Šilas vs Nevėžis: result 0-0 and analysis
1 LygaRegular Season - 12Kick-off on June 28, 2013 at 04:00 PM (UTC)Prienų stadionas, Prienai
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What was the result of Šilas vs Nevėžis?
Šilas and Nevėžis drew 0-0 on June 28, 2013.
What is the recent form of both teams?
Over their last 11 matches in all competitions, Šilas have 5 wins, 3 draws and 3 defeats; Nevėžis have 11, 2 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 22, 2013 | FK Trakai(away) | 2-1 | 1 Lyga |
| Jun 16, 2013 | Polonija(home) | 4-0 | 1 Lyga |
| Jun 6, 2013 | Šilutė(away) | 0-1 | 1 Lyga |
| Jun 1, 2013 | Palanga(home) | 1-0 | 1 Lyga |
| May 27, 2013 | Žalgirietis(away) | 0-0 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 21, 2013 | Kauno Žalgiris(away) | 2-2 | 1 Lyga |
| Jun 15, 2013 | Jonava(away) | 0-2 | 1 Lyga |
| Jun 9, 2013 | Baltija(home) | 4-1 | 1 Lyga |
| Jun 5, 2013 | Polonija(home) | 3-1 | 1 Lyga |
| Jun 1, 2013 | FK Trakai(home) | 0-1 | 1 Lyga |
What does the head-to-head say?
In the last meeting: 0 Šilas wins, 0 draws, 1 Nevėžis win.
| Date | Score | Competition |
|---|---|---|
| Apr 13, 2013 | Nevėžis 4-1 Šilas | 1 Lyga |
How many goals should we expect?
Šilas score 1.4 and concede 1.3 goals per match over their last 11; Nevėžis score 2.4 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Šilas | 1.4 | 1.3 | 4 | 6/11 | 6/11 |
| Nevėžis | 2.4 | 0.7 | 7 | 6/15 | 7/15 |
Over the last 11 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 Šilas 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