Panevėžys vs Dainava: result 3-2 and analysis
1 LygaRegular Season - 30Kick-off on October 23, 2016 at 11:00 AM (UTC)Žemynos progimnazijos stadionas, Panevėžys
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What was the result of Panevėžys vs Dainava?
Panevėžys won 3-2 on October 23, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Panevėžys have 8 wins, 4 draws and 3 defeats; Dainava have 6, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 19, 2016 | Nevėžis(away) | 1-1 | 1 Lyga |
| Oct 15, 2016 | Trakai II(away) | 4-1 | 1 Lyga |
| Oct 9, 2016 | Kaunas(home) | 7-0 | 1 Lyga |
| Oct 2, 2016 | Palanga(away) | 1-4 | 1 Lyga |
| Sep 24, 2016 | Hegelmann Litauen(home) | 4-0 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 15, 2016 | Hegelmann Litauen(home) | 2-3 | 1 Lyga |
| Oct 9, 2016 | Nevėžis(away) | 1-2 | 1 Lyga |
| Oct 1, 2016 | Minija(home) | 7-3 | 1 Lyga |
| Sep 24, 2016 | Džiugas Telšiai(away) | 0-1 | 1 Lyga |
| Sep 17, 2016 | Lokomotyvas Radviliškis(home) | 1-0 | 1 Lyga |
What does the head-to-head say?
In the last meeting: 1 Panevėžys win, 0 draws, 0 Dainava wins.
| Date | Score | Competition |
|---|---|---|
| Jul 2, 2016 | Dainava 0-4 Panevėžys | 1 Lyga |
How many goals should we expect?
Panevėžys score 2.7 and concede 1.3 goals per match over their last 15; Dainava score 1.6 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Panevėžys | 2.7 | 1.3 | 4 | 11/15 | 11/15 |
| Dainava | 1.6 | 1.7 | 5 | 6/15 | 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 | 27 | 12 | 8 | 7 | 40 | 28 | 44 |
A question about Panevėžys vs Dainava?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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