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Fixture360 only lists fixtures from a curated set of leagues, chosen specifically to keep our prediction model accurate.

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Chelsea cruise to a comfortable 1-3 victory over Wolves.

📝 Match Report

How It Unfolded

Chelsea beat Wolves 1-3 at Molineux Stadium, Regular Season - 25, in the Premier League. That is the final score; the rest of this report grades it against what the data forecast beforehand.

The Model vs The Result

The Poisson model went into this projecting Wolves 0.83 xG and Chelsea 1.77 xG, a combined 2.60. The scoreboard read 1-3 for 4 actual goals. Chelsea outscored their 1.77 projection by 1.2. Those figures were built on strength ratings of Wolves attack 0.64 / defence 1.22 against Chelsea attack 1.16 / defence 0.86, drawn from 62/62 games (CurrentSeason).

On the result, the model split it Wolves 15% | Draw 28% | Chelsea 57%, with Chelsea to win its most likely call at 57%. The scoreboard confirmed the model's leading pick.

Goals & Markets

The model rated Over 2.5 goals at 48%. The game delivered 4, so it went over — a miss for the goals model. Over 1.5 had been 76% and landed. Over 3.5 was 26% and came in. On both teams to score, the model sat at 50% and the match saw both sides score — another call in the model's favour. Historically the two sides average 57% Over 2.5 across their same-competition games (Wolves 56%, Chelsea 58%), a base rate that agreed with today's over. Their combined BTTS history runs at 56%, which matched the both-scored outcome.

Trading Patterns vs Reality

Wolves's trading profile (62 games, 31 home) set some clear expectations: BTTS lands in 53% of their matches — today it did.

Chelsea's trading profile (62 games, 31 away) set some clear expectations: BTTS lands in 60% of their matches — today it did; they keep a clean sheet 32% of the time, and conceded here.

Form vs Result

On form, Chelsea arrived the stronger side — 1.76 PPG against 0.81. The form guide was vindicated by the result. Wolves (home/away splits) shipped 3 against a 1.84 concession average — a leakier day than usual. Chelsea (home/away splits) scored 3 against a 1.65 average — above their attacking norm.

Verdict

Grading the result against the stored data, 2 of 4 pre-match signals came in: result (hit), Over 2.5 (miss), BTTS (miss), form (hit). A mixed scorecard — the data caught the broad shape of the game but not every market.

💡 Key Insights