Utenis II vs Palanga: result 1-3 and analysis
1 LygaRegular Season - 22Kick-off on August 26, 2017 at 12:00 PM (UTC)Utenio Stadionas, Utena
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What was the result of Utenis II vs Palanga?
Palanga won 1-3 on August 26, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Utenis II have 2 wins, 1 draw and 12 defeats; Palanga have 9, 3 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 18, 2017 | Panevėžys(away) | 0-1 | 1 Lyga |
| Aug 12, 2017 | Tauras(home) | 2-5 | 1 Lyga |
| Aug 8, 2017 | Džiugas Telšiai(away) | 0-1 | 1 Lyga |
| Aug 4, 2017 | Vilniaus Vytis(home) | 1-2 | 1 Lyga |
| Jul 29, 2017 | Žalgiris II(home) | 1-0 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 19, 2017 | Pakruojis(home) | 3-1 | 1 Lyga |
| Aug 11, 2017 | Stumbras II(home) | 2-1 | 1 Lyga |
| Aug 8, 2017 | Nevėžis(home) | 1-1 | 1 Lyga |
| Aug 5, 2017 | Koralas(home) | 1-2 | 1 Lyga |
| Jul 30, 2017 | Šilutė(away) | 3-2 | 1 Lyga |
What does the head-to-head say?
In the last meeting: 0 Utenis II wins, 0 draws, 1 Palanga win.
| Date | Score | Competition |
|---|---|---|
| May 13, 2017 | Palanga 2-1 Utenis II | 1 Lyga |
How many goals should we expect?
Utenis II score 0.9 and concede 3.5 goals per match over their last 15; Palanga score 1.7 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Utenis II | 0.9 | 3.5 | 1 | 6/15 | 11/15 |
| Palanga | 1.7 | 1.3 | 2 | 12/15 | 10/15 |
Over the last 15 matches in all competitions.
A question about Utenis II 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