Kražantė vs Palanga: result 0-2 and analysis
1 LygaRegular Season - 24Kick-off on September 11, 2016 at 11:00 AM (UTC)Kelmės miestas stadionas, Kelmė
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What was the result of Kražantė vs Palanga?
Palanga won 0-2 on September 11, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kražantė have 6 wins, 3 draws and 6 defeats; Palanga have 10, 4 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 6, 2016 | Nevėžis(home) | 3-2 | 1 Lyga |
| Sep 3, 2016 | Dainava(away) | 0-0 | 1 Lyga |
| Aug 28, 2016 | Džiugas Telšiai(away) | 1-2 | 1 Lyga |
| Aug 24, 2016 | Šilas(away) | 1-5 | 1 Lyga |
| Aug 14, 2016 | Minija(home) | 4-0 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 4, 2016 | Trakai II(away) | 6-0 | 1 Lyga |
| Aug 28, 2016 | Banga(home) | 0-0 | 1 Lyga |
| Aug 20, 2016 | Dainava(away) | 2-2 | 1 Lyga |
| Aug 13, 2016 | Nevėžis(away) | 2-0 | 1 Lyga |
| Aug 9, 2016 | Hegelmann Litauen(home) | 4-0 | 1 Lyga |
What does the head-to-head say?
Across the last 3 meetings: 0 Kražantė wins, 1 draw, 2 Palanga wins.
| Date | Score | Competition |
|---|---|---|
| May 22, 2016 | Palanga 1-1 Kražantė | 1 Lyga |
| Jul 28, 2015 | Kražantė 1-3 Palanga | 1 Lyga |
| Apr 4, 2015 | Palanga 7-1 Kražantė | 1 Lyga |
How many goals should we expect?
Kražantė score 2.0 and concede 2.5 goals per match over their last 15; Palanga score 3.5 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kražantė | 2.0 | 2.5 | 2 | 11/15 | 12/15 |
| Palanga | 3.5 | 0.8 | 8 | 7/15 | 12/15 |
Over the last 15 matches in all competitions.
A question about Kražantė vs Palanga?
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