Dainava vs Trakai II: result 2-1 and analysis
1 LygaRegular Season - 17Kick-off on July 30, 2017 at 03:00 PM (UTC)Alytaus m. centrinis stadionas, Marijampolė
Full time
What was the result of Dainava vs Trakai II?
Dainava won 2-1 on July 30, 2017.
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; Trakai II have 5, 2 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 26, 2017 | Palanga(away) | 2-0 | 1 Lyga |
| Jul 6, 2017 | Panevėžys(home) | 2-1 | 1 Lyga |
| Jul 1, 2017 | Tauras(away) | 2-2 | 1 Lyga |
| Jun 20, 2017 | Džiugas Telšiai(away) | 1-1 | 1 Lyga |
| Jun 16, 2017 | Vilniaus Vytis(home) | 2-1 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 9, 2017 | Banga(home) | 1-1 | 1 Lyga |
| Jul 5, 2017 | Palanga(home) | 1-3 | 1 Lyga |
| Jul 1, 2017 | Utenis II(away) | 3-4 | 1 Lyga |
| Jun 24, 2017 | Stumbras II(home) | 2-1 | 1 Lyga |
| Jun 20, 2017 | Panevėžys(home) | 1-2 | 1 Lyga |
What does the head-to-head say?
Across the last 3 meetings: 2 Dainava wins, 0 draws, 1 Trakai II win.
| Date | Score | Competition |
|---|---|---|
| Apr 2, 2017 | Trakai II 1-3 Dainava | 1 Lyga |
| Aug 9, 2016 | Trakai II 1-2 Dainava | 1 Lyga |
| Apr 16, 2016 | Dainava 0-1 Trakai II | 1 Lyga |
How many goals should we expect?
Dainava score 2.5 and concede 1.2 goals per match over their last 15; Trakai II score 1.1 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Dainava | 2.5 | 1.2 | 4 | 11/15 | 11/15 |
| Trakai II | 1.1 | 1.7 | 2 | 9/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 8 | Dainava | 26 | 11 | 8 | 7 | 37 | 27 | 41 |
A question about Dainava vs Trakai II?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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