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Shock result as Vasteras SK FK defy the odds to beat Falkenbergs FF 1-0.

📝 Match Report

How It Unfolded

Vasteras SK FK beat Falkenbergs FF 1-0 at Hitachi Energy Arena, Regular Season - 3, in the Superettan. 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 Vasteras SK FK 1.01 xG and Falkenbergs FF 1.33 xG, a combined 2.34. The scoreboard read 1-0 for 1 actual goal. Falkenbergs FF landed 1.3 under their projected return. Those figures were built on strength ratings of Vasteras SK FK attack 0.86 / defence 1.09 against Falkenbergs FF attack 0.99 / defence 0.97, drawn from 2/2 games (Blended).

On the result, the model split it Vasteras SK FK 28% | Draw 29% | Falkenbergs FF 43%, with Falkenbergs FF to win its most likely call at 43%. The actual Vasteras SK FK win had been the model's second-ranked read at 28%, so the result diverged from the top call without being a shock.

Goals & Markets

The model rated Over 2.5 goals at 41%. The game delivered 1, so it stayed under — the model's lean was correct. Over 1.5 had been 68% and missed. On both teams to score, the model sat at 47% and the match did not — another call in the model's favour. Historically the two sides average 50% Over 2.5 across their same-competition games (Vasteras SK FK 0%, Falkenbergs FF 100%), a base rate that pointed the other way from today's under. Their combined BTTS history runs at 25%, which matched the one-sided outcome.

Form vs Result

On form, Falkenbergs FF arrived the stronger side — 0.50 PPG against 0.00. Form was overturned, with Vasteras SK FK winning despite arriving in poorer recent shape. Vasteras SK FK scored 1 against a 0.00 average — above their attacking norm and conceded 0 against a 1.50 average — tighter than their form line. Falkenbergs FF managed 0 against a 1.00 scoring average — below par going forward and conceded 1 against a 2.50 average — tighter than their form line.

Verdict

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

💡 Key Insights