Middlesbrough 1-0 Wolves
Model accuracy
Retrospective model estimate · generated after the match, not in the track recordThere was no estimate locked before kick-off for this match. The model was run after the match using only data known before kick-off (the result was not used); it is not counted in the track record or accuracy stats.
The 3 clearest pre-match estimates and how they turned out. How are these chosen?
Statistical model estimate; for information and entertainment only.
Match stats
Standouts: C. Brittain 7.5 · Neto Borges 7.3 · T. Conway 7.3
Match analysis
5 sections02:06Middlesbrough beat Wolves 1-0 in the Championship matchday 9 on 10 October 2026.
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Result and story of the match
It was 0-0 at half-time. The decisive goals came after the interval. Middlesbrough scored first, in the 57th minute.
Goals and key moments
Goals: 57' W. Lankshear, assisted by T. Conway → 1-0.
Yellow cards: Middlesbrough 3, Wolves 3.
Statistical comparison
Expected goals (xG) Middlesbrough 0.90, Wolves 0.68; shots 14-12 (6-2 on target); possession 52%-48%; corners 4-6; pass accuracy 87%-84%.
Goals by half: 0-0 in the first, 1-0 in the second.
Standout players
C. Brittain was Middlesbrough's highest-rated player at 7.5 in 90 minutes: 2 key passes, 4 tackles, won 6 of 11 duels.
K. Trippier was Wolves's highest-rated player at 7.2 in 90 minutes: 2 key passes, 4 tackles, won 4 of 7 duels.
How the model did
There was no model estimate locked before kick-off for this match, so it is not part of the track record.
Retrospective model estimate (generated after the match from pre-match data only; not part of the track record): Middlesbrough 31%, draw 25%, Wolves 44%.
Statistical model estimate; for information and entertainment only.
Match summary
Middlesbrough vs Wolves (Championship matchday 9, 10 October 2026) finished 1-0. Goals: W. Lankshear 57'. Match stats: possession Middlesbrough 52%, Wolves 48%; shots on target 6-2; expected goals (xG) 0.90-0.68.
Updated: · Sources: Methodology, Track record
Points are only for rankings and badges; they have no other value.The model's score is now the “predicted score”: a pick that agrees with the match outcome and follows the real score distribution over a season (previously the single most likely score). Past points are unchanged.