Nevėžis vs Dainava: result 0-2 and analysis
1 LygaRegular Season - 6Kick-off on May 4, 2018 at 03:30 PM (UTC)Kedainiu miesto stadionas
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What was the result of Nevėžis vs Dainava?
Dainava won 0-2 on May 4, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Nevėžis have 8 wins, 2 draws and 5 defeats; Dainava have 9, 3 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 21, 2018 | Banga(home) | 1-0 | 1 Lyga |
| Apr 13, 2018 | Koralas(away) | 7-0 | 1 Lyga |
| Apr 6, 2018 | Pakruojis(home) | 0-1 | 1 Lyga |
| Mar 31, 2018 | Kupiškis(home) | 3-0 | 1 Lyga |
| Mar 25, 2018 | Utenis Utena(home) | 2-2 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 21, 2018 | Koralas(home) | 4-0 | 1 Lyga |
| Apr 17, 2018 | Trakai II(home) | 1-0 | 1 Lyga |
| Apr 13, 2018 | Žalgiris II(away) | 3-0 | 1 Lyga |
| Apr 8, 2018 | Panevėžys(home) | 1-0 | 1 Lyga |
| Apr 2, 2018 | Stumbras II(away) | 1-1 | 1 Lyga |
What does the head-to-head say?
Across the last 4 meetings: 3 Nevėžis wins, 1 draw, 0 Dainava wins.
| Date | Score | Competition |
|---|---|---|
| Aug 11, 2017 | Dainava 0-1 Nevėžis | 1 Lyga |
| 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?
Nevėžis score 1.8 and concede 0.9 goals per match over their last 15; Dainava score 1.7 and concede 0.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Nevėžis | 1.8 | 0.9 | 6 | 6/15 | 7/15 |
| Dainava | 1.7 | 0.5 | 9 | 4/15 | 6/15 |
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 Nevėžis 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