Panevėžys vs Šiauliai: prediction and stats
A LygaRegular Season - 36Kick-off on November 7, 2026 at 12:15 PM (UTC)Žemynos progimnazijos stadionas, Panevėžys
The Footlab model makes Panevėžys the favourite at 50%, against 26% for a draw and 24% for Šiauliai. The most likely score is 1-1.
This model is measured at 53.9% 1X2 accuracy on a temporal hold-out, against 33.3% for random guessing. See the measured accuracy
Probabilities recomputed on Aug 25, 2026 — the full match card is recomputed continuously until kick-off.
Who will win Panevėžys vs Šiauliai?
A very open match: only 81 Elo points separate Panevėžys (1,630) and Šiauliai (1,550).
What is the recent form of both teams?
Over their last 15 matches in all competitions, Panevėžys have 3 wins, 4 draws and 8 defeats; Šiauliai have 4, 1 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 23, 2026 | Suduva Marijampole(away) | 0-2 | A Lyga |
| Aug 17, 2026 | Šiauliai(away) | 0-1 | A Lyga |
| Aug 10, 2026 | TransINVEST Vilnius(away) | 2-0 | A Lyga |
| Aug 3, 2026 | Džiugas Telšiai(home) | 1-1 | A Lyga |
| Jul 30, 2026 | FK Tobol Kostanay(away) | 1-1 | UEFA Europa Conference League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 24, 2026 | TransINVEST Vilnius(away) | 0-3 | A Lyga |
| Aug 17, 2026 | Panevėžys(home) | 1-0 | A Lyga |
| Aug 9, 2026 | Džiugas Telšiai(home) | 3-4 | A Lyga |
| Aug 3, 2026 | Banga(home) | 1-3 | A Lyga |
| Jul 24, 2026 | Hegelmann Litauen(home) | 0-2 | A Lyga |
What does the head-to-head say?
Across the last 6 meetings: 2 Panevėžys win(s), 1 draw(s), 3 Šiauliai win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 17, 2026 | Šiauliai 1-0 Panevėžys | A Lyga |
| Jun 20, 2026 | Panevėžys 3-2 Šiauliai | A Lyga |
| Apr 18, 2026 | Šiauliai 3-1 Panevėžys | A Lyga |
| Oct 5, 2025 | Šiauliai 3-3 Panevėžys | A Lyga |
| Jul 20, 2025 | Panevėžys 2-0 Šiauliai | A Lyga |
| Jun 1, 2025 | Šiauliai 2-1 Panevėžys | A Lyga |
Last archived meeting: Šiauliai vs Panevėžys on Aug 17, 2026
How many goals should we expect?
Panevėžys score 0.9 and concede 1.7 goals per match over their last 15; Šiauliai score 1.3 and concede 2.3. The model gives a 51% probability of over 2.5 goals and 53% for both teams to score.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Panevėžys | 0.9 | 1.7 | 2 | 8/15 | 7/15 |
| Šiauliai | 1.3 | 2.3 | 2 | 9/15 | 11/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Panevėžys sit 8th in A Lyga (23 points from 24 matches) and Šiauliai sit 9th (16 points from 25 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | Panevėžys | 24 | 6 | 5 | 13 | 21 | 41 | 23 |
| 9 | Šiauliai | 25 | 3 | 7 | 15 | 23 | 53 | 16 |
Verdict, probable XI and verified absences
The full match card recomputes this prediction continuously until kick-off: multi-market verdict, player-by-player probable XI and web-verified absences.
Open the full match card in the app
No odds, no affiliation: the method is published and the accuracy is measured.
How does Footlab compute this prediction?
The model combines both teams' Elo ratings (anchored by competition pool), their recent form weighted by opponent strength, home advantage and a Poisson matrix for scorelines. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy
Frequently asked questions
- Who is the favourite for Panevėžys vs Šiauliai?
- The Footlab model makes Panevėžys the favourite at 50%, against 26% for a draw and 24% for Šiauliai.
- Where and when is Panevėžys vs Šiauliai played?
- Panevėžys vs Šiauliai is played on November 7, 2026 at 12:15 PM (UTC) at Žemynos progimnazijos stadionas, in the A Lyga.
- Will there be over 2.5 goals?
- The Footlab model gives a 51% probability of at least three goals in this match.
- How reliable is this prediction?
- The Footlab model is measured at 53.9% correct 1X2 outcomes on a temporal hold-out, against 33.3% for random guessing. The breakdown by competition and Elo gap is published on the accuracy page.