Trakai II vs Dainava: result 1-2 and analysis
1 LygaRegular Season - 19Kick-off on August 9, 2016 at 03:30 PM (UTC)Trakų naujasis stadionas, Trakai
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What was the result of Trakai II vs Dainava?
Dainava won 1-2 on August 9, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Trakai II have 5 wins, 2 draws and 8 defeats; Dainava have 7, 1 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 6, 2016 | Minija(away) | 1-2 | 1 Lyga |
| Jul 31, 2016 | Šilutė(away) | 3-1 | 1 Lyga |
| Jul 6, 2016 | Džiugas Telšiai(home) | 1-2 | 1 Lyga |
| Jul 1, 2016 | Vilniaus Vytis(away) | 0-2 | 1 Lyga |
| Jun 27, 2016 | Lokomotyvas Radviliškis(home) | 3-0 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 5, 2016 | Vilniaus Vytis(away) | 0-3 | 1 Lyga |
| Jul 31, 2016 | Žalgiris II(home) | 2-1 | 1 Lyga |
| Jul 6, 2016 | Banga(home) | 0-0 | 1 Lyga |
| Jul 2, 2016 | Panevėžys(home) | 0-4 | 1 Lyga |
| Jun 23, 2016 | Hegelmann Litauen(away) | 1-2 | 1 Lyga |
What does the head-to-head say?
In the last meeting: 1 Trakai II win, 0 draws, 0 Dainava wins.
| Date | Score | Competition |
|---|---|---|
| Apr 16, 2016 | Dainava 0-1 Trakai II | 1 Lyga |
How many goals should we expect?
Trakai II score 1.3 and concede 1.5 goals per match over their last 15; Dainava score 1.9 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Trakai II | 1.3 | 1.5 | 4 | 8/15 | 10/15 |
| Dainava | 1.9 | 1.5 | 4 | 7/15 | 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