who looked sensible on paper never got near it: Dimitrios Kourbelis, Christos Tzolis, Felix Nmecha, Mikkel Krogh Damsgaard and others all stayed quiet while different players took over their matches instead. That is usually where these rounds are won or lost — not in broad team strength alone, but in whether you have picked the right person to carry it.

What comes next is simpler than it looks

+ keep trusting structure over noise. The model got enough right here to show its reading of match direction still has value, but League A - 4 also showed how quickly a tidy forecast can be undone by an unexpected scorer or an attack arriving later than expected. Next round should ask for less certainty about individual finishers and more patience with how games actually open up. That would save everyone a bit of embarrassment, which is always welcome.