Palanga vs Koralas: result 1-2 and analysis
1 LygaRegular Season - 18Kick-off on August 5, 2017 at 02:00 PM (UTC)Centrinis miesto stadionas, Palanga
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What was the result of Palanga vs Koralas?
Koralas won 1-2 on August 5, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Palanga have 10 wins, 2 draws and 3 defeats; Koralas have 6, 2 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 30, 2017 | Šilutė(away) | 3-2 | 1 Lyga |
| Jul 26, 2017 | Dainava(home) | 0-2 | 1 Lyga |
| Jul 5, 2017 | Trakai II(away) | 3-1 | 1 Lyga |
| Jul 1, 2017 | Panevėžys(home) | 1-0 | 1 Lyga |
| Jun 20, 2017 | Tauras(away) | 3-2 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 29, 2017 | Panevėžys(home) | 2-1 | 1 Lyga |
| Jul 26, 2017 | Žalgiris II(away) | 2-1 | 1 Lyga |
| Jul 9, 2017 | Tauras(home) | 4-0 | 1 Lyga |
| Jul 6, 2017 | Džiugas Telšiai(away) | 0-1 | 1 Lyga |
| Jun 30, 2017 | Vilniaus Vytis(away) | 1-1 | 1 Lyga |
What does the head-to-head say?
In the last meeting: 1 Palanga win, 0 draws, 0 Koralas wins.
| Date | Score | Competition |
|---|---|---|
| Apr 9, 2017 | Koralas 0-3 Palanga | 1 Lyga |
How many goals should we expect?
Palanga score 2.0 and concede 1.1 goals per match over their last 15; Koralas score 1.3 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Palanga | 2.0 | 1.1 | 5 | 9/15 | 11/15 |
| Koralas | 1.3 | 1.5 | 3 | 7/15 | 9/15 |
Over the last 15 matches in all competitions.
A question about Palanga vs Koralas?
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