Kupiškis vs Atmosfera: result 3-0 and analysis
1 LygaRegular Season - 6Kick-off on May 4, 2019 at 11:00 AM (UTC)Kupiškio miesto stadionas, Kupiškis
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What was the result of Kupiškis vs Atmosfera?
Kupiškis won 3-0 on May 4, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kupiškis have 1 win, 4 draws and 10 defeats; Atmosfera have 0, 2 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 24, 2019 | Pakruojis(home) | 2-3 | 1 Lyga |
| Apr 14, 2019 | Žalgiris II(away) | 1-1 | 1 Lyga |
| Apr 5, 2019 | Nevėžis(away) | 1-5 | 1 Lyga |
| Mar 31, 2019 | Jonava(home) | 0-0 | 1 Lyga |
| Mar 22, 2019 | Džiugas Telšiai(away) | 0-1 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 20, 2019 | Minija(away) | 1-1 | 1 Lyga |
| Apr 13, 2019 | Hegelmann Litauen(home) | 1-2 | 1 Lyga |
| Apr 6, 2019 | Džiugas Telšiai(away) | 0-6 | 1 Lyga |
| Mar 31, 2019 | Dainava(home) | 1-1 | 1 Lyga |
| Mar 25, 2019 | Jonava(home) | 0-3 | 1 Lyga |
How many goals should we expect?
Kupiškis score 1.3 and concede 3.1 goals per match over their last 15; Atmosfera score 0.6 and concede 2.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kupiškis | 1.3 | 3.1 | 1 | 11/15 | 10/15 |
| Atmosfera | 0.6 | 2.6 | 0 | 3/5 | 3/5 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Atmosfera | 25 | 8 | 7 | 10 | 37 | 33 | 31 |
A question about Kupiškis vs Atmosfera?
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