Nevėžis vs Minija: result 4-1 and analysis
1 LygaRegular Season - 8Kick-off on May 14, 2016 at 03:00 PM (UTC)Kedainiu miesto stadionas
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What was the result of Nevėžis vs Minija?
Nevėžis won 4-1 on May 14, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Nevėžis have 9 wins, 3 draws and 3 defeats; Minija have 1, 1 and 13.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 7, 2016 | Žalgiris II(away) | 5-4 | 1 Lyga |
| Apr 30, 2016 | Kražantė(home) | 5-1 | 1 Lyga |
| Apr 24, 2016 | Palanga(away) | 4-4 | 1 Lyga |
| Apr 16, 2016 | Vilniaus Vytis(home) | 0-1 | 1 Lyga |
| Apr 9, 2016 | Panevėžys(away) | 2-2 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 7, 2016 | Šilas(home) | 1-7 | 1 Lyga |
| May 1, 2016 | Žalgiris II(home) | 0-3 | 1 Lyga |
| Apr 23, 2016 | Kražantė(home) | 0-1 | 1 Lyga |
| Apr 15, 2016 | Banga(away) | 0-7 | 1 Lyga |
| Apr 9, 2016 | Trakai II(away) | 1-0 | 1 Lyga |
What does the head-to-head say?
Across the last 2 meetings: 1 Nevėžis win, 0 draws, 1 Minija win.
| Date | Score | Competition |
|---|---|---|
| Jul 6, 2015 | Minija 6-0 Nevėžis | 1 Lyga |
| Mar 28, 2015 | Nevėžis 3-0 Minija | 1 Lyga |
How many goals should we expect?
Nevėžis score 2.6 and concede 1.9 goals per match over their last 15; Minija score 0.9 and concede 3.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Nevėžis | 2.6 | 1.9 | 2 | 12/15 | 12/15 |
| Minija | 0.9 | 3.3 | 1 | 7/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 1 | Minija | 25 | 22 | 1 | 2 | 68 | 13 | 67 |
A question about Nevėžis vs Minija?
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