Football predictions
Lithuanian A Lyga
predictions
Upcoming matches and the latest results in Lithuanian A Lyga. Open a match and the AI analysis gives you the win probabilities, the most likely score, expected goals (xG) and both teams' form on one page.
7 matches
Upcoming matches 7
Panevėžys–Banga
Analysis
Džiugas Telšiai–TransINVEST Vilnius
Analysis
FK Zalgiris Vilnius–Hegelmann Litauen
Analysis
Suduva Marijampole–Kauno Žalgiris
AnalysisTransINVEST Vilnius–Hegelmann LitauenAnalysisBanga–Šiauliai
AnalysisDžiugas Telšiai–PanevėžysAnalysisLatest results 10
4–0FK Zalgiris Vilnius–Suduva MarijampoleMatch report0–2Šiauliai–Kauno ŽalgirisMatch report1–1Hegelmann Litauen–Suduva MarijampoleMatch report3–0TransINVEST Vilnius–FK Zalgiris VilniusMatch report2–0Banga–Džiugas TelšiaiMatch report3–2FK Zalgiris Vilnius–Kauno ŽalgirisMatch report1–3Banga–TransINVEST VilniusMatch report0–0Suduva Marijampole–FK Zalgiris VilniusMatch report0–0Šiauliai–Hegelmann LitauenMatch report0–1Panevėžys–Kauno ŽalgirisMatch report
FK Zalgiris Vilnius–Suduva MarijampoleMatch report0–2Šiauliai–Kauno ŽalgirisMatch report1–1Hegelmann Litauen–Suduva MarijampoleMatch report3–0TransINVEST Vilnius–FK Zalgiris VilniusMatch report2–0Banga–Džiugas TelšiaiMatch report3–2FK Zalgiris Vilnius–Kauno ŽalgirisMatch report1–3Banga–TransINVEST VilniusMatch report0–0Suduva Marijampole–FK Zalgiris VilniusMatch report0–0Šiauliai–Hegelmann LitauenMatch report0–1Panevėžys–Kauno ŽalgirisMatch reportLithuanian A Lyga table 2026
| # | Team | P | W | D | L | GD | Pts |
|---|---|---|---|---|---|---|---|
| 1 | Kauno Žalgiris | 28 | 14 | 9 | 5 | +36 | 51 |
| 2 | Suduva Marijampole | 29 | 13 | 11 | 5 | +10 | 50 |
| 3 | FK Zalgiris Vilnius | 29 | 14 | 5 | 10 | +11 | 47 |
| 4 | TransINVEST Vilnius | 28 | 13 | 6 | 9 | +8 | 45 |
| 5 | Banga | 28 | 11 | 8 | 9 | +4 | 41 |
| 6 | Džiugas Telšiai | 28 | 10 | 8 | 10 | -4 | 38 |
| 7 | Panevėžys | 28 | 9 | 5 | 14 | -14 | 32 |
| 8 | Hegelmann Litauen | 29 | 4 | 14 | 11 | -17 | 26 |
| 9 | Šiauliai | 29 | 3 | 8 | 18 | -34 | 17 |
| 10 |  FK Trakai | 0 | 0 | 0 | 0 | 0 | 0 |
What does the analysis look at?
Before every match it reads both teams' recent form, expected goals (xG), injured and suspended players, the standings and their previous meetings.
From these the model works out the 1X2 probabilities, the most likely score and the over/under and both-teams-to-score chances; the written commentary rests on the same numbers.
Featured analyses are recorded before kick-off and kept with their results in a public track record.