The relentless passion of Turkish football is set to erupt once again as the Süper Lig rolls into Matchweek 7 over the weekend of October 9–11. As the early stages of the 2026/27 campaign give way to the grueling autumn grind, the top-tier standings are beginning to take shape. Every point is fiercely contested as the historic Istanbul giants look to assert their dominance, while ambitious challengers fight to disrupt the established order and avoid slipping into early-season relegation battles.

This weekend’s action kicks off with a bang on Friday night, as defending heavyweights Galatasaray host Kasımpaşa in a tense Istanbul derby. The drama escalates on Saturday with a compelling Black Sea clash between Samsunspor and Trabzonspor, alongside Fenerbahçe facing a difficult away test against Çaykur Rizespor. Sunday rounds out the massive slate as Beşiktaş welcomes newly promoted Kocaelispor, while Konyaspor meets İstanbul Başakşehir. Explore our advanced AI-driven match predictions, detailed team statistics, and data analytics for every hard-fought encounter across this thrilling Süper Lig round.

Full Time Results and Asian Handicap

In the table below you will find our AI prediccions for Süper Lig round 7. 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.

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.