Panevėžys vs Dainava: result 1-2 and analysis
1 LygaRegular Season - 30Kick-off on October 21, 2017 at 11:00 AM (UTC)Žemynos progimnazijos stadionas, Panevėžys
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What was the result of Panevėžys vs Dainava?
Dainava won 1-2 on October 21, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Panevėžys have 6 wins, 2 draws and 7 defeats; Dainava have 7, 4 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 15, 2017 | Palanga(home) | 3-4 | 1 Lyga |
| Oct 6, 2017 | Trakai II(home) | 2-1 | 1 Lyga |
| Oct 1, 2017 | Tauras(away) | 2-1 | 1 Lyga |
| Sep 23, 2017 | Džiugas Telšiai(away) | 5-2 | 1 Lyga |
| Sep 15, 2017 | Vilniaus Vytis(away) | 2-4 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Sep 23, 2017 | Žalgiris II(away) | 1-1 | 1 Lyga |
| Sep 10, 2017 | Banga(home) | 0-0 | 1 Lyga |
What does the head-to-head say?
Across the last 3 meetings: 2 Panevėžys win(s), 0 draw(s), 1 Dainava win(s).
| Date | Score | Competition |
|---|---|---|
| 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?
Panevėžys score 1.9 and concede 2.0 goals per match over their last 15; Dainava score 1.5 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Panevėžys | 1.9 | 2.0 | 2 | 12/15 | 11/15 |
| Dainava | 1.5 | 0.7 | 6 | 6/15 | 6/15 |
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