Mauritania offers a football scene where consistency and form often decide outcomes. The Ligue 1 continues to attract interest for its competitive balance and structure. Our analysis highlights performance trends to give a clearer view of each fixture. Every round provides new data points to assess team strength and form.
| Form | Prediction | Result | Confidence % | |
|---|---|---|---|---|
| Round 18 | ||||
| Chemal Kaedi 2026-03-03 |
LLDWW
DLDLD |
X2 | 2:0 |
53.27%
|
| Form | Prediction | Result | Confidence % | |
|---|---|---|---|---|
| Round 17 | ||||
| Nouadhibou Chemal 2026-02-15 |
WDWWW
LDWWD |
1 | 4:0 |
79.14%
|
| Round 16 | ||||
| Nouakchott Academy Nouadhibou 2026-02-10 |
DWLDW
DWWWD |
Handicap 1 (2:0) | 0:2 |
58.26%
|
Our methodology
Each Ligue 1 prediction is based on a model-driven evaluation of team performance. Models like Linear Regression are used to identify relationships within performance data. The analysis incorporates goal trends, defensive data, and historical performance. This helps present each match from a data-informed perspective.
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