The electric atmospheres, fiery passion, and unrelenting intensity of Turkish football take center stage as the Süper Lig rolls into an enthralling Matchweek 8 from October 16–19. With the 2026/27 campaign finding its full autumn stride, the race at the summit of the table is accelerating rapidly. The nation’s powerhouse clubs are fighting tooth and nail to establish dominance and pull clear in the title race, while ambitious challengers and proud provincial sides are eager to spring monumental upsets.

The weekend’s action reaches its crescendo on Monday night in the Black Sea region, where historic titans Trabzonspor collide with Beşiktaş in a thunderous derby clash at Papara Park. Saturday’s slate delivers tremendous drama of its own, with Fenerbahçe looking to ignite the Ülker Stadium against a dangerous Alanyaspor, while reigning giants Galatasaray make a high-stakes trip to the capital to battle Gençlerbirliği. The schedule is further enriched by Sunday battles including İstanbul Başakşehir hosting Gaziantep FK and Kocaelispor meeting Göztepe. Explore our advanced AI-driven match predictions, detailed team statistics, and data analytics for every volatile 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 8. 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.