Šilutė vs Dainava: result 1-1 and analysis
1 LygaRegular Season - 18Kick-off on August 5, 2017 at 01:00 PM (UTC)Šilutės miesto stadionas, Šilutė
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What was the result of Šilutė vs Dainava?
Šilutė and Dainava drew 1-1 on August 5, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Šilutė have 5 wins, 3 draws and 7 defeats; Dainava have 9, 4 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 30, 2017 | Palanga(home) | 2-3 | 1 Lyga |
| Jul 9, 2017 | Panevėžys(home) | 2-2 | 1 Lyga |
| Jul 6, 2017 | Tauras(home) | 2-0 | 1 Lyga |
| Jul 1, 2017 | Džiugas Telšiai(away) | 1-5 | 1 Lyga |
| Jun 22, 2017 | Vilniaus Vytis(away) | 1-5 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 30, 2017 | Trakai II(home) | 2-1 | 1 Lyga |
| 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 |
What does the head-to-head say?
Across the last 3 meetings: 0 Šilutė wins, 1 draw, 2 Dainava wins.
| Date | Score | Competition |
|---|---|---|
| Apr 9, 2017 | Dainava 2-2 Šilutė | 1 Lyga |
| Aug 27, 2016 | Šilutė 0-2 Dainava | 1 Lyga |
| May 7, 2016 | Dainava 7-0 Šilutė | 1 Lyga |
How many goals should we expect?
Šilutė score 1.6 and concede 1.9 goals per match over their last 15; Dainava score 2.5 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Šilutė | 1.6 | 1.9 | 4 | 7/15 | 8/15 |
| Dainava | 2.5 | 1.2 | 4 | 11/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 8 | Dainava | 26 | 11 | 8 | 7 | 37 | 27 | 41 |
A question about Šilutė 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