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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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Shock result as Aston Villa defy the odds to beat Tottenham 1-2.

📝 Match Report

How It Unfolded

Aston Villa beat Tottenham 1-2 at Tottenham Hotspur Stadium, Regular Season - 8, in the Premier League. The remainder of the report sets that outcome against the pre-match model, the markets and the teams' data profiles.

The Model vs The Result

The Poisson model went into this projecting Tottenham 1.03 xG and Aston Villa 0.97 xG, a combined 2.00. The scoreboard read 1-2 for 3 actual goals. Aston Villa outscored their 0.97 projection by 1.0. Those figures were built on strength ratings of Tottenham attack 0.89 / defence 1.00 against Aston Villa attack 0.84 / defence 0.79, drawn from 45/45 games (CurrentSeason).

On the result, the model split it Tottenham 35% | Draw 32% | Aston Villa 32%, with Tottenham to win its most likely call at 35%. The actual Aston Villa win had been the model's second-ranked read at 32%, so the result diverged from the top call without being a shock.

Goals & Markets

The model rated Over 2.5 goals at 32%. The game delivered 3, so it went over — against the model's lean. Over 1.5 had been 60% and landed. On both teams to score, the model sat at 41% and the match saw both sides score — a miss on BTTS. Historically the two sides average 61% Over 2.5 across their same-competition games (Tottenham 62%, Aston Villa 60%), a base rate that agreed with today's over. Their combined BTTS history runs at 58%, which matched the both-scored outcome.

Trading Patterns vs Reality

Tottenham's trading profile (45 games, 22 home) set some clear expectations: BTTS lands in 58% of their matches — today it did.

Aston Villa's trading profile (45 games, 22 away) set some clear expectations: BTTS lands in 58% of their matches — today it did.

Form vs Result

On form, Aston Villa arrived the stronger side — 1.67 PPG against 1.16. Form held, and they took the win. Aston Villa (home/away splits) scored 2 against a 1.14 average — above their attacking norm.

Verdict

Grading the result against the stored data, 1 of 4 pre-match signals came in: result (miss), Over 2.5 (miss), BTTS (miss), form (hit). This one broke away from the data — most of the pre-match signals were overturned by how the ninety minutes actually played out.

💡 Key Insights