Dainava vs Utenis Utena: result 1-2 and analysis
1 LygaMatchday 10Kick-off on June 3, 2018 at 02:00 PM (UTC)Alytaus m. centrinis stadionas, Marijampolė
Full time
What was the result of Dainava vs Utenis Utena?
Utenis Utena won 1-2 on June 3, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Dainava have 9 wins, 4 draws and 2 defeats; Utenis Utena have 6, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 24, 2018 | Džiugas Telšiai(home) | 0-1 | 1 Lyga |
| May 18, 2018 | Banga(away) | 1-0 | 1 Lyga |
| May 11, 2018 | NFA Kaunas(away) | 2-2 | 1 Lyga |
| May 4, 2018 | Nevėžis(away) | 2-0 | 1 Lyga |
| Apr 21, 2018 | Koralas(home) | 4-0 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 22, 2018 | Trakai II(home) | 1-1 | 1 Lyga |
| May 19, 2018 | Panevėžys(away) | 1-2 | 1 Lyga |
| May 13, 2018 | Žalgiris II(away) | 1-0 | 1 Lyga |
| May 4, 2018 | Stumbras II(away) | 1-0 | 1 Lyga |
| Apr 22, 2018 | Kupiškis(home) | 6-1 | 1 Lyga |
How many goals should we expect?
Dainava score 1.7 and concede 0.5 goals per match over their last 15; Utenis Utena score 1.7 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Dainava | 1.7 | 0.5 | 9 | 5/15 | 6/15 |
| Utenis Utena | 1.7 | 1.5 | 5 | 9/15 | 11/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | Dainava | 30 | 13 | 9 | 8 | 45 | 30 | 48 |
A question about Dainava vs Utenis Utena?
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