Dainava vs Panevėžys: result 1-0 and analysis
1 LygaRegular Season - 3Kick-off on April 8, 2018 at 12:00 PM (UTC)Marijampolės futbolo arenos maniežas, Marijampolė
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What was the result of Dainava vs Panevėžys?
Dainava won 1-0 on April 8, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Dainava have 7 wins, 4 draws and 4 defeats; Panevėžys have 8, 1 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 2, 2018 | Stumbras II(away) | 1-1 | 1 Lyga |
| Oct 21, 2017 | Panevėžys(away) | 2-1 | 1 Lyga |
| Oct 13, 2017 | Tauras(home) | 5-0 | 1 Lyga |
| Oct 6, 2017 | Džiugas Telšiai(home) | 1-0 | 1 Lyga |
| Sep 29, 2017 | Vilniaus Vytis(away) | 1-2 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 2, 2018 | Žalgiris II(home) | 1-0 | 1 Lyga |
| Mar 25, 2018 | Pakruojis(home) | 1-0 | 1 Lyga |
| Oct 21, 2017 | Dainava(home) | 1-2 | 1 Lyga |
| Oct 15, 2017 | Palanga(home) | 3-4 | 1 Lyga |
| Oct 6, 2017 | Trakai II(home) | 2-1 | 1 Lyga |
What does the head-to-head say?
Across the last 4 meetings: 2 Dainava win(s), 0 draw(s), 2 Panevėžys win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 21, 2017 | Panevėžys 1-2 Dainava | 1 Lyga |
| Jul 6, 2017 | Dainava 2-1 Panevėžys | 1 Lyga |
| Oct 23, 2016 | Panevėžys 3-2 Dainava | 1 Lyga |
| Jul 2, 2016 | Dainava 0-4 Panevėžys | 1 Lyga |
How many goals should we expect?
Dainava score 1.5 and concede 0.7 goals per match over their last 15; Panevėžys score 1.9 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Dainava | 1.5 | 0.7 | 6 | 6/15 | 5/15 |
| Panevėžys | 1.9 | 1.8 | 4 | 11/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Dainava | 20 | 10 | 6 | 4 | 33 | 19 | 36 |
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