Sweden’s Allsvenskan accelerates into a pivotal penultimate stretch as Round 28 takes center stage from Friday, November 6 to Sunday, November 8, with the battle for the Lennart Johansson trophy and European qualification reaching an absolute fever pitch. The weekend ignites on Friday night in the capital as Hammarby IF welcome title contenders IF Elfsborg to an electric Tele2 Arena. Saturday keeps the tension mounting across the country with Degerfors IF fighting for critical points against GAIS at Stora Valla, while Örgryte IS square off against Västerås SK at Gamla Ullevi.

Sunday delivers the grandest fixture in Swedish football history, the legendary Mesta Mästarmötet, as archrivals IFK Göteborg and defending champions Malmö FF collide in front of a thunderous crowd. Sunday’s high-stakes schedule is rounded out by Halmstads BK battling Djurgårdens IF, Kalmar FF taking on IK Sirius at Guldfågeln Arena, and IF Brommapojkarna locking horns with Mjällby AIF. With title dreams and relegation survival on the line in these final matchdays, precision data is essential. Explore our advanced AI match predictions, probabilistic simulations, and comprehensive tactical analytics to stay ahead on every Swedish Allsvenskan fixture.

1X2 Match Projections

We let our algorithms crunch the numbers, dig into recent team stats, and do the heavy lifting so you don’t have to! Here is our 1X2 outlook for Allsvenskan at a glance.

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.