Dainava vs Panevėžys: result 1-1 and analysis
Friendlies ClubsClub Friendlies 3Kick-off on January 14, 2023 at 12:00 AM (UTC)Marijampolės futbolo arenos maniežas, Marijampolė
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What was the result of Dainava vs Panevėžys?
Dainava and Panevėžys drew 1-1 on January 14, 2023.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Dainava have 11 wins, 1 draws and 3 defeats; Panevėžys have 5, 6 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 12, 2022 | FA Šiauliai II(away) | 1-0 | 1 Lyga |
| Nov 4, 2022 | Nevėžis(away) | 1-0 | 1 Lyga |
| Oct 28, 2022 | Šilas(home) | 4-1 | 1 Lyga |
| Oct 22, 2022 | Panevėžys II(away) | 3-1 | 1 Lyga |
| Oct 17, 2022 | Žalgiris II(away) | 2-3 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 23, 2022 | Jonava(home) | 2-1 | A Lyga |
| Nov 13, 2022 | FK Trakai(away) | 1-2 | A Lyga |
| Nov 9, 2022 | FK Zalgiris Vilnius(away) | 1-0 | A Lyga |
| Nov 5, 2022 | Kauno Žalgiris(away) | 0-0 | A Lyga |
| Oct 30, 2022 | Hegelmann Litauen(home) | 3-1 | A Lyga |
What does the head-to-head say?
Across the last 6 meetings: 0 Dainava win(s), 2 draw(s), 4 Panevėžys win(s).
| Date | Score | Competition |
|---|---|---|
| May 18, 2022 | Dainava 0-2 Panevėžys | Cup |
| Sep 24, 2021 | Panevėžys 0-0 Dainava | A Lyga |
| Jul 1, 2021 | Dainava 1-2 Panevėžys | A Lyga |
| May 19, 2021 | Panevėžys 3-0 Dainava | A Lyga |
| Apr 9, 2021 | Dainava 1-3 Panevėžys | A Lyga |
| Aug 10, 2018 | Panevėžys 1-1 Dainava | 1 Lyga |
How many goals should we expect?
Dainava score 2.7 and concede 1.0 goals per match over their last 15; Panevėžys score 0.9 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Dainava | 2.7 | 1.0 | 5 | 10/15 | 11/15 |
| Panevėžys | 0.9 | 0.7 | 6 | 6/15 | 3/15 |
Over the last 15 matches in all competitions.
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