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SJK and Haka share the spoils in a 2-2 draw.

📝 Match Report

How It Unfolded

The points were shared at OmaSp Stadion, Regular Season - 4, as SJK and Haka drew 2-2 in the Veikkausliiga. 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 SJK 1.67 xG and Haka 1.26 xG, a combined 2.93. The scoreboard read 2-2 for 4 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 SJK attack 1.07 / defence 0.80 against Haka attack 0.99 / defence 0.99, drawn from 26/25 games (Blended).

On the result, the model split it SJK 47% | Draw 24% | Haka 29%, with SJK to win its most likely call at 47%. Instead the game produced a draw, an outcome the model had rated at just 24% — a clear break from expectation and a genuine upset by the numbers.

Goals & Markets

The model rated Over 2.5 goals at 56%. The game delivered 4, so it went over — a call the model got right. Over 1.5 had been 79% and landed. Over 3.5 was 34% and came in. On both teams to score, the model sat at 58% 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 (SJK 61%, Haka 60%), a base rate that agreed with today's over. Their combined BTTS history runs at 61%, which matched the both-scored outcome.

Trading Patterns vs Reality

SJK's trading profile (57 games, 27 home) set some clear expectations: BTTS lands in 60% of their matches — today it did.

Haka's trading profile (57 games, 27 away) set some clear expectations: BTTS lands in 63% of their matches — today it did.

Form vs Result

The form lines were close — SJK 1.53 PPG, Haka 1.32 PPG — offering no strong steer, and the draw fit that even billing. Haka (home/away splits) scored 2 against a 1.11 average — above their attacking norm.

Verdict

Grading the result against the stored data, 2 of 3 pre-match signals came in: result (miss), Over 2.5 (hit), BTTS (hit). The model got the gist right while missing on the margins.

💡 Key Insights