Spain football has developed into a highly competitive and closely contested landscape. The Laliga provides a platform where tactical approaches and squad depth are tested. Our approach looks at both attacking output and defensive stability across fixtures.
| Form | Prediction | Result | Confidence % | |
|---|---|---|---|---|
| Round 33 | ||||
| Levante Sevilla 2026-04-23 |
WLWDD
WL |
X2 |
82%
|
|
| Rayo Vallecano Espanyol 2026-04-23 |
LLWWL
LDLLD |
1X |
64.95%
|
|
| Oviedo Villarreal 2026-04-23 |
WW
WL |
1X |
81.76%
|
|
| Elche Atl. Madrid 2026-04-22 |
WLWLL
LLLWL |
X2 |
83.2%
|
|
| Real Sociedad Getafe 2026-04-22 |
WDW
LW |
X2 |
55.4%
|
|
| Barcelona Celta Vigo 2026-04-22 |
WWLWW
LLLWL |
1 |
78.4%
|
|
| Ath Bilbao Osasuna 2026-04-21 |
LLWLL
DD |
Handicap 2 (0:2) | 1:0 |
70.98%
|
| Mallorca Valencia 2026-04-21 |
WWLWD
LL |
X2 | 1:1 |
68.88%
|
| Girona Betis 2026-04-21 |
DW
LDDDL |
1X | 2:3 |
74.68%
|
| Real Madrid Alaves 2026-04-21 |
LDLLW
DDWDL |
1 | 2:1 |
88.31%
|
| Form | Prediction | Result | Confidence % | |
|---|---|---|---|---|
| Round 31 | ||||
| Mallorca Rayo Vallecano 2026-04-12 |
WLWDL
WWLLD |
X2 | 3:0 |
60%
|
| Barcelona Espanyol 2026-04-11 |
LWWWW
DLLDD |
1 | 4:1 |
69.47%
|
| Round 30 | ||||
| Girona Villarreal 2026-04-06 |
LWDLD
WDWLW |
1X | 1:0 |
50.26%
|
| Oviedo Sevilla 2026-04-05 |
LWDLL
LLDDW |
X2 | 1:0 |
51.59%
|
| Getafe Ath Bilbao 2026-04-05 |
WLWWL
WLLLD |
1X | 2:0 |
60%
|
| Alaves Osasuna 2026-04-05 |
WDLLD
WLDLW |
X2 | 2:2 |
51.94%
|
| Valencia Celta Vigo 2026-04-05 |
WLWWL
LWDDL |
X2 | 2:3 |
87.12%
|
| Real Sociedad Levante 2026-04-04 |
LWLWW
WDDWL |
Handicap 2 (0:2) | 2:0 |
58.26%
|
| Atl. Madrid Barcelona 2026-04-04 |
LLWWW
WWWDW |
X2 | 1:2 |
91.77%
|
| Mallorca Real Madrid 2026-04-04 |
LWDLL
WWWWW |
2 | 2:1 |
98.44%
|
| Betis Espanyol 2026-04-04 |
LWDLL
LLDDL |
1 DNB | 0:0 |
70.41%
|
| Rayo Vallecano Elche 2026-04-03 |
LLDWD
WLLDL |
1 DNB | 1:0 |
84.7%
|
Our methodology
We use statistical modeling techniques to produce consistent Laliga predictions. This includes models such as Linear Regression to evaluate team performance patterns. Our evaluation considers attacking output, defensive metrics, and recent performances. The aim is to provide reliable insights grounded in data.
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