France football has developed into a highly competitive and closely contested landscape. As the top competition, the Ligue 1 draws consistent attention from fans and analysts. Our approach looks at both attacking output and defensive stability across fixtures.
| Form | Prediction | Result | Confidence % | |
|---|---|---|---|---|
| Round 32 | ||||
| Nantes Marseille 2026-05-02 |
LLDDD
DLWLL |
2 DNB |
74.61%
|
|
| PSG Lorient 2026-05-02 |
WWWLW
LWLD |
1 |
97.91%
|
|
| Metz Monaco 2026-05-02 |
DLLDD
DDLWW |
2 |
95.87%
|
|
| Nice Lens 2026-05-02 |
DWDDL
DWWL |
Handicap 1 (2:0) |
61.06%
|
|
| Form | Prediction | Result | Confidence % | |
|---|---|---|---|---|
| Round 31 | ||||
| Lorient Strasbourg 2026-04-26 |
WLD
LLWLW |
1X | 2:3 |
63.54%
|
| Le Havre Metz 2026-04-26 |
DDDLD
LLDDL |
1 DNB | 4:4 |
78.96%
|
| Paris FC Lille 2026-04-26 |
WWDWD
DWWWL |
2 DNB | 0:1 |
68.52%
|
| Rennes Nantes 2026-04-26 |
WWWDL
LDDDL |
1 | 2:1 |
97.48%
|
| Marseille Nice 2026-04-26 |
LWLLW
WDDLL |
1 | 1:1 |
56.22%
|
| Lyon Auxerre 2026-04-25 |
WWDLL
DDD |
Handicap 2 (0:2) | 3:2 |
51.11%
|
| Angers PSG 2026-04-25 |
DLD
WLWWW |
2 | 0:3 |
64.95%
|
| Toulouse Monaco 2026-04-25 |
LLLLW
DLWWW |
X2 | 2:2 |
94.18%
|
| Round 30 | ||||
| Monaco Auxerre 2026-04-19 |
LWWWW
DD |
1 | 2:2 |
50.55%
|
| Metz Paris FC 2026-04-19 |
LDDLL
WDWDD |
X2 | 1:3 |
79.62%
|
| Nantes Brest 2026-04-19 |
DDL
LLLWW |
1X | 1:1 |
68.52%
|
| Strasbourg Rennes 2026-04-19 |
WLWWD
WWDLW |
X2 | 0:3 |
86.48%
|
| PSG Lyon 2026-04-19 |
WWWWW
WDLLD |
1 | 1:2 |
98.7%
|
| Lorient Marseille 2026-04-18 |
LD
WLLWW |
2 DNB | 2:0 |
93.16%
|
| Angers Le Havre 2026-04-18 |
LD
DDLDL |
1X | 1:1 |
55.81%
|
| Lille Nice 2026-04-18 |
WWWLW
DLLWL |
1 | 0:0 |
95.82%
|
Our methodology
We generate Ligue 1 predictions using structured statistical models and match data. Linear Regression forms part of the framework used to analyze match data. Metrics such as goals scored, goals conceded, and team form are central to the analysis. This supports a more informed evaluation of upcoming fixtures.
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