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Prediction vindicated as Haka edge out AC Oulu 2-1.

📝 Match Report

How It Unfolded

Haka beat AC Oulu 2-1 at Tehtaan kenttä, Regular Season - 3, in the Veikkausliiga. 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 Haka 1.78 xG and AC Oulu 1.40 xG, a combined 3.18. The scoreboard read 2-1 for 3 actual goals. Both sides finished within a goal of their individual projections, so the scoreline sat close to the model's expected shape. Those figures were built on strength ratings of Haka attack 1.01 / defence 1.08 against AC Oulu attack 1.02 / defence 1.25, drawn from 24/24 games (Blended).

On the result, the model split it Haka 47% | Draw 23% | AC Oulu 30%, with Haka to win its most likely call at 47%. The result followed the model's preferred path, landing its top-rated outcome.

Goals & Markets

The model rated Over 2.5 goals at 62%. The game delivered 3, so it went over — in line with the projection. Over 1.5 had been 83% and landed. On both teams to score, the model sat at 63% and the match saw both sides score — another call in the model's favour. Historically the two sides average 60% Over 2.5 across their same-competition games (Haka 59%, AC Oulu 61%), a base rate that agreed with today's over. Their combined BTTS history runs at 63%, which matched the both-scored outcome.

Trading Patterns vs Reality

Haka's trading profile (56 games, 28 home) set some clear expectations: BTTS lands in 62% of their matches — today it did.

AC Oulu's trading profile (56 games, 28 away) set some clear expectations: BTTS lands in 64% of their matches — today it did.

Form vs Result

The form lines were close — Haka 1.32 PPG, AC Oulu 1.20 PPG — offering no strong steer, and the Haka win broke the near-deadlock.

Verdict

Grading the result against the stored data, 3 of 3 pre-match signals came in: result (hit), Over 2.5 (hit), BTTS (hit). A strong night for the model: the result sat comfortably inside what the pre-match data projected.

💡 Key Insights