Dainava vs Nevėžis: result 0-1 and analysis
1 LygaRegular Season - 20Kick-off on August 11, 2017 at 04:00 PM (UTC)Alytaus m. centrinis stadionas, Marijampolė
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What was the result of Dainava vs Nevėžis?
Nevėžis won 0-1 on August 11, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Dainava have 8 wins, 4 draws and 3 defeats; Nevėžis have 7, 4 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 8, 2017 | Koralas(home) | 0-1 | 1 Lyga |
| Aug 5, 2017 | Šilutė(away) | 1-1 | 1 Lyga |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 8, 2017 | Palanga(away) | 1-1 | 1 Lyga |
| Aug 5, 2017 | Panevėžys(away) | 3-1 | 1 Lyga |
| Jul 29, 2017 | Tauras(home) | 2-0 | 1 Lyga |
| Jul 9, 2017 | Džiugas Telšiai(home) | 1-2 | 1 Lyga |
| Jul 6, 2017 | Vilniaus Vytis(home) | 0-0 | 1 Lyga |
What does the head-to-head say?
Across the last 3 meetings: 0 Dainava wins, 1 draw, 2 Nevėžis wins.
| Date | Score | Competition |
|---|---|---|
| Apr 21, 2017 | Nevėžis 2-2 Dainava | 1 Lyga |
| Oct 9, 2016 | Nevėžis 2-1 Dainava | 1 Lyga |
| Jun 17, 2016 | Dainava 0-2 Nevėžis | 1 Lyga |
How many goals should we expect?
Dainava score 2.2 and concede 1.1 goals per match over their last 15; Nevėžis score 1.7 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Dainava | 2.2 | 1.1 | 4 | 10/15 | 9/15 |
| Nevėžis | 1.7 | 1.0 | 4 | 8/15 | 7/15 |
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 Nevėžis?
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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