7/08/2026

My Model Now Says Argentina by a Mile. My Eyes Say France and England.

The Round of 16 is done, the field is down to eight, and the model has re-run the whole tournament on the wreckage. Two title contenders gone from the same half of the bracket. The frozen pre-tournament forecast still standing on five of the eight quarter-finalists. And a champion probability that just lurched in one direction hard enough to make me suspicious of it.

Here is where it lands, who the penalty spot just swallowed, and the one call where I still refuse to agree with my own code

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The state of the race

Conditioned on every result through the Round of 16, the title picture:

🇦🇷 Argentina 29.2% · 🇪🇸 Spain 21.4% · 🇫🇷 France 19.2% · 🏴󠁧󠁢󠁥󠁮󠁧󠁿 England 13.6% · 🇲🇦 Morocco 6.5%

The top four now hold 83% of the championship probability between them. The single most-likely final the model produces is still Spain vs Argentina. Read the top line carefully, because it moved for a reason that has nothing to do with Argentina playing well

Forecast Wc2026
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The setup, for anyone new here

The engine is an ensemble of two models: a Dixon-Coles goals model and a World Football Elo rating, blended at the scoreline level and run through 10,001 Monte Carlo simulations from here to the final. It does not get nervous. It does not have a favourite nephew. It does maths, and it occasionally embarrasses me by being right.

The part I am still proudest of

Anyone can look clever editing predictions after the goals go in. The honest test is the version you lock the night before the opener and never touch again.

That frozen forecast called five of the eight teams now in the quarter-finals, sight unseen: Argentina, Spain, France, England, Belgium. The three it missed are exactly the tournament’s fairytales: Morocco, Norway and Switzerland. A model built on 49,390 historical matches was never going to price a fairytale. That is not a bug. That is the fairytale doing its job.

For the record, the frozen forecast also nailed 12 group winners out of 12 before a ball was kicked. I will be mentioning this at dinner parties until roughly 2030.

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The fallen

The Round of 16 sent two genuine contenders to the airport, and it took them from the same corner of the bracket.

🇧🇷 Brazil, whom the model gave a 10.3% title shot at the last update, walked into Norway and lost 1-2. 🇨🇴 Colombia, a 5.8% side going in, went out to Switzerland on penalties.

The penalty spot remains the place forecasts go to be humbled. A shootout is a coin flip in expensive boots, and no model that respects the data pretends otherwise. This time it did not just take two contenders. It gutted an entire half of the draw, which is the single most important fact in this update.

What moved since Version 7

Compared with the forecast I last published at the end of the Round of 32, the knockouts did what good information should do. They sharpened the picture, and in one case rewrote a team’s odds without that team doing anything at all.

🇦🇷 Argentina leapt from 21.8% to 29.2%, a +7.4 jump. It did not surge because Argentina played well. It needed a nervy 3-2 over Egypt just to get here. It surged because the two teams that could have stopped it, Brazil and Colombia, both went home on the other side of the bracket. The model is not pricing Argentina’s football. It is pricing Argentina’s suddenly empty path.

🏴󠁧󠁢󠁥󠁮󠁧󠁿 England is the quiet mover of the round, up +6.6 from 7.0% to 13.6% and climbing. 🇪🇸 Spain also jumped hard, +5.8 from 15.6% to 21.4%, and now sits clear in second. 🇫🇷 France barely budged, +0.8 from 18.4% to 19.2%, because unlike Argentina it is stuck in the hard half with Spain, Morocco and Belgium. Your odds are hostage to the draw as much as to your own form. Easy bracket and best team are graded on very different rubrics, and the bracket is the rubric that pays out.

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Where I overrule the machine

Here is the honest part, and it has shifted since the last edition, so returning readers deserve me saying so plainly.

Last time I overruled the model in favour of France, alone. I still believe in France. But watching this round, I now think there are two teams operating on a different frequency, not one. France and England, both. Sharper, deeper, meaner from front to back, peaking at exactly the right moment. To my eye that is your final. France vs England. Book it.

And Argentina? The model’s 29% darling looks, to me, the shakiest favourite of the lot. A 3-2 wobble past Egypt is not the swagger of a 29% team. It is a side being carried by a collapsing draw. The model rewards the path. I am watching the performances, and the performances are flashing yellow.

One of us is going to look very silly when this is over, and I am suspiciously comfortable betting against the algorithm’s pet. A forecast you only ever nod along with is not worth much. The value is in the disagreement, and in being honest about which side of it you are standing on.

Under the hood

For the curious: the two models are blended at the scoreline level and the remaining tournament is simulated 10,001 times, conditioned on every actual result so far. The same two acts of rigour from the last edition still hold. FIFA’s 2026 tiebreaker puts head-to-head above overall goal difference, a break from every previous World Cup, and it is coded properly rather than approximated. The knockout third-place allocation follows FIFA’s official deterministic table. A forecast is only as trustworthy as the plumbing beneath it.

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What is next

The quarter-finals are loading. The bracket is fixed, no redraws. The model gets re-run after every round, and I will keep publishing where it lands, and where, like now, I quietly disagree with it.

Model says Argentina. My eyes say France and England. We are about to find out who was right.

The Champion Predictor is a quantitative model built for research and curiosity, not betting advice. For round-by-round updates through the knockouts, subscribe. The next one lands after the quarter-finals.



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