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Wolves cruise to a comfortable 2-0 victory over Aston Villa.
📝 Match Report
How It Unfolded
Wolves beat Aston Villa 2-0 at Molineux Stadium, Regular Season - 24, in the Premier League. With the result on the board, the sections below measure it against everything the model and the numbers projected in advance.
The Model vs The Result
The Poisson model went into this projecting Wolves 1.46 xG and Aston Villa 1.53 xG, a combined 2.98. The scoreboard read 2-0 for 2 actual goals. Aston Villa landed 1.5 under their projected return. Those figures were built on strength ratings of Wolves attack 0.86 / defence 1.12 against Aston Villa attack 0.88 / defence 1.13, drawn from 61/61 games (CurrentSeason).
On the result, the model split it Wolves 35% | Draw 27% | Aston Villa 38%, with Aston Villa to win its most likely call at 38%. The actual Wolves win had been the model's second-ranked read at 35%, so the result diverged from the top call without being a shock.
Goals & Markets
The model rated Over 2.5 goals at 57%. The game delivered 2, so it stayed under — the opposite of the projected direction. Over 1.5 had been 81% and landed. On both teams to score, the model sat at 61% and the match did not — a miss on BTTS. Historically the two sides average 70% Over 2.5 across their same-competition games (Wolves 69%, Aston Villa 70%), a base rate that pointed the other way from today's under. Their combined BTTS history runs at 66%, which did not match the one-sided outcome.
Trading Patterns vs Reality
Wolves's trading profile (61 games, 30 home) set some clear expectations: BTTS lands in 66% of their matches — today it did not.
Aston Villa's trading profile (61 games, 30 away) set some clear expectations: BTTS lands in 67% of their matches — today it did not.
Form vs Result
On form, Aston Villa arrived the stronger side — 1.72 PPG against 1.02. Form was overturned, with Wolves winning despite arriving in poorer recent shape. Wolves (home/away splits) conceded 0 against a 1.80 average — tighter than their form line. Aston Villa (home/away splits) managed 0 against a 1.40 scoring average — below par going forward.
Verdict
Grading the result against the stored data, 0 of 4 pre-match signals came in: result (miss), Over 2.5 (miss), BTTS (miss), form (miss). The data was on the wrong side of this result more often than not — a reminder that a single match sits well inside the model's variance.
💡 Key Insights
⚠️ This match report is generated algorithmically from the final score, our prediction model, and each team's historical form and trading data. Analysis is for informational purposes only.