Kupiškis vs Dainava: result 2-6 and analysis
1 LygaRegular Season - 13Kick-off on June 20, 2018 at 04:00 PM (UTC)Kupiškio miesto stadionas, Kupiškis
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What was the result of Kupiškis vs Dainava?
Dainava won 2-6 on June 20, 2018.
What is the recent form of both teams?
Over their last 11 matches in all competitions, Kupiškis have 2 wins, 0 draws and 9 defeats; Dainava have 9, 3 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 17, 2018 | Panevėžys(home) | 0-6 | 1 Lyga |
| Jun 3, 2018 | Vilniaus Vytis(home) | 2-4 | 1 Lyga |
| May 22, 2018 | Koralas(away) | 12-0 | 1 Lyga |
| May 18, 2018 | Žalgiris II(away) | 2-3 | 1 Lyga |
| May 11, 2018 | Pakruojis(away) | 1-2 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 15, 2018 | Vilniaus Vytis(away) | 2-2 | 1 Lyga |
| Jun 10, 2018 | Pakruojis(home) | 2-3 | 1 Lyga |
| Jun 3, 2018 | Utenis Utena(home) | 1-2 | 1 Lyga |
| May 24, 2018 | Džiugas Telšiai(home) | 0-1 | 1 Lyga |
| May 18, 2018 | Banga(away) | 1-0 | 1 Lyga |
How many goals should we expect?
Kupiškis score 2.2 and concede 3.5 goals per match over their last 11; Dainava score 1.9 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kupiškis | 2.2 | 3.5 | 1 | 7/11 | 11/11 |
| Dainava | 1.9 | 0.8 | 8 | 6/15 | 8/15 |
Over the last 11 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Dainava | 27 | 12 | 8 | 7 | 40 | 28 | 44 |
A question about Kupiškis 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