Atmosfera vs Kupiškis: result 0-5 and analysis
1 LygaRegular Season - 21Kick-off on August 23, 2019 at 04:00 PM (UTC)Mažeikių stadionas dirbtinė danga, Mažeikiai
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What was the result of Atmosfera vs Kupiškis?
Kupiškis won 0-5 on August 23, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Atmosfera have 1 win, 2 draws and 12 defeats; Kupiškis have 8, 3 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 17, 2019 | Minija(home) | 0-7 | 1 Lyga |
| Aug 10, 2019 | Hegelmann Litauen(away) | 2-5 | 1 Lyga |
| Aug 2, 2019 | Džiugas Telšiai(home) | 0-1 | 1 Lyga |
| Jul 28, 2019 | Dainava(away) | 1-9 | 1 Lyga |
| Jul 6, 2019 | Jonava(away) | 2-4 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 17, 2019 | Pakruojis(away) | 6-0 | 1 Lyga |
| Aug 9, 2019 | Žalgiris II(home) | 2-0 | 1 Lyga |
| Aug 2, 2019 | Nevėžis(home) | 0-3 | 1 Lyga |
| Jul 27, 2019 | Jonava(away) | 3-2 | 1 Lyga |
| Jul 6, 2019 | Džiugas Telšiai(home) | 1-1 | 1 Lyga |
What does the head-to-head say?
In the last meeting: 0 Atmosfera wins, 0 draws, 1 Kupiškis win.
| Date | Score | Competition |
|---|---|---|
| May 4, 2019 | Kupiškis 3-0 Atmosfera | 1 Lyga |
How many goals should we expect?
Atmosfera score 0.9 and concede 3.9 goals per match over their last 15; Kupiškis score 2.3 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Atmosfera | 0.9 | 3.9 | 0 | 8/15 | 11/15 |
| Kupiškis | 2.3 | 1.7 | 3 | 10/15 | 11/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Atmosfera | 25 | 8 | 7 | 10 | 37 | 33 | 31 |
A question about Atmosfera vs Kupiškis?
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