Stumbras II vs Dainava: result 0-1 and analysis
1 LygaRegular Season - 21Kick-off on August 19, 2017 at 12:00 PM (UTC)Nacionalinės futbolo akademijos stadionas, Kaunas
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What was the result of Stumbras II vs Dainava?
Dainava won 0-1 on August 19, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Stumbras II have 3 wins, 5 draws and 7 defeats; Dainava have 7, 4 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 15, 2017 | Koralas(home) | 3-3 | 1 Lyga |
| Aug 11, 2017 | Palanga(away) | 1-2 | 1 Lyga |
| Aug 8, 2017 | Panevėžys(away) | 1-1 | 1 Lyga |
| Aug 5, 2017 | Tauras(home) | 2-2 | 1 Lyga |
| Jul 30, 2017 | Džiugas Telšiai(away) | 0-0 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 11, 2017 | Nevėžis(home) | 0-1 | 1 Lyga |
| Aug 8, 2017 | Koralas(home) | 0-1 | 1 Lyga |
| Aug 5, 2017 | Šilutė(away) | 1-1 | 1 Lyga |
| Jul 30, 2017 | Trakai II(home) | 2-1 | 1 Lyga |
| Jul 26, 2017 | Palanga(away) | 2-0 | 1 Lyga |
What does the head-to-head say?
In the last meeting: 1 Stumbras II win, 0 draws, 0 Dainava wins.
| Date | Score | Competition |
|---|---|---|
| May 5, 2017 | Dainava 1-3 Stumbras II | 1 Lyga |
Last archived meeting: Dainava vs Stumbras II on May 5, 2017
How many goals should we expect?
Stumbras II score 1.1 and concede 1.2 goals per match over their last 15; Dainava score 2.1 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Stumbras II | 1.1 | 1.2 | 4 | 7/15 | 6/15 |
| Dainava | 2.1 | 1.2 | 3 | 10/15 | 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 | 29 | 13 | 8 | 8 | 44 | 29 | 47 |
A question about Stumbras II vs Dainava?
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