Iraq Football Predictions, Fixtures & Results

Iraqi League features in our Iraq football predictions. Choose a competition for its fixtures and betting tips, or open a match to compare the teams.

Follow Iraqi League: fixtures, match predictions and results.

Upcoming fixtures and predictions

Iraqi League predictions

Past matches and results

Iraqi League predictions

Iraq: matches to explore

Preview Al Quwa Al Jawiya vs Al Karkh, scheduled for 07 November 2026, 13:00 UTC in Iraqi League. Preview Al Zawra'a vs Al-Jolan SC, scheduled for 07 November 2026, 15:30 UTC in Iraqi League. Preview Erbil vs Gharraf, scheduled for 08 November 2026, 13:30 UTC in Iraqi League. Open a preview for the available match-winner, goals and both teams to score (BTTS) analysis.

Finding a competition in Iraq

The covered competitions below have saved match previews. Availability changes as fixtures and predictions are added; a league with no upcoming tips can still have results to explore.

Goals and BTTS in these Iraq results

The 16 completed matches in this page’s initial result sample (29 Oct 2026 to 06 Nov 2026) produced 35 goals, averaging 2.19 per game. 6 of 16 finished with over 2.5 goals; both teams scored in 8 of 16. This describes the saved full-time results at page load, not a season average or a forecast. Games decided after extra time or penalties and results without confirmed scores are excluded.

Inspect the individual results: Newroz 1–0 Karbala; Al-Karma 4–1 Naft Maysan; Al Talaba 2–2 Ghaz Al Shamal.

Use the sample as context when reviewing over 2.5 goals predictions and both teams to score tips. Those market pages cover multiple competitions; the figures above apply only to this dated sample.

Teams in these Iraq fixtures

Follow a team to see its available fixtures and recent results across competitions. This helps put the opposition and home or away form behind each match prediction in context.

For the wider schedule, browse today's football predictions or tomorrow's fixtures and tips. Read how our predictions are prepared before using the estimates. No outcome is guaranteed.