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Season 2026 Updated 5 Oct 2026

Tunisia Ligue 1 AI predictions

Follow Ligue 1 with daily model picks, the live standings and this season's numbers.

73%
Hit rate
15 Matches studied
79% Average chance
15 Clubs covered

Our model has studied 15 matches in Tunisia Ligue 1 so far this season. The home side has taken 47% of them, 53% have produced goals at both ends, and the average match has brought 2.13 goals. Each Ligue 1 pick below is logged publicly and graded once the final whistle goes.

Tunisia Ligue 1 is low-scoring this season: only 27% of games pass 2.5 goals, averaging 2.13 per match. Draws are common in Tunisia Ligue 1: 33% of this season's games have finished all square.

Next Ligue 1 fixtures, with picks

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Ligue 1 results, graded

US Ben Guerdane versus CS Hammam-Lif, Ligue 1 (Tunisia), Sun, 20 Sept. US Ben Guerdane 1, CS Hammam-Lif 0 at full time. Bookmaker odds: 1.82 on 1, 3.00 on X, 5.10 on 2. BananaGoal’s model — Full-time result: Home side avoids defeat (1.17 odds); Goals line: Under 2.5 goals (1.35 odds); Both teams to score: No (1.44 odds). Best tip, with a 85% chance: Under 2.5 goals (1.35 odds) — Won.
FT
Ben Guerdane1
Hammam-Lif0
✓ U2.5
▾1.3585%
CS Sfaxien versus CA Bizertin, Ligue 1 (Tunisia), Sun, 20 Sept. CS Sfaxien 2, CA Bizertin 0 at full time. Bookmaker odds: 1.62 on 1, 3.35 on X, 6.40 on 2. BananaGoal’s model — Full-time result: CS Sfaxien win (1.62 odds); Goals line: Under 2.5 goals (1.43 odds); Both teams to score: No (1.45 odds). Best tip, with a 87% chance: Under 2.5 goals (1.43 odds) — Won.
FT
CS Sfaxien2
CA Bizertin0
✓ U2.5
▾1.4387%
ES Zarzis versus US Monastirienne, Ligue 1 (Tunisia), Wed, 16 Sept. ES Zarzis 1, US Monastirienne 2 at full time. Bookmaker odds: 2.45 on 1, 2.75 on X, 3.25 on 2. BananaGoal’s model — Full-time result: ES Zarzis win (2.45 odds); Goals line: Under 2.5 goals (1.36 odds); Both teams to score: No (1.55 odds). Best tip, with a 75% chance: One side or both fail to score (1.55 odds) — Lost.
FT
Zarzis1
Monastir2
✗ No BTTS
▾1.5575%
US Ben Guerdane versus CS Sfaxien, Ligue 1 (Tunisia), Wed, 16 Sept. US Ben Guerdane 1, CS Sfaxien 1 at full time. Bookmaker odds: 3.15 on 1, 2.80 on X, 2.47 on 2. BananaGoal’s model — Full-time result: CS Sfaxien win (2.47 odds); Goals line: Under 2.5 goals (1.39 odds); Both teams to score: No (1.57 odds). Best tip, with a 83% chance: Under 2.5 goals (1.39 odds) — Won.
FT
Ben Guerdane1
CS Sfaxien1
✓ U2.5
▾1.3983%
Olympique Beja versus Progres Sakiet Eddaier, Ligue 1 (Tunisia), Sun, 13 Sept. Olympique Beja 1, Progres Sakiet Eddaier 1 at full time. Bookmaker odds: 3.10 on 1, 2.77 on X, 2.52 on 2. BananaGoal’s model — Full-time result: Progres Sakiet Eddaier win (2.52 odds); Goals line: Under 2.5 goals (1.38 odds); Both teams to score: No (1.57 odds). Best tip, with a 85% chance: Under 2.5 goals (1.38 odds) — Won.
FT
Olympique Beja1
Progres S1
✓ U2.5
▾1.3885%
Jeunesse Sportive Omrane versus ES Metlaoui, Ligue 1 (Tunisia), Sun, 13 Sept. Jeunesse Sportive Omrane 1, ES Metlaoui 0 at full time. Bookmaker odds: 2.27 on 1, 2.82 on X, 3.50 on 2. BananaGoal’s model — Full-time result: Jeunesse Sportive Omrane win (2.27 odds); Goals line: Under 2.5 goals (1.40 odds); Both teams to score: No (1.57 odds). Best tip, with a 75% chance: Under 2.5 goals (1.40 odds) — Won.
