Dainava vs Kupiškis: result 3-1 and analysis
1 LygaRegular Season - 28Kick-off on October 13, 2019 at 12:00 PM (UTC)Marijampolės futbolo arenos maniežas, Marijampolė
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What was the result of Dainava vs Kupiškis?
Dainava won 3-1 on October 13, 2019.
Goalscorers
- 14′?Dainava
- 30′?Kupiškis
- 84′?Dainava
- 90′?Dainava
What is the recent form of both teams?
Over their last 15 matches in all competitions, Dainava have 10 wins, 0 draws and 5 defeats; Kupiškis 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 |
|---|---|---|---|
| Oct 6, 2019 | Trakai II(home) | 2-1 | 1 Lyga |
| Oct 3, 2019 | Žalgiris II(away) | 2-1 | 1 Lyga |
| Sep 28, 2019 | Jonava(away) | 3-2 | 1 Lyga |
| Sep 20, 2019 | Džiugas Telšiai(home) | 0-1 | 1 Lyga |
| Sep 15, 2019 | Minija(away) | 1-2 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 5, 2019 | Minija(home) | 1-4 | 1 Lyga |
| Sep 28, 2019 | Hegelmann Litauen(home) | 0-0 | 1 Lyga |
| Sep 22, 2019 | Trakai II(home) | 1-7 | 1 Lyga |
| Sep 14, 2019 | Šiauliai(home) | 2-3 | 1 Lyga |
| Aug 30, 2019 | Vilniaus Vytis(away) | 0-2 | 1 Lyga |
What does the head-to-head say?
Across the last 3 meetings: 2 Dainava win(s), 0 draw(s), 1 Kupiškis win(s).
| Date | Score | Competition |
|---|---|---|
| Jun 23, 2019 | Kupiškis 2-1 Dainava | 1 Lyga |
| Oct 20, 2018 | Dainava 6-0 Kupiškis | 1 Lyga |
| Jun 20, 2018 | Kupiškis 2-6 Dainava | 1 Lyga |
How many goals should we expect?
Dainava score 2.6 and concede 1.2 goals per match over their last 15; Kupiškis score 1.9 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Dainava | 2.6 | 1.2 | 2 | 10/15 | 11/15 |
| Kupiškis | 1.9 | 1.9 | 4 | 8/15 | 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