Venta vs Nevėžis: result 0-1 and analysis
1 LygaRegular Season - 24Kick-off on October 6, 2012 at 12:00 PM (UTC)Daugeliu stadionas
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What was the result of Venta vs Nevėžis?
Nevėžis won 0-1 on October 6, 2012.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Venta have 4 wins, 1 draw and 10 defeats; Nevėžis 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 |
|---|---|---|---|
| Sep 29, 2012 | FK Trakai(away) | 1-4 | 1 Lyga |
| Sep 22, 2012 | Jonava(home) | 0-3 | 1 Lyga |
| Sep 16, 2012 | Kedainiai(away) | 3-3 | 1 Lyga |
| Sep 8, 2012 | NFA Kaunas(home) | 3-1 | 1 Lyga |
| Sep 1, 2012 | Šilutė(home) | 2-1 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 2, 2012 | Šilutė(home) | 3-1 | 1 Lyga |
| Sep 23, 2012 | Polonija(away) | 3-0 | 1 Lyga |
| Sep 19, 2012 | NFA Kaunas(home) | 3-0 | 1 Lyga |
| Sep 15, 2012 | Palanga(home) | 1-1 | 1 Lyga |
| Sep 9, 2012 | Granitas(away) | 1-0 | 1 Lyga |
What does the head-to-head say?
Across the last 2 meetings: 1 Venta win, 0 draws, 1 Nevėžis win.
| Date | Score | Competition |
|---|---|---|
| Aug 4, 2012 | Venta 3-0 Nevėžis | 1 Lyga |
| May 19, 2012 | Nevėžis 4-0 Venta | 1 Lyga |
How many goals should we expect?
Venta score 1.7 and concede 2.5 goals per match over their last 15; Nevėžis score 2.0 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Venta | 1.7 | 2.5 | 2 | 8/15 | 12/15 |
| Nevėžis | 2.0 | 0.9 | 5 | 8/15 | 10/15 |
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 Venta 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