Jonava vs Kupiškis: result 2-3 and analysis
1 LygaRegular Season - 17Kick-off on July 27, 2019 at 03:00 PM (UTC)Jonavos dirbtinės dangos stadionas, Jonava
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What was the result of Jonava vs Kupiškis?
Kupiškis won 2-3 on July 27, 2019.
Goalscorers
- 23′?Jonava (pen.)
- 27′?Kupiškis
- 59′?Kupiškis
- 72′Arnas PaškevičiusJonava
- 88′?Kupiškis
What is the recent form of both teams?
Over their last 15 matches in all competitions, Jonava have 9 wins, 3 draws and 3 defeats; Kupiškis have 5, 5 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 6, 2019 | Atmosfera(home) | 4-2 | 1 Lyga |
| Jul 3, 2019 | Nevėžis(home) | 5-2 | 1 Lyga |
| Jun 30, 2019 | Trakai II(away) | 1-0 | 1 Lyga |
| Jun 22, 2019 | Banga(away) | 0-6 | 1 Lyga |
| Jun 16, 2019 | Vilniaus Vytis(home) | 1-0 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 6, 2019 | Džiugas Telšiai(home) | 1-1 | 1 Lyga |
| Jun 30, 2019 | Banga(home) | 0-1 | 1 Lyga |
| Jun 23, 2019 | Dainava(home) | 2-1 | 1 Lyga |
| Jun 15, 2019 | Minija(away) | 4-3 | 1 Lyga |
| Jun 8, 2019 | Hegelmann Litauen(away) | 1-1 | 1 Lyga |
What does the head-to-head say?
In the last meeting: 0 Jonava wins, 1 draw, 0 Kupiškis wins.
| Date | Score | Competition |
|---|---|---|
| Mar 31, 2019 | Kupiškis 0-0 Jonava | 1 Lyga |
How many goals should we expect?
Jonava score 1.9 and concede 1.2 goals per match over their last 15; Kupiškis score 1.7 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Jonava | 1.9 | 1.2 | 8 | 6/15 | 8/15 |
| Kupiškis | 1.7 | 1.8 | 2 | 11/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 10 | Jonava | 26 | 7 | 6 | 13 | 28 | 35 | 27 |
A question about Jonava 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