Dainava vs Stumbras II: prediction and stats
1 LygaRegular Season - 7Kick-off on May 13, 2019 at 12:00 AM (UTC)Marijampolės futbolo arenos maniežas, Marijampolė
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, Dainava have 12 wins, 2 draws and 1 defeats; Stumbras II have 6, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 8, 2019 | Šiauliai(away) | 3-1 | 1 Lyga |
| May 5, 2019 | Pakruojis(away) | 5-0 | 1 Lyga |
| Apr 19, 2019 | Hegelmann Litauen(away) | 2-1 | 1 Lyga |
| Apr 14, 2019 | BFA(away) | 1-2 | 1 Lyga |
| Apr 5, 2019 | Vilniaus Vytis(away) | 3-2 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 20, 2018 | Banga(away) | 0-2 | 1 Lyga |
| Oct 17, 2018 | Džiugas Telšiai(away) | 1-1 | 1 Lyga |
| Oct 15, 2018 | NFA Kaunas(away) | 1-3 | 1 Lyga |
| Oct 13, 2018 | Pakruojis(home) | 4-0 | 1 Lyga |
| Oct 10, 2018 | Žalgiris II(home) | 1-0 | 1 Lyga |
What does the head-to-head say?
Across the last 4 meetings: 2 Dainava win(s), 1 draw(s), 1 Stumbras II win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 2, 2018 | Dainava 2-0 Stumbras II | 1 Lyga |
| Apr 2, 2018 | Stumbras II 1-1 Dainava | 1 Lyga |
| Aug 19, 2017 | Stumbras II 0-1 Dainava | 1 Lyga |
| May 5, 2017 | Dainava 1-3 Stumbras II | 1 Lyga |
Last archived meeting: Dainava vs Stumbras II on Aug 2, 2018
How many goals should we expect?
Dainava score 2.8 and concede 0.9 goals per match over their last 15; Stumbras II score 1.6 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Dainava | 2.8 | 0.9 | 5 | 10/15 | 13/15 |
| Stumbras II | 1.6 | 1.7 | 3 | 7/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 6 | Dainava | 20 | 10 | 6 | 4 | 33 | 19 | 36 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy