Dainava vs Lokomotyvas Radviliškis: result 1-0 and analysis
1 LygaRegular Season - 25Kick-off on September 17, 2016 at 01:00 PM (UTC)Alytaus m. centrinis stadionas, Marijampolė
Full time
What was the result of Dainava vs Lokomotyvas Radviliškis?
Dainava won 1-0 on September 17, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Dainava have 7 wins, 3 draws and 5 defeats; Lokomotyvas Radviliškis have 2, 1 and 12.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 10, 2016 | Šilas(away) | 0-6 | 1 Lyga |
| Sep 3, 2016 | Kražantė(home) | 0-0 | 1 Lyga |
| Aug 27, 2016 | Šilutė(away) | 2-0 | 1 Lyga |
| Aug 20, 2016 | Palanga(home) | 2-2 | 1 Lyga |
| Aug 13, 2016 | Kaunas(away) | 5-0 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 10, 2016 | Trakai II(home) | 3-2 | 1 Lyga |
| Sep 6, 2016 | Banga(home) | 0-2 | 1 Lyga |
| Sep 2, 2016 | Hegelmann Litauen(away) | 1-2 | 1 Lyga |
| Aug 27, 2016 | Kaunas(home) | 6-2 | 1 Lyga |
| Aug 21, 2016 | Panevėžys(away) | 1-3 | 1 Lyga |
What does the head-to-head say?
Across the last 1 meetings: 1 Dainava win(s), 0 draw(s), 0 Lokomotyvas Radviliškis win(s).
| Date | Score | Competition |
|---|---|---|
| May 28, 2016 | Lokomotyvas Radviliškis 1-4 Dainava | 1 Lyga |
Last archived meeting: Lokomotyvas Radviliškis vs Dainava on May 28, 2016
How many goals should we expect?
Dainava score 1.4 and concede 1.5 goals per match over their last 15; Lokomotyvas Radviliškis score 1.5 and concede 3.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Dainava | 1.4 | 1.5 | 5 | 6/15 | 10/15 |
| Lokomotyvas Radviliškis | 1.5 | 3.5 | 0 | 10/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 6 | Dainava | 20 | 10 | 6 | 4 | 33 | 19 | 36 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy