Jonava vs Kedainiai: result 8-0 and analysis
1 LygaRegular Season - 23Kick-off on September 30, 2012 at 09:00 AM (UTC)Jonavos dirbtinės dangos stadionas, Jonava
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What was the result of Jonava vs Kedainiai?
Jonava won 8-0 on September 30, 2012.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Jonava have 11 wins, 3 draws and 1 defeat; Kedainiai have 0, 1 and 14.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 26, 2012 | NFA Kaunas(home) | 4-1 | 1 Lyga |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 22, 2012 | NFA Kaunas(home) | 1-9 | 1 Lyga |
| Sep 16, 2012 | Venta(home) | 3-3 | 1 Lyga |
| Sep 8, 2012 | Šilutė(away) | 0-11 | 1 Lyga |
| Sep 1, 2012 | Polonija(home) | 0-5 | 1 Lyga |
| Aug 25, 2012 | Palanga(home) | 0-4 | 1 Lyga |
What does the head-to-head say?
Across the last 2 meetings: 2 Jonava wins, 0 draws, 0 Kedainiai wins.
| Date | Score | Competition |
|---|---|---|
| Aug 1, 2012 | Jonava 3-0 Kedainiai | 1 Lyga |
| May 12, 2012 | Kedainiai 2-7 Jonava | 1 Lyga |
How many goals should we expect?
Jonava score 2.4 and concede 0.5 goals per match over their last 15; Kedainiai score 0.6 and concede 5.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Jonava | 2.4 | 0.5 | 10 | 5/15 | 9/15 |
| Kedainiai | 0.6 | 5.1 | 0 | 6/15 | 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 | 26 | 7 | 6 | 13 | 28 | 35 | 27 |
A question about Jonava vs Kedainiai?
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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