Utenis Utena vs Dainava: result 2-2 and analysis
1 LygaRegular Season - 23Kick-off on September 29, 2018 at 10:00 AM (UTC)Utenio Stadionas, Utena
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What was the result of Utenis Utena vs Dainava?
Utenis Utena and Dainava drew 2-2 on September 29, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Utenis Utena have 6 wins, 3 draws and 6 defeats; Dainava have 8, 4 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 22, 2018 | Trakai II(away) | 3-2 | 1 Lyga |
| Sep 16, 2018 | Panevėžys(home) | 0-2 | 1 Lyga |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 25, 2018 | NFA Kaunas(home) | 1-0 | 1 Lyga |
| Sep 21, 2018 | Džiugas Telšiai(away) | 3-0 | 1 Lyga |
| Aug 26, 2018 | Koralas(away) | 3-1 | 1 Lyga |
| Aug 17, 2018 | Žalgiris II(home) | 1-0 | 1 Lyga |
| Aug 10, 2018 | Panevėžys(away) | 1-1 | 1 Lyga |
What does the head-to-head say?
In the last meeting: 1 Utenis Utena win, 0 draws, 0 Dainava wins.
| Date | Score | Competition |
|---|---|---|
| Jun 3, 2018 | Dainava 1-2 Utenis Utena | 1 Lyga |
Last archived meeting: Dainava vs Utenis Utena on Jun 3, 2018
How many goals should we expect?
Utenis Utena score 1.6 and concede 1.4 goals per match over their last 15; Dainava score 1.9 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Utenis Utena | 1.6 | 1.4 | 2 | 12/15 | 10/15 |
| Dainava | 1.9 | 1.1 | 6 | 8/15 | 8/15 |
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 Utenis Utena vs Dainava?
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