Dainava vs Šilutė: result 2-2 and analysis
1 LygaRegular Season - 3Kick-off on April 9, 2017 at 12:00 PM (UTC)Alytaus m. centrinis stadionas, Marijampolė
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What was the result of Dainava vs Šilutė?
Dainava and Šilutė drew 2-2 on April 9, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Dainava have 7 wins, 2 draws and 6 defeats; Šilutė have 4, 4 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 2, 2017 | Trakai II(away) | 3-1 | 1 Lyga |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 2, 2017 | Palanga(away) | 0-4 | 1 Lyga |
| Mar 26, 2017 | Panevėžys(away) | 1-2 | 1 Lyga |
| Oct 23, 2016 | Kražantė(away) | 3-1 | 1 Lyga |
| Oct 16, 2016 | Nevėžis(away) | 2-2 | 1 Lyga |
| Oct 12, 2016 | Džiugas Telšiai(away) | 4-1 | 1 Lyga |
What does the head-to-head say?
Across the last 2 meetings: 2 Dainava wins, 0 draws, 0 Šilutė wins.
| Date | Score | Competition |
|---|---|---|
| Aug 27, 2016 | Šilutė 0-2 Dainava | 1 Lyga |
| May 7, 2016 | Dainava 7-0 Šilutė | 1 Lyga |
How many goals should we expect?
Dainava score 2.0 and concede 1.7 goals per match over their last 15; Šilutė score 1.5 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Dainava | 2.0 | 1.7 | 4 | 8/15 | 11/15 |
| Šilutė | 1.5 | 1.7 | 0 | 11/15 | 9/15 |
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?
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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