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Poisson model rates Hammarby FF at 44%, yet other data sources diverge — this Hammarby FF vs Mjallby AIF fixture contains genuine analytical tension.

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Match Analysis

Hammarby FF host Mjallby AIF at 3Arena in Allsvenskan, Regular Season - 18. Kick-off is scheduled for Thursday 22 May 2025 at 18:00 UTC.

Form Analysis

Looking at all fixtures this season, Hammarby FF stand at 5W 3D 2L from 10 Allsvenskan matches — 1.80 PPG. Last five: W W W D L. They are averaging 1.20 goals per game and conceding 0.50 — a modest attacking output that tempers optimism on the Over 2.5 market. Defensively, conceding just 0.50 per game is an exceptional defensive record — one of the tightest in the division. 6 clean sheets from 10 games (60%) is a standout defensive return — they are keeping their net clean in more than half their matches. Both teams have scored in only 20% of their games — a low BTTS rate that suggests clean sheets are a regular occurrence.

Hammarby FF at 3Arena this season: 5W 4D 1L from 10 home games — 1.90 PPG on home soil. At home they are averaging 1.70 goals scored and 0.70 conceded per game. 6 clean sheets from 10 home games (60%) — they are an exceptionally hard side to score against at 3Arena. At home, both teams have scored in only 30% of games — reinforcing BTTS No as the home-venue-backed angle.

Mjallby AIF — All Games: 4W 5D 1L from 10 Allsvenskan fixtures this season — 1.70 PPG. Last five: W W D D W. Their scoring rate of 1.30 per game is modest, conceding 0.80 — not a side to back heavily on the Over 2.5 from their form alone. Defensively, 0.80 goals conceded per game is elite-level — a side this difficult to score against is a real threat to Over 2.5 and BTTS Yes. 3 clean sheets from 10 outings suggests some defensive organisation. Both teams have scored in 60% of their games — a noteworthy BTTS rate that supports the Yes market.

Mjallby AIF away from home this season: 3W 3D 4L from 10 away games — 1.20 PPG on the road. Away from home they average 1.00 goals scored and 1.30 conceded per game. Their away PPG of 1.20 is notably below their overall 1.70 — form away from home has been a clear weakness this season.

The form figures are too closely matched to derive a directional pick: Hammarby FF 1.80 PPG, Mjallby AIF 1.70 PPG. Look to other data sets to build the analysis.

H2H

The H2H landscape is flat: 8 previous encounters have yielded 4 wins for Hammarby FF, 3 for Mjallby AIF and 1 draws. A neutral reading in isolation.

The 8 previous meetings have averaged 2.5 goals per game — a neutral rate that provides no strong lean on the goals market from the H2H alone. The most recent clash, on 18 Apr 2025, ended 1–3 with Mjallby AIF winning.

The head-to-head offers no strong directional steer in either the result or goals markets. Form, the predictive model and current market pricing should carry more weight than the historical record for this fixture.

Trading Patterns

Hammarby FF in-play and half-time data (60 games, 30 at home): they score before half-time in 67% of fixtures in home games; when goalless at HT, a second-half goal follows 67% of the time; BTTS occurs in 60% of their matches (home games); Over 2.5 goals lands in 63% of games (home games); they fail to score in 30% of games.

Mjallby AIF in-play and half-time data (60 games, 30 at away): they score before half-time in 63% of fixtures in away games; when goalless at HT, a second-half goal follows 85% of the time; two or more arrive in the second half on 55% of those occasions; BTTS occurs in 40% of their matches (away games); Over 2.5 goals lands in 43% of games (away games).

BTTS rates are mixed from the trading data — Hammarby FF 45% versus Mjallby AIF 50%; no strong lean in either direction. The over/under 2.5 picture is inconclusive from the in-play data (Hammarby FF 53% | Mjallby AIF 48%).

Poisson Model

The Poisson distribution model projects Hammarby FF 1.60 xG and Mjallby AIF 1.32 xG. These expected goals figures are the primary input: they feed a goal-probability matrix across all scoreline combinations to derive the result and market probabilities below. Underlying strength ratings: Hammarby FF attack 1.304 / defence 0.724 | Mjallby AIF attack 1.345 / defence 0.874. League average goals — home 1.402 / away 1.355. Hammarby FF carry an above-average attack strength of 1.304 — their λ of 1.60 reflects genuine attacking quality above the league norm. Mjallby AIF have an above-average attack strength of 1.345 — the away xG of 1.32 is driven by genuine attacking quality on the road. Hammarby FF's defence rating of 0.724 is below average — the home backline is amplifying the visitor's projected output. Data: 40 Hammarby FF games / 40 Mjallby AIF games used (CurrentSeason).

Result probabilities: Hammarby FF 44% | Draw 24% | Mjallby AIF 32%. Fair-value odds: Hammarby FF 2.27 | Draw 4.17 | Mjallby AIF 3.12. This is a low-confidence result — no outcome exceeds 45%. The draw at 24% is a primary outcome, not an afterthought.

Goals markets: Over 2.5 probability 56% | BTTS probability 58% | Total xG 2.92. Over 2.5 holds a meaningful probability edge at 56% — the 2.92 total xG provides moderate support, though the model is not projecting a high-scoring game. BTTS probability of 58% is moderate — neither team is projected to score with enough certainty to make Yes a clear standalone call.

Analysis Verdict

On the Poisson output, Hammarby FF are the pick at 44% — marginal model lean. With a 24% draw probability, Draw No Bet on Hammarby FF offers a more defensible entry point than the straight win. The opposing side holds a 32% win probability per the model — this is not a banker and should be staked accordingly.

Poisson projects 2.92 total expected goals, pointing to Over 2.5 at 56% probability — Poisson-only — limited corroboration conviction.

The Poisson model's BTTS call is Yes at 58%. This conflicts with form data: Hammarby FF 30% | Mjallby AIF 50% from recent games — a notable divergence.

The outsider holds a 32% win probability per the model — this is not a banker and should not be treated as one. Proportionate stakes are appropriate given the genuine contest the data projects.

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