Utenis Utena vs Panevėžys: result 0-2 and analysis
1 LygaRegular Season - 21Kick-off on September 16, 2018 at 12:00 PM (UTC)Utenio Stadionas, Utena
Full time
What was the result of Utenis Utena vs Panevėžys?
Panevėžys won 0-2 on September 16, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Utenis Utena have 7 wins, 3 draws and 5 defeats; Panevėžys have 12, 2 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 12, 2018 | Stumbras II(home) | 1-1 | 1 Lyga |
| Sep 8, 2018 | Žalgiris II(home) | 1-1 | 1 Lyga |
| Aug 25, 2018 | Kupiškis(away) | 3-1 | 1 Lyga |
| Aug 18, 2018 | Banga(home) | 2-3 | 1 Lyga |
| Aug 11, 2018 | Vilniaus Vytis(home) | 3-0 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 8, 2018 | Koralas(home) | 10-0 | 1 Lyga |
| Aug 26, 2018 | Trakai II(away) | 2-1 | 1 Lyga |
| Aug 19, 2018 | Vilniaus Vytis(home) | 4-1 | 1 Lyga |
| Aug 10, 2018 | Dainava(home) | 1-1 | 1 Lyga |
| Aug 3, 2018 | Žalgiris II(away) | 6-0 | 1 Lyga |
What does the head-to-head say?
In the last meeting: 0 Utenis Utena wins, 0 draws, 1 Panevėžys win.
| Date | Score | Competition |
|---|---|---|
| May 19, 2018 | Panevėžys 2-1 Utenis Utena | 1 Lyga |
Last archived meeting: Panevėžys vs Utenis Utena on May 19, 2018
How many goals should we expect?
Utenis Utena score 1.9 and concede 1.2 goals per match over their last 15; Panevėžys score 3.8 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Utenis Utena | 1.9 | 1.2 | 3 | 12/15 | 10/15 |
| Panevėžys | 3.8 | 0.9 | 5 | 9/15 | 12/15 |
Over the last 15 matches in all competitions.
A question about Utenis Utena vs Panevėžys?
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