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Poisson model rates Landskrona BoIS at 34%, yet in-form Kalmar FF provide a compelling counter-argument — this Landskrona BoIS vs Kalmar FF fixture contains genuine analytical tension.

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Full Analysis

Landskrona Idrottsplats plays host to Landskrona BoIS versus Kalmar FF in Superettan, Regular Season - 24. Kick-off: Wednesday 24 September 2025 at 18:00 UTC.

Current Form

Landskrona BoIS's overall Superettan record this term: 3W 2D 5L from 10 games (1.10 PPG). Last five: W L W D L. They are averaging 0.80 goals per game and conceding 1.20 — a modest attacking output that tempers optimism on the Over 2.5 market. 3 clean sheets from 10 outings provides some defensive foundation. This season is still relatively young for Landskrona BoIS, so this record blends games from this season and last.

At home at Landskrona Idrottsplats, Landskrona BoIS have gone 5W 2D 3L this season (10 games, 1.70 PPG). At home they are averaging 1.40 goals scored and 1.30 conceded per game. BTTS has landed in 60% of their home matches — a rate that supports the Yes angle in this fixture. Their home PPG of 1.70 is noticeably stronger than their overall 1.10 — Landskrona BoIS are significantly better at Landskrona Idrottsplats than their overall form suggests.

Kalmar FF (all games): 6W 4D 0L across 10 Superettan outings this term — 2.20 points per game. Last five: W W D W W. They are scoring at 1.60 per game and conceding 0.50. Defensively, 0.50 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. 7 clean sheets from 10 games (70%) is an exceptional defensive record — they are keeping clean sheets more often than not. Both teams have scored in just 30% of their games, reflecting a regular tendency to keep or record clean sheets. This season is still relatively young for Kalmar FF, so this record blends games from this season and last.

Kalmar FF away from home this season: 3W 7D 0L from 10 away games — 1.60 PPG on the road. Away from home they average 1.40 goals scored and 0.70 conceded per game. 5 away clean sheets from 10 games (50%) — they are as difficult to score against on the road as they are at home. Their away PPG of 1.60 is notably below their overall 2.20 — form away from home has been a clear weakness this season.

Kalmar FF arrive in superior form — a 1.10 PPG advantage (2.20 vs 1.10) that offsets much of the home-ground benefit. The away side are the form pick, with draw protection the sensible way to manage the home-field uncertainty.

Head-to-Head

Form and model data should carry more weight here — the historical record is too balanced to provide a directional steer. From 1 meetings: Landskrona BoIS 0W, Kalmar FF 1W, 0D.

Attacking output has been a hallmark of this fixture. At 5.0 goals per game across 1 meetings, the Over 2.5 has a statistically grounded case from the head-to-head record alone. The most recent clash, on 14 Jun 2025, ended 2–3 with Kalmar FF winning.

With the win record balanced, the strongest H2H-derived signal is in the goals market. At 5.0 goals per game historically, Over 2.5 is the cleaner angle to extract from the head-to-head data.

Trading

Landskrona BoIS half-time and goal-timing data (53 games, 26 at home): they score before half-time in 77% of fixtures in home games; when goalless at HT, a second-half goal follows 75% of the time; two or more arrive in the second half on 50% of those occasions; BTTS occurs in 54% of their matches (home games); Over 2.5 goals lands in 54% of games (home games).

Kalmar FF half-time and goal-timing data (53 games, 26 at away): they score before half-time in 73% of fixtures in away games; when goalless at HT, a second-half goal follows 64% of the time; BTTS occurs in 65% of their matches (away games); Over 2.5 goals lands in 54% of games (away games); Over 3.5 in 40%.

BTTS rates are mixed from the trading data — Landskrona BoIS 55% versus Kalmar FF 57%; no strong lean in either direction. The over/under 2.5 picture is inconclusive from the in-play data (Landskrona BoIS 55% | Kalmar FF 55%).

Poisson Model

The Poisson distribution model projects Landskrona BoIS 1.02 xG and Kalmar FF 1.01 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: Landskrona BoIS attack 0.916 / defence 1.055 | Kalmar FF attack 0.809 / defence 0.718. League average goals — home 1.550 / away 1.186. Kalmar FF's defence strength of 0.718 is below average — they are conceding at a rate that inflates the home xG figure. Data: 53 Landskrona BoIS games / 23 Kalmar FF games used (CurrentSeason).

Result probabilities: Landskrona BoIS 34% | Draw 32% | Kalmar FF 34%. Fair-value odds: Landskrona BoIS 2.94 | Draw 3.12 | Kalmar FF 2.94. The draw (32%) is the Poisson-preferred outcome — neither side is more likely to win than to draw, making draw-inclusive markets the most model-aligned approach.

Goals markets: Over 2.5 probability 33% | BTTS probability 41% | Total xG 2.03. Under 2.5 is the strongly backed market at 67% probability — total xG of 2.03 sits well below the 2.5 threshold. The model is projecting a tight, low-scoring match based on both sides' defensive quality. BTTS probability of 41% is moderate — neither team is projected to score with enough certainty to make Yes a clear standalone call.

Verdict

The Poisson model's preferred outcome is the draw at 32% — neither side is more likely to win than to draw. Draw-inclusive markets are the most model-aligned approach. Home win at 34% and away win at 34% are close enough that backing either outright carries significant draw exposure.

Poisson projects 2.03 total expected goals, pointing to Under 2.5 at 33% probability — Poisson-only — limited corroboration conviction.

On the BTTS market, Poisson puts 41% on No. Form rates are neutral: Landskrona BoIS 60% | Kalmar FF 50%.

The outsider holds a 34% 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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