Trakai II vs Dainava: result 1-3 and analysis
1 LygaRegular Season - 2Kick-off on April 2, 2017 at 11:00 AM (UTC)Vilniaus LFF stadionas, Vilnius
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What was the result of Trakai II vs Dainava?
Dainava won 1-3 on April 2, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Trakai II have 4 wins, 1 draw and 10 defeats; Dainava have 7, 2 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 24, 2017 | Banga(away) | 0-2 | 1 Lyga |
| Oct 23, 2016 | Vilniaus Vytis(home) | 1-4 | 1 Lyga |
| Oct 15, 2016 | Panevėžys(home) | 1-4 | 1 Lyga |
| Oct 9, 2016 | Kražantė(home) | 6-2 | 1 Lyga |
| Oct 1, 2016 | Nevėžis(home) | 0-0 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 25, 2017 | Palanga(home) | 3-1 | 1 Lyga |
| Oct 23, 2016 | Panevėžys(away) | 2-3 | 1 Lyga |
| Oct 15, 2016 | Hegelmann Litauen(home) | 2-3 | 1 Lyga |
| Oct 9, 2016 | Nevėžis(away) | 1-2 | 1 Lyga |
| Oct 1, 2016 | Minija(home) | 7-3 | 1 Lyga |
What does the head-to-head say?
Across the last 2 meetings: 1 Trakai II win, 0 draws, 1 Dainava win.
| Date | Score | Competition |
|---|---|---|
| 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?
Trakai II score 1.7 and concede 2.5 goals per match over their last 15; Dainava score 1.9 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Trakai II | 1.7 | 2.5 | 2 | 10/15 | 11/15 |
| Dainava | 1.9 | 1.7 | 4 | 8/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 6 | Dainava | 27 | 12 | 8 | 7 | 40 | 28 | 44 |
A question about Trakai II 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