The race for the Lennart Johansson Trophy intensifies as Sweden’s Allsvenskan enters a crucial Round 22 across the weekend of September 19–20. With the crisp autumn air settling in, the 2026 campaign is rapidly approaching its climax. Every point won or lost now reverberates at both ends of the table, from the fierce battle for the championship and European qualification spots to the desperate scramble to avoid relegation.

The action kicks off on Saturday with title contenders Malmö FF traveling to face Västerås SK, alongside key fixtures featuring IF Brommapojkarna hosting IFK Göteborg and Örgryte IS taking on IK Sirius. Sunday delivers another heavy slate of drama, highlighted by a blockbuster clash between Djurgårdens IF and IF Elfsborg. Elsewhere, AIK hits the road against Halmstads BK, Hammarby IF visits Degerfors IF, and Kalmar FF meets BK Häcken. Explore our advanced AI-driven match predictions, detailed team statistics, and data analytics for every encounter across this decisive Allsvenskan round.

Full Time Results and Asian Handicap

In the table below you will find our AI prediccions for Allsvenskan round 22. Asian refers to the recomended asian handicap line.

Both Teams to Score

BTS (Both Teams to Score) is a popular betting market in sports, especially in soccer. In a BTS bet, you’re wagering on whether both teams in a match will score at least one goal each. The table below shows the BTS stats for the home team at home and the away team away.

Totals

The table below shows the goal averages for each encounter based on home teams average performance (goals scored and conceded) at home, and away teams average performance away. We use poisson distribution to calculate probabilities for over and under 2.5 goal. For your convienence we have converted the probabilities to decimal odds.

First Half Goals

The table below shows estimated first-half goal probabilities using Poisson distribution. HT Avg is the expected number of goals before half-time. O/U 0.5 FH and O/U 1.5 FH are the corresponding over/under odds for the first half.

Early Goals (First 15 Minutes)

The table below shows the probability of a goal being scored in the first 15 minutes. EG Home/Away (%) is the historical frequency across all matches for each team. Poisson ≥1 (%) is the model-estimated probability of at least one early goal in this fixture.

Corners Over/Under 9.5

The table below shows the predicted corner totals for each fixture using strength-of-schedule adjusted ratings. Corner Avg is the expected total corners. +9.5 and -9.5 odds are the model-estimated decimal odds for over and under 9.5 total corners.

We also have calculated the average goals scored and conceded for the teams. See the table below.

Correct Score Predictions

These projections are generated using advanced statistical models that evaluate team strength, expected‑goals data, and historical scoring patterns. The table below highlights the most probable scorelines based on current performance indicators and model‑driven probability weighting.