Minija vs MRU: result 2-3 and analysis
1 LygaRegular Season - 30Kick-off on October 3, 2015 at 11:00 AM (UTC)Kretingos dirbtinės dangos aikštė, Kretinga
Full time
What was the result of Minija vs MRU?
MRU won 2-3 on October 3, 2015.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Minija have 4 wins, 3 draws and 8 defeats; MRU have 1, 3 and 11.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 26, 2015 | Šilutė(away) | 0-2 | 1 Lyga |
| Sep 19, 2015 | Auska(away) | 1-3 | 1 Lyga |
| Sep 12, 2015 | Jonava(away) | 1-1 | 1 Lyga |
| Sep 6, 2015 | Lokomotyvas Radviliškis(home) | 0-2 | 1 Lyga |
| Aug 30, 2015 | Palanga(home) | 0-2 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 26, 2015 | FK Panevezys(away) | 2-2 | 1 Lyga |
| Sep 18, 2015 | Kaunas(home) | 1-2 | 1 Lyga |
| Sep 13, 2015 | Trakai II(home) | 0-1 | 1 Lyga |
| Sep 9, 2015 | Žalgiris II(home) | 0-6 | 1 Lyga |
| Aug 30, 2015 | Šilas(away) | 0-1 | 1 Lyga |
What does the head-to-head say?
In the last meeting: 0 Minija wins, 1 draw, 0 MRU wins.
| Date | Score | Competition |
|---|---|---|
| Jun 10, 2015 | MRU 1-1 Minija | 1 Lyga |
How many goals should we expect?
Minija score 1.4 and concede 1.7 goals per match over their last 15; MRU score 0.8 and concede 2.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Minija | 1.4 | 1.7 | 4 | 6/15 | 8/15 |
| MRU | 0.8 | 2.2 | 1 | 9/15 | 9/15 |
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 MRU?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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