Portugal football continues to grow in competitiveness and talent.As a key competition, the Liga Portugal 2 reflects the overall strength of football in Portugal.We analyze team performance using a combination of form, trends, and match data.This allows for a more structured view of performance across all fixtures.
| Form | Prediction | Result | Confidence % | |
|---|---|---|---|---|
| Round 30 | ||||
| FC Porto B Leixoes 2026-04-20 |
DW WD |
1X | 58.66% | |
| Sporting CP B Felgueiras 2026-04-20 |
LLWLL DWLDL |
1X | 60.93% | |
| Portimonense Lusitania FC 2026-04-19 |
LWWLL DD |
X2 | 59.6% | |
| Vizela SC Farense 2026-04-19 |
LL WLLDD |
1X | 52.77% | |
| Pacos Ferreira Chaves 2026-04-18 |
DDLLW WL |
1X | 51.31% | |
| Leiria Penafiel 2026-04-18 |
DDWWL WWLLD |
Handicap 2 (0:2) | 58.5% | |
| Torreense Maritimo 2026-04-18 |
LD WDWWW |
X2 | 91.34% | |
| Academico Viseu Feirense 2026-04-17 |
LLWWL WWLWL |
1 DNB | 3:0 | 70.63% |
| Form | Prediction | Result | Confidence % | |
|---|---|---|---|---|
| Round 29 | ||||
| Maritimo Portimonense 2026-04-12 |
DWWWL WWLLL |
1 | 1:0 | 50.27% |
| Penafiel Academico Viseu 2026-04-11 |
WLLDD LWWLW |
X2 | 4:3 | 57.71% |
| SC Farense Sporting CP B 2026-04-11 |
LLDDW LWLLL |
X2 | 2:1 | 70.87% |
| Felgueiras Pacos Ferreira 2026-04-10 |
WLDLD DLLWW |
1 DNB | 0:0 | 56.08% |
| Round 28 | ||||
| Vizela Benfica B 2026-04-07 |
WWWWW WLWDL |
1X | 1:2 | 54.16% |
| FC Porto B Chaves 2026-04-06 |
LDLWW LWWLW |
1X | 3:0 | 54.71% |
| Torreense Leixoes 2026-04-06 |
WWWLW WLLWL |
1 DNB | 1:1 | 68.37% |
| Leiria Lusitania FC 2026-04-05 |
WWLWW LLWLW |
1 DNB | 0:0 | 93.5% |
| SC Farense Feirense 2026-04-04 |
LDDWL LWLDL |
X2 | 0:1 | 60.11% |
| Sporting CP B Penafiel 2026-04-04 |
WLLLL LLDDD |
X2 | 1:2 | 65.85% |
| Pacos Ferreira Maritimo 2026-04-04 |
LLWWD WWWLW |
2 DNB | 0:0 | 92.2% |
| Academico Viseu Felgueiras 2026-04-04 |
WWLWW LDLDD |
1 DNB | 0:1 | 80.91% |
| Oliveirense Portimonense 2026-04-03 |
LDLDL WLLLL |
X2 | 1:2 | 77.54% |
Quick Guide for Beginners
Each Liga Portugal 2 prediction is based on a model-driven evaluation of team performance. Linear Regression forms part of the framework used to analyze match data. We analyze factors such as scoring trends, defensive records, and match consistency. This provides a structured and objective view of each matchup.
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