Dainava vs Šilutė: result 7-0 and analysis
1 LygaRegular Season - 7Kick-off on May 7, 2016 at 12:00 PM (UTC)Alytaus m. centrinis stadionas, Marijampolė
Full time
What was the result of Dainava vs Šilutė?
Dainava won 7-0 on May 7, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Dainava have 2 wins, 3 draws and 10 defeats; Šilutė have 6, 1 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 30, 2016 | Palanga(away) | 2-4 | 1 Lyga |
| Apr 24, 2016 | Kaunas(home) | 6-0 | 1 Lyga |
| Apr 16, 2016 | Trakai II(home) | 0-1 | 1 Lyga |
| Apr 10, 2016 | Vilniaus Vytis(home) | 0-1 | 1 Lyga |
| Apr 3, 2016 | Žalgiris II(away) | 1-1 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 1, 2016 | Džiugas Telšiai(home) | 1-2 | 1 Lyga |
| Apr 23, 2016 | Žalgiris II(home) | 0-2 | 1 Lyga |
| Apr 17, 2016 | Kaunas(away) | 3-0 | 1 Lyga |
| Apr 10, 2016 | Palanga(home) | 2-2 | 1 Lyga |
| Apr 2, 2016 | Trakai II(away) | 0-2 | 1 Lyga |
How many goals should we expect?
Dainava score 0.9 and concede 1.7 goals per match over their last 15; Šilutė score 1.9 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Dainava | 0.9 | 1.7 | 3 | 4/15 | 5/15 |
| Šilutė | 1.9 | 1.7 | 3 | 6/15 | 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 Šilutė?
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