Jonava vs NFA Kaunas: result 4-1 and analysis
1 LygaRegular Season - 24Kick-off on September 26, 2012 at 01:30 PM (UTC)Jonavos dirbtinės dangos stadionas, Jonava
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What was the result of Jonava vs NFA Kaunas?
Jonava won 4-1 on September 26, 2012.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Jonava have 10 wins, 3 draws and 2 defeats; NFA Kaunas have 5, 2 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 22, 2012 | Venta(away) | 3-0 | 1 Lyga |
| Sep 15, 2012 | Šilutė(home) | 2-0 | 1 Lyga |
| Sep 8, 2012 | Polonija(away) | 2-0 | 1 Lyga |
| Sep 1, 2012 | Palanga(home) | 3-2 | 1 Lyga |
| Aug 28, 2012 | Polonija(home) | 4-1 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 22, 2012 | Kedainiai(away) | 9-1 | 1 Lyga |
| Sep 19, 2012 | Nevėžis(away) | 0-3 | 1 Lyga |
| Sep 15, 2012 | Granitas(home) | 2-4 | 1 Lyga |
| Sep 12, 2012 | Polonija(away) | 1-4 | 1 Lyga |
| Sep 8, 2012 | Venta(away) | 1-3 | 1 Lyga |
What does the head-to-head say?
Across the last 2 meetings: 2 Jonava wins, 0 draws, 0 NFA Kaunas wins.
| Date | Score | Competition |
|---|---|---|
| Aug 22, 2012 | Jonava 3-0 NFA Kaunas | 1 Lyga |
| May 19, 2012 | NFA Kaunas 0-3 Jonava | 1 Lyga |
How many goals should we expect?
Jonava score 2.2 and concede 0.5 goals per match over their last 15; NFA Kaunas score 2.2 and concede 2.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Jonava | 2.2 | 0.5 | 10 | 5/15 | 9/15 |
| NFA Kaunas | 2.2 | 2.5 | 0 | 11/15 | 14/15 |
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 | 27 | 8 | 6 | 13 | 31 | 35 | 30 |
A question about Jonava vs NFA Kaunas?
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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