Kupiškis vs Dainava: result 2-1 and analysis
1 LygaRegular Season - 13Kick-off on June 23, 2019 at 01:00 PM (UTC)Kupiškio miesto stadionas, Kupiškis
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What was the result of Kupiškis vs Dainava?
Kupiškis won 2-1 on June 23, 2019.
Goalscorers
- 31′?Kupiškis
- 60′?Dainava
- 62′?Kupiškis (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kupiškis have 4 wins, 4 draws and 7 defeats; Dainava have 10, 1 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 15, 2019 | Minija(away) | 4-3 | 1 Lyga |
| Jun 8, 2019 | Hegelmann Litauen(away) | 1-1 | 1 Lyga |
| Jun 2, 2019 | Trakai II(away) | 3-3 | 1 Lyga |
| May 18, 2019 | Šiauliai(away) | 3-2 | 1 Lyga |
| May 15, 2019 | BFA(home) | 3-1 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 16, 2019 | Trakai II(away) | 3-2 | 1 Lyga |
| Jun 12, 2019 | Jonava(home) | 4-1 | 1 Lyga |
| Jun 2, 2019 | Džiugas Telšiai(away) | 0-3 | 1 Lyga |
| May 20, 2019 | Minija(home) | 0-1 | 1 Lyga |
| May 16, 2019 | Žalgiris II(home) | 0-1 | 1 Lyga |
What does the head-to-head say?
Across the last 2 meetings: 0 Kupiškis win(s), 0 draw(s), 2 Dainava win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 20, 2018 | Dainava 6-0 Kupiškis | 1 Lyga |
| Jun 20, 2018 | Kupiškis 2-6 Dainava | 1 Lyga |
How many goals should we expect?
Kupiškis score 1.8 and concede 2.7 goals per match over their last 15; Dainava score 2.4 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kupiškis | 1.8 | 2.7 | 2 | 11/15 | 11/15 |
| Dainava | 2.4 | 1.2 | 2 | 10/15 | 12/15 |
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