Jonava vs Šilas: result 1-2 and analysis
1 LygaPromotion Group - 4Kick-off on October 19, 2013 at 11:00 AM (UTC)Jonavos dirbtinės dangos stadionas, Jonava
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What was the result of Jonava vs Šilas?
Šilas won 1-2 on October 19, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Jonava have 5 wins, 7 draws and 3 defeats; Šilas have 9, 2 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 12, 2013 | Nevėžis(away) | 1-3 | 1 Lyga |
| Oct 6, 2013 | Kauno Žalgiris(home) | 1-1 | 1 Lyga |
| Sep 28, 2013 | FK Trakai(away) | 0-0 | 1 Lyga |
| Sep 22, 2013 | Baltija(away) | 1-1 | 1 Lyga |
| Sep 17, 2013 | Šilas(home) | 3-3 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 13, 2013 | Kauno Žalgiris(home) | 3-0 | 1 Lyga |
| Oct 5, 2013 | Granitas Klaipėda(away) | 1-5 | 1 Lyga |
| Sep 28, 2013 | Nevėžis(home) | 2-0 | 1 Lyga |
| Sep 21, 2013 | FK Trakai(home) | 0-1 | 1 Lyga |
| Sep 17, 2013 | Jonava(away) | 3-3 | 1 Lyga |
What does the head-to-head say?
Across the last 2 meetings: 0 Jonava wins, 1 draw, 1 Šilas win.
| Date | Score | Competition |
|---|---|---|
| Sep 17, 2013 | Jonava 3-3 Šilas | 1 Lyga |
| May 22, 2013 | Šilas 1-0 Jonava | 1 Lyga |
How many goals should we expect?
Jonava score 1.5 and concede 1.1 goals per match over their last 15; Šilas score 2.1 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Jonava | 1.5 | 1.1 | 5 | 9/15 | 7/15 |
| Šilas | 2.1 | 1.4 | 5 | 8/15 | 10/15 |
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 Šilas?
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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