🎯

Fixture360 only lists fixtures from a curated set of leagues, chosen specifically to keep our prediction model accurate.

📋

Poisson model rates Mjallby AIF at 43%, yet other data sources diverge — this Mjallby AIF vs Gais fixture contains genuine analytical tension.

✍️ Match Preview

Analysis

Gais make the trip to Strandvallen to face Mjallby AIF in Allsvenskan, Regular Season - 2. The match kicks off on Sunday 6 April 2025 at 15:30 UTC.

Form

Mjallby AIF (all games): 4W 5D 1L across 10 Allsvenskan fixtures this term — 1.70 PPG. Last five: W W D D W. They are averaging 1.30 goals per game and conceding 0.80 — a modest attacking output that tempers optimism on the Over 2.5 market. Defensively, conceding just 0.80 per game is an exceptional defensive record — one of the tightest in the division. 3 clean sheets from 10 outings provides some defensive foundation. Both teams have scored in 60% of their games — a high BTTS rate that carries real weight in the goals markets.

Mjallby AIF's home record at Strandvallen: 6W 3D 1L from 10 Allsvenskan appearances (2.10 PPG). At home they are averaging 1.70 goals scored and 1.20 conceded per game. Both teams have scored in 90% of their home games — an outstanding BTTS rate that is a key data point for this fixture.

Gais have collected 1.60 PPG across 10 Allsvenskan outings this season: 4W 4D 2L. Last five: L D D W W. Their scoring rate of 1.20 per game is modest, conceding 1.00 — not a side to back heavily on the Over 2.5 from their form alone. 3 clean sheets from 10 outings suggests some defensive organisation.

Gais's away record: 3W 2D 5L from 10 road trips in Allsvenskan this season (1.10 PPG). Away from home they average 0.90 goals scored and 1.70 conceded per game. Their away PPG of 1.10 is notably below their overall 1.60 — form away from home has been a clear weakness this season.

Both sides are running at similar form levels — 1.70 PPG for Mjallby AIF against 1.60 for Gais. There is no clear form edge to exploit here; other signals need to take the lead.

Head-to-Head

Neither side has dominated this fixture. The last 2 head-to-head meetings have produced 0 wins for Mjallby AIF, 1 for Gais and 1 draws — an even split that leaves the H2H largely neutral as a betting input.

The 2 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 26 Oct 2024, ended 1–1 with a draw.

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

Mjallby AIF half-time and goal-timing data (60 games, 30 at home): they score before half-time in 70% of fixtures in home 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 60% of their matches (home games); Over 2.5 goals lands in 53% of games (home games).

Gais half-time and goal-timing data (60 games, 30 at away): they score before half-time in 70% of fixtures in away games; when goalless at HT, a second-half goal follows 59% of the time; BTTS occurs in 47% of their matches (away games); Over 2.5 goals lands in 57% of games (away games); they fail to score in 32% of games.

BTTS rates are mixed from the trading data — Mjallby AIF 50% versus Gais 43%; no strong lean in either direction. The over/under 2.5 picture is inconclusive from the in-play data (Mjallby AIF 48% | Gais 55%).

Poisson Model

The Poisson distribution model projects Mjallby AIF 1.47 xG and Gais 1.24 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: Mjallby AIF attack 1.029 / defence 0.959 | Gais attack 0.958 / defence 1.000. League average goals — home 1.429 / away 1.346. Data: 31 Mjallby AIF games / 31 Gais games used (Blended). A blend of current and prior-season data is applied to stabilise estimates early in the campaign.

Result probabilities: Mjallby AIF 43% | Draw 26% | Gais 32%. Fair-value odds: Mjallby AIF 2.33 | Draw 3.85 | Gais 3.12. This is a low-confidence result — no outcome exceeds 45%. The draw at 26% is a primary outcome, not an afterthought.

Goals markets: Over 2.5 probability 51% | BTTS probability 55% | Total xG 2.71. Over/Under 2.5 is close to a coin-flip at 51%/49% — the total xG of 2.71 sits near the 2.5 margin; this is a low-edge market from a Poisson standpoint. BTTS probability of 55% is moderate — neither team is projected to score with enough certainty to make Yes a clear standalone call.

Verdict

The Poisson model's primary lean is Mjallby AIF at 43% — marginal model lean. Draw probability of 26% warrants consideration of Double Chance or Draw No Bet on Mjallby AIF if the outright odds are short. The opposing side holds a 32% win probability per the model — this is not a banker and should be staked accordingly.

Poisson projects 2.71 total expected goals, pointing to Over 2.5 at 51% probability — reasonable conviction, supported by form averaging 2.8 goals per game.

On the BTTS market, Poisson puts 55% on Yes. Form rates corroborate: Mjallby AIF 90% | Gais 50% BTTS from recent games.

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. The Poisson model is drawing on Blended data (31 games minimum) — early-season projections carry additional uncertainty. Weight the live form and odds signals accordingly.

🔮 Your Prediction

Sign in to submit your prediction and see how it compares to the rest of the community.

💡 Key Insights