Kaunas vs Dainava: result 0-5 and analysis
1 LygaRegular Season - 20Kick-off on August 13, 2016 at 02:00 PM (UTC)Nacionalinės futbolo akademijos stadionas, Kaunas
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What was the result of Kaunas vs Dainava?
Dainava won 0-5 on August 13, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kaunas have 2 wins, 1 draw and 12 defeats; Dainava 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 |
|---|---|---|---|
| Aug 10, 2016 | Šilutė(away) | 1-3 | 1 Lyga |
| Aug 6, 2016 | Žalgiris II(home) | 0-7 | 1 Lyga |
| Jul 29, 2016 | Šilas(away) | 0-4 | 1 Lyga |
| Jul 6, 2016 | Palanga(away) | 0-6 | 1 Lyga |
| Jul 2, 2016 | Džiugas Telšiai(home) | 0-4 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 9, 2016 | Trakai II(away) | 2-1 | 1 Lyga |
| Aug 5, 2016 | Vilniaus Vytis(away) | 0-3 | 1 Lyga |
| Jul 31, 2016 | Žalgiris II(home) | 2-1 | 1 Lyga |
| Jul 6, 2016 | Banga(home) | 0-0 | 1 Lyga |
| Jul 2, 2016 | Panevėžys(home) | 0-4 | 1 Lyga |
What does the head-to-head say?
In the last meeting: 0 Kaunas wins, 0 draws, 1 Dainava win.
| Date | Score | Competition |
|---|---|---|
| Apr 24, 2016 | Dainava 6-0 Kaunas | 1 Lyga |
How many goals should we expect?
Kaunas score 0.6 and concede 3.9 goals per match over their last 15; Dainava score 2.1 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kaunas | 0.6 | 3.9 | 2 | 5/15 | 13/15 |
| Dainava | 2.1 | 1.5 | 4 | 8/15 | 12/15 |
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 Kaunas 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