Algeria football has developed into a highly competitive and closely contested landscape. The Ligue 1 provides a platform where tactical approaches and squad depth are tested. Our approach looks at both attacking output and defensive stability across fixtures. Whether you're following title contenders or mid-table clashes, every fixture offers insight.
| Form | Prediction | Result | Confidence % | |
|---|---|---|---|---|
| Round 28 | ||||
| Mostaganem Saoura 2026-05-07 |
LL
WDW |
2 | 0:4 |
99.79%
|
| Oran ASO Chlef 2026-05-07 |
WLWW
WLW |
1 | 1:0 |
59.47%
|
| Form | Prediction | Result | Confidence % | |
|---|---|---|---|---|
| Round 27 | ||||
| Constantine MC Alger 2026-04-16 |
DL
WLWWW |
X2 | 2:0 |
74.71%
|
| Round 25 | ||||
| ASO Chlef USM Alger 2026-04-05 |
LWWDL
LLWWL |
X2 | 2:1 |
67.43%
|
| CR Belouizdad Mostaganem 2026-04-05 |
WLDWD
WLLLD |
1 | 7:0 |
97.99%
|
| ES Setif Ben Aknoun 2026-04-05 |
LLWWL
LWDWL |
Handicap 2 (0:2) | 1:1 |
80.98%
|
| El Bayadh Kabylie 2026-04-05 |
LDLDD
WWLLW |
X2 | 1:1 |
82.8%
|
| Saoura MC Alger 2026-04-05 |
WWLLW
WWWWW |
X2 | 2:1 |
87.3%
|
| Constantine Oran 2026-04-03 |
LDDWD
WLWWW |
1 DNB | 0:1 |
57.1%
|
Our methodology
We apply a data-led methodology to produce our Ligue 1 predictions. Linear Regression models are used to break down performance indicators across teams. Key variables include goal-scoring efficiency, defensive strength, and recent form. The aim is to provide reliable insights grounded in data.
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