FT
JS Omrane1
Metlaoui0
✓ U2.5
▾1.4075%
CS Hammam-Lif versus ES Tunis, Ligue 1 (Tunisia), Sun, 13 Sept. CS Hammam-Lif 0, ES Tunis 1 at full time. Bookmaker odds: 7.60 on 1, 3.90 on X, 1.45 on 2. BananaGoal’s model — Full-time result: Home side avoids defeat (2.70 odds); Goals line: Under 2.5 goals (1.52 odds); Both teams to score: Yes (2.65 odds). Best tip, with a 57% chance: Home side avoids defeat (2.70 odds) — Lost.
FT
Hammam-Lif0
ES Tunis1
✗ 1X
2.7057%
US Monastirienne versus US Ben Guerdane, Ligue 1 (Tunisia), Sat, 12 Sept. US Monastirienne 3, US Ben Guerdane 3 at full time. Bookmaker odds: 1.75 on 1, 3.25 on X, 5.20 on 2. BananaGoal’s model — Full-time result: Level at full time (3.25 odds); Goals line: Under 2.5 goals (1.45 odds); Both teams to score: No (1.52 odds). Best tip, with a 87% chance: Under 2.5 goals (1.45 odds) — Lost.
FT
Monastir3
Ben Guerdane3
✗ U2.5
▴1.4587%
ES Hammam-Sousse versus Stade Tunisien, Ligue 1 (Tunisia), Sat, 12 Sept. ES Hammam-Sousse 1, Stade Tunisien 3 at full time. Bookmaker odds: 3.70 on 1, 3.00 on X, 2.22 on 2. BananaGoal’s model — Full-time result: Level at full time (3.00 odds); Goals line: Under 2.5 goals (1.33 odds); Both teams to score: No (1.50 odds). Best tip, with a 87% chance: Under 2.5 goals (1.33 odds) — Lost.
FT
Hamam-Sousse1
Stade Tunisien3
✗ U2.5
▾1.3387%
AS Marsa versus ES Sahel, Ligue 1 (Tunisia), Sat, 12 Sept. AS Marsa 1, ES Sahel 0 at full time. Bookmaker odds: 3.50 on 1, 2.95 on X, 2.20 on 2. BananaGoal’s model — Full-time result: Level at full time (2.95 odds); Goals line: Under 2.5 goals (1.45 odds); Both teams to score: Yes (2.20 odds). Best tip, with a 73% chance: Under 2.5 goals (1.45 odds) — Won.
FT
AS Marsa1
ES Sahel0
✓ U2.5
▴1.4573%
ES Metlaoui versus ES Hammam-Sousse, Ligue 1 (Tunisia), Sun, 6 Sept. ES Metlaoui 1, ES Hammam-Sousse 0 at full time. Bookmaker odds: 2.12 on 1, 2.87 on X, 3.85 on 2. BananaGoal’s model — Full-time result: Home side avoids defeat (1.26 odds); Goals line: Under 2.5 goals (1.36 odds); Both teams to score: Yes (2.45 odds). Best tip, with a 82% chance: Under 2.5 goals (1.36 odds) — Won.
FT
Metlaoui1
Hamam-Sousse0
✓ U2.5
1.3682%
ES Sahel versus Jeunesse Sportive Omrane, Ligue 1 (Tunisia), Sun, 6 Sept. ES Sahel 1, Jeunesse Sportive Omrane 1 at full time. Bookmaker odds: 1.55 on 1, 3.65 on X, 6.10 on 2. BananaGoal’s model — Full-time result: Level at full time (3.65 odds); Goals line: Under 2.5 goals (1.57 odds); Both teams to score: No (1.53 odds). Best tip, with a 64% chance: Under 2.5 goals (1.57 odds) — Won.
FT
ES Sahel1
JS Omrane1
✓ U2.5
▴1.5764%

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Four picks per Ligue 1 match: the 1X2 outcome, over/under, BTTS and our best tip, each shown with the chance the model gives it. This season in Tunisia Ligue 1: over 2.5 goals in 27% of games, 33% draws, 20% away wins.

What goes into your Ligue 1 predictions?

Data, not opinions. Head-to-head results, injuries, recent form and expected goals go into a machine-learning model, which rates every Ligue 1 match and publishes its picks automatically, with no human choosing them.

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