Dainava vs Panevėžys: result 0-2 and analysis
CupRound of 16Kick-off on May 18, 2022 at 03:00 PM (UTC)Alytaus m. centrinis stadionas, Marijampolė
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What was the result of Dainava vs Panevėžys?
Panevėžys won 0-2 on May 18, 2022.
Goalscorers
- 71′E. VeliulisPanevėžys
- 83′P. ŠirvysPanevėžys
What is the recent form of both teams?
Over their last 15 matches in all competitions, Dainava have 8 wins, 3 draws and 4 defeats; Panevėžys have 10, 4 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 15, 2022 | Trakai II(home) | 3-2 | 1 Lyga |
| May 6, 2022 | Šturmas(away) | 8-1 | Cup |
| Apr 29, 2022 | Neptūną Klaipėda(away) | 0-3 | 1 Lyga |
| Apr 23, 2022 | Minija(away) | 2-0 | Cup |
| Apr 16, 2022 | Minija(away) | 2-0 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 15, 2022 | Džiugas Telšiai(home) | 1-0 | A Lyga |
| May 7, 2022 | Utenis Utena(away) | 5-0 | Cup |
| May 3, 2022 | Hegelmann Litauen(home) | 1-1 | A Lyga |
| Apr 30, 2022 | Kauno Žalgiris(away) | 1-2 | A Lyga |
| Apr 27, 2022 | FK Trakai(home) | 3-0 | A Lyga |
What does the head-to-head say?
Across the last 6 meetings: 1 Dainava win(s), 2 draw(s), 3 Panevėžys win(s).
| Date | Score | Competition |
|---|---|---|
| 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 |
| Apr 8, 2018 | Dainava 1-0 Panevėžys | 1 Lyga |
How many goals should we expect?
Dainava score 1.7 and concede 1.2 goals per match over their last 15; Panevėžys score 1.8 and concede 0.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Dainava | 1.7 | 1.2 | 4 | 7/15 | 5/15 |
| Panevėžys | 1.8 | 0.4 | 11 | 4/15 | 7/15 |
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