Granitas vs Nevėžis: result 0-1 and analysis
1 LygaRegular Season - 20Kick-off on September 9, 2012 at 09:00 AM (UTC)Daugeliu stadionas
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What was the result of Granitas vs Nevėžis?
Nevėžis won 0-1 on September 9, 2012.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Granitas have 7 wins, 5 draws and 3 defeats; Nevėžis have 8, 3 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 1, 2012 | FK Trakai(away) | 2-3 | 1 Lyga |
| Aug 25, 2012 | Jonava(home) | 1-1 | 1 Lyga |
| Aug 18, 2012 | Kedainiai(home) | 5-0 | 1 Lyga |
| Aug 11, 2012 | Venta(home) | 1-0 | 1 Lyga |
| Aug 4, 2012 | Šilutė(away) | 2-0 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 25, 2012 | FK Trakai(away) | 1-0 | 1 Lyga |
| Aug 18, 2012 | Jonava(home) | 0-0 | 1 Lyga |
| Aug 11, 2012 | Kedainiai(away) | 6-1 | 1 Lyga |
| Aug 4, 2012 | Venta(away) | 0-3 | 1 Lyga |
| Jul 28, 2012 | Šilutė(home) | 0-1 | 1 Lyga |
What does the head-to-head say?
Across the last 2 meetings: 1 Granitas win, 1 draw, 0 Nevėžis wins.
| Date | Score | Competition |
|---|---|---|
| Jun 23, 2012 | Granitas 2-2 Nevėžis | 1 Lyga |
| Apr 22, 2012 | Nevėžis 2-3 Granitas | 1 Lyga |
How many goals should we expect?
Granitas score 1.8 and concede 1.1 goals per match over their last 15; Nevėžis score 2.1 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Granitas | 1.8 | 1.1 | 6 | 9/15 | 9/15 |
| Nevėžis | 2.1 | 1.0 | 5 | 8/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 14 | Nevėžis | 30 | 7 | 5 | 18 | 32 | 58 | 26 |
A question about Granitas vs Nevėžis?
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