Minija vs Kaunas: result 1-2 and analysis
1 LygaRegular Season - 26Kick-off on September 24, 2016 at 01:00 PM (UTC)Kretingos dirbtinės dangos aikštė, Kretinga
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What was the result of Minija vs Kaunas?
Kaunas won 1-2 on September 24, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Minija have 2 wins, 1 draw and 12 defeats; Kaunas have 1, 0 and 14.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 18, 2016 | Palanga(away) | 1-11 | 1 Lyga |
| Sep 11, 2016 | Šilutė(away) | 1-3 | 1 Lyga |
| Sep 3, 2016 | Nevėžis(home) | 1-3 | 1 Lyga |
| Aug 27, 2016 | Šilas(away) | 0-8 | 1 Lyga |
| Aug 21, 2016 | Žalgiris II(away) | 1-2 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 17, 2016 | Kražantė(home) | 4-3 | 1 Lyga |
| Sep 9, 2016 | Nevėžis(home) | 2-4 | 1 Lyga |
| Sep 6, 2016 | Vilniaus Vytis(away) | 0-10 | 1 Lyga |
| Aug 27, 2016 | Lokomotyvas Radviliškis(away) | 2-6 | 1 Lyga |
| Aug 20, 2016 | Trakai II(home) | 1-5 | 1 Lyga |
What does the head-to-head say?
Across the last 3 meetings: 0 Minija wins, 1 draw, 2 Kaunas wins.
| Date | Score | Competition |
|---|---|---|
| Jun 4, 2016 | Kaunas 2-2 Minija | 1 Lyga |
| Jul 28, 2015 | Minija 0-1 Kaunas | 1 Lyga |
| Apr 3, 2015 | Kaunas 2-1 Minija | 1 Lyga |
How many goals should we expect?
Minija score 0.9 and concede 3.9 goals per match over their last 15; Kaunas score 0.8 and concede 5.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Minija | 0.9 | 3.9 | 0 | 10/15 | 14/15 |
| Kaunas | 0.8 | 5.0 | 0 | 7/15 | 15/15 |
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 Minija vs Kaunas?
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