Kražantė vs Minija: result 4-0 and analysis
1 LygaRegular Season - 20Kick-off on August 14, 2016 at 02:00 PM (UTC)Kelmės miestas stadionas, Kelmė
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What was the result of Kražantė vs Minija?
Kražantė won 4-0 on August 14, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kražantė have 5 wins, 2 draws and 8 defeats; Minija have 2, 1 and 12.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 9, 2016 | Panevėžys(away) | 3-2 | 1 Lyga |
| Aug 5, 2016 | Hegelmann Litauen(home) | 1-5 | 1 Lyga |
| Jul 29, 2016 | Banga(away) | 2-6 | 1 Lyga |
| Jul 2, 2016 | Šilutė(away) | 3-2 | 1 Lyga |
| Jun 25, 2016 | Žalgiris II(away) | 0-3 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 10, 2016 | Banga(home) | 0-6 | 1 Lyga |
| Aug 6, 2016 | Trakai II(home) | 2-1 | 1 Lyga |
| Jul 30, 2016 | Panevėžys(home) | 2-4 | 1 Lyga |
| Jul 5, 2016 | Hegelmann Litauen(home) | 1-2 | 1 Lyga |
| Jul 2, 2016 | Lokomotyvas Radviliškis(home) | 2-1 | 1 Lyga |
What does the head-to-head say?
Across the last 3 meetings: 3 Kražantė wins, 0 draws, 0 Minija wins.
| Date | Score | Competition |
|---|---|---|
| Apr 23, 2016 | Minija 0-1 Kražantė | 1 Lyga |
| Oct 10, 2015 | Minija 3-5 Kražantė | 1 Lyga |
| Jun 20, 2015 | Kražantė 3-2 Minija | 1 Lyga |
How many goals should we expect?
Kražantė score 1.8 and concede 2.9 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 |
|---|---|---|---|---|---|
| Kražantė | 1.8 | 2.9 | 1 | 12/15 | 12/15 |
| Minija | 0.9 | 3.3 | 0 | 9/15 | 12/15 |
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 | 26 | 22 | 1 | 3 | 70 | 16 | 67 |
A question about Kražantė 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