The 2026 Swedish Superettan campaign reaches its dramatic climax on Saturday, November 7, with the simultaneous kickoff of the final round, Matchday 30. All eight fixtures kick off at 15:00 CET, ensuring non-stop drama as direct promotion places, promotion playoff berths, and relegation fates are sealed in real time. The headline encounter sees traditional giants Helsingborgs IF battle Falkenbergs FF at Olympia, while Örebro SK lock horns with promotion chasers Östers IF at Behrn Arena, and IFK Värnamo square off against IFK Norrköping in a clash brimming with top-flight ambition.

Simultaneously across the country, high-stakes battles will unfold as Sandvikens IF host Nordic United FC, Ljungskile SK take on Landskrona BoIS, Östersunds FK play IK Oddevold, IK Brage clash with Norrby IF, and GIF Sundsvall welcome Varbergs BoIS FC. With table positions and goal differences fluctuating with every passing minute of this 90-minute season finale, precision forecasting is critical. Tap into our intelligent AI-driven algorithms, live match simulations, and exhaustive statistical analytics to stay completely ahead of the dramatic final round in the Superettan.

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 Superettan 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.