Dainava vs Panevėžys: result 2-1 and analysis
1 LygaRegular Season - 15Kick-off on July 6, 2017 at 01:00 PM (UTC)Alytaus m. centrinis stadionas, Marijampolė
Full time
What was the result of Dainava vs Panevėžys?
Dainava won 2-1 on July 6, 2017.
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 5, 6 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 1, 2017 | Tauras(away) | 2-2 | 1 Lyga |
| Jun 20, 2017 | Džiugas Telšiai(away) | 1-1 | 1 Lyga |
| Jun 16, 2017 | Vilniaus Vytis(home) | 2-1 | 1 Lyga |
| Jun 11, 2017 | Žalgiris II(home) | 2-0 | 1 Lyga |
| May 31, 2017 | Banga(away) | 1-2 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 1, 2017 | Palanga(away) | 0-1 | 1 Lyga |
| Jun 20, 2017 | Trakai II(away) | 2-1 | 1 Lyga |
| Jun 16, 2017 | Tauras(home) | 2-0 | 1 Lyga |
| Jun 9, 2017 | Džiugas Telšiai(home) | 0-2 | 1 Lyga |
| Jun 4, 2017 | Vilniaus Vytis(home) | 1-1 | 1 Lyga |
What does the head-to-head say?
Across the last 2 meetings: 0 Dainava wins, 0 draws, 2 Panevėžys wins.
| Date | Score | Competition |
|---|---|---|
| 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 2.5 and concede 1.5 goals per match over their last 15; Panevėžys score 1.3 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Dainava | 2.5 | 1.5 | 3 | 12/15 | 12/15 |
| Panevėžys | 1.3 | 1.1 | 3 | 9/15 | 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 | 27 | 12 | 8 | 7 | 40 | 28 | 44 |
A question about Dainava vs Panevėžys?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy