Across Morocco, football continues to evolve with stronger teams and tighter contests. The Botola 2 is widely recognized for the level of competition it consistently delivers. We evaluate fixtures using structured data and observable performance trends. As the season progresses, trends begin to define team strengths and weaknesses.
| Form | Prediction | Result | Confidence % | |
|---|---|---|---|---|
| Round 17 | ||||
| Chabab Mohammedia USM Oujda 2026-03-01 |
DWWLL
DDWWD |
X2 | 1:0 |
84.11%
|
| KAC Kenitra Chabab Benguerir 2026-03-01 |
LLDDD
LLLD |
1X | 1:1 |
62.67%
|
| Jeunesse Sportive Soualem RAC Casablanca 2026-03-01 |
WWDLD
WLDLD |
1 DNB | 0:0 |
65.86%
|
| Chabab Atlas Khenifra Stade Marocain 2026-03-01 |
LDLDD
LDDWL |
X2 | 1:0 |
70.3%
|
| Form | Prediction | Result | Confidence % | |
|---|---|---|---|---|
| Round 15 | ||||
| Chabab Benguerir Jeunesse Sportive Soualem 2026-02-15 |
LD
DLD |
1:3 |
|
|
| RAC Casablanca US Boujaad 2026-02-15 |
DLD
WLD |
1X | 0:2 |
58.25%
|
| Wydad Fes Mouloudia Oujda 2026-02-15 |
LWD
DDD |
1X | 2:2 |
70.41%
|
| Round 13 | ||||
| KAC Kenitra Chabab Atlas Khenifra 2026-01-31 |
DLWDW
DWDDL |
1X | 1:1 |
55.05%
|
| Raja Beni Mellal Widad Temara 2026-01-31 |
DLDLL
WWDDW |
X2 | 1:1 |
69.3%
|
| USM Oujda Jeunesse Sportive Soualem 2026-01-31 |
DLWWL
DWDDL |
X2 | 3:2 |
62.8%
|
Our methodology
Our prediction process for the Botola 2 is grounded in data analysis and measurable trends. Mathematical models, including Linear Regression, are used to interpret performance metrics. We focus on performance indicators including scoring rates and defensive stability. It allows for a more structured understanding of each game.
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