Koralas vs Dainava: result 1-3 and analysis
1 LygaRegular Season - 18Kick-off on August 26, 2018 at 02:00 PM (UTC)Klaipėdos centrinio stadiono atsarginė aikštė, Klaipėda
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What was the result of Koralas vs Dainava?
Dainava won 1-3 on August 26, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Koralas have 1 win, 0 draws and 14 defeats; Dainava have 8, 4 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 21, 2018 | NFA Kaunas(home) | 2-1 | 1 Lyga |
| Aug 18, 2018 | Nevėžis(away) | 0-9 | 1 Lyga |
| Aug 10, 2018 | Stumbras II(away) | 0-3 | 1 Lyga |
| Aug 4, 2018 | Banga(home) | 0-3 | 1 Lyga |
| May 22, 2018 | Kupiškis(home) | 0-12 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 17, 2018 | Žalgiris II(home) | 1-0 | 1 Lyga |
| Aug 10, 2018 | Panevėžys(away) | 1-1 | 1 Lyga |
| Aug 2, 2018 | Stumbras II(home) | 2-0 | 1 Lyga |
| Jul 29, 2018 | Trakai II(away) | 2-2 | 1 Lyga |
| Jun 20, 2018 | Kupiškis(away) | 6-2 | 1 Lyga |
What does the head-to-head say?
Across the last 3 meetings: 1 Koralas win, 0 draws, 2 Dainava wins.
| Date | Score | Competition |
|---|---|---|
| Apr 21, 2018 | Dainava 4-0 Koralas | 1 Lyga |
| Aug 8, 2017 | Dainava 0-1 Koralas | 1 Lyga |
| Apr 15, 2017 | Koralas 0-1 Dainava | 1 Lyga |
How many goals should we expect?
Koralas score 0.5 and concede 5.0 goals per match over their last 15; Dainava score 2.0 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Koralas | 0.5 | 5.0 | 0 | 5/15 | 14/15 |
| Dainava | 2.0 | 1.0 | 7 | 7/15 | 8/15 |
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 | 29 | 13 | 8 | 8 | 44 | 29 | 47 |
A question about Koralas 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