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International · Int. Friendly · Friendlies

12 Nov 2025 16:45 UTC

TUNISIA vs MAURITANIA

Final 1:1

Draw

Match timeline

1st half

⚽ Firas Chaouat — Tunisia

2nd half

⚽ Mohamed Sarr — Mauritania

Model predictions were

48%

1X2

Draw

Result: Draw

47%

Both teams to score

Chance at least one team fails to score

Result: Yes

48%

Total 1.5

Under

Chance of 1 or fewer goals

Result: Over

48%

Total 2.5

Under

Chance of 2 or fewer goals

Result: Under

48%

Total 3.5

Under

Chance of 3 or fewer goals

Result: Under

82%

Total 4.5

Under

Chance of 4 or fewer goals

Result: Under

26%

Score

0:0

Chance of this exact score

Result: 1:1

Model Context Was

Match prediction context

Probability in similar matches 46% (Average)

How often the predicted 1X2 outcome matched the final result in past matches in this league when the model’s predicted score line had the same home-minus-away goal difference (0; home goals minus away goals).

Based on 13 past matches with this goal margin in this league.

Draw likelihood 23% (Typical)

Historical draw rate in this league. Low / Typical / High is relative to usual draw frequencies, not model accuracy.

Based on 114 finished matches in this league.

League

Historical model performance in this league before this match date.

No stats available

Teams

This shows how the model performed in matches with these teams.

No stats available

Markets

This shows how often each type of prediction was correct in this league.

No stats available

Match overview

Final result breakdown for Tunisia vs Mauritania. The match ended 1-1 in International · Int. Friendly · Friendlies. The model leaned toward Draw with a marginal edge (48.4%).

The outcome aligned with the model’s expectation. League trends indicate that high-scoring matches are common, with over 4.5 goals appearing in 75.4% of matches across a sample of 57 games. Team-level data remains useful for understanding style and chance creation across comparable fixtures.

Market-level signals were partially accurate across the main goal-related markets. Key market checks included over 1.5 goals (48.2%) came in as a marginal edge and was not confirmed. Over 2.5 goals (48.2%) was correctly identified, both teams to score (46.5%) fell short of the result.

The model output remains a useful reference when combined with match context. This prediction analysis remains most effective when result context, market outcomes, and team tendencies are read together.

TUNISIA vs MAURITANIA

Match timeline

1st half

2nd half

Model predictions were

Model Context Was

Match prediction context

League

Teams

Markets

Match overview

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