Nevėžis vs Šilutė: result 0-1 and analysis
1 LygaRegular Season - 14Kick-off on July 28, 2012 at 01:00 PM (UTC)Kedainiu miesto stadionas
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What was the result of Nevėžis vs Šilutė?
Šilutė won 0-1 on July 28, 2012.
What is the recent form of both teams?
Over their last 13 matches in all competitions, Nevėžis have 8 wins, 2 draws and 3 defeats; Šilutė have 4, 5 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 7, 2012 | Polonija(home) | 3-1 | 1 Lyga |
| Jun 30, 2012 | Palanga(away) | 4-1 | 1 Lyga |
| Jun 23, 2012 | Granitas(away) | 2-2 | 1 Lyga |
| Jun 12, 2012 | FK Trakai(home) | 1-2 | 1 Lyga |
| Jun 2, 2012 | Jonava(away) | 2-1 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 7, 2012 | FK Trakai(away) | 1-3 | 1 Lyga |
| Jun 30, 2012 | Jonava(home) | 0-0 | 1 Lyga |
| Jun 27, 2012 | Granitas(away) | 0-0 | 1 Lyga |
| Jun 23, 2012 | Kedainiai(home) | 2-0 | 1 Lyga |
| Jun 16, 2012 | Venta(home) | 4-1 | 1 Lyga |
What does the head-to-head say?
In the last meeting: 0 Nevėžis wins, 1 draw, 0 Šilutė wins.
| Date | Score | Competition |
|---|---|---|
| May 12, 2012 | Šilutė 1-1 Nevėžis | 1 Lyga |
How many goals should we expect?
Nevėžis score 2.5 and concede 1.2 goals per match over their last 13; Šilutė score 1.3 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Nevėžis | 2.5 | 1.2 | 4 | 9/13 | 11/13 |
| Šilutė | 1.3 | 1.0 | 4 | 7/12 | 5/12 |
Over the last 13 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 Nevėžis vs Šilutė?
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