Inter Bratislava vs Lokomotíva Zvolen: result 3-1 and analysis
2. ligaRegular Season - 8Kick-off on September 16, 2017 at 02:00 PM (UTC)Štadión FK Stupava, Stupava
Full time
What was the result of Inter Bratislava vs Lokomotíva Zvolen?
Inter Bratislava won 3-1 on September 16, 2017.
What is the recent form of both teams?
Over their last 7 matches in all competitions, Inter Bratislava have 3 wins, 0 draws and 4 defeats; Lokomotíva Zvolen have 6, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 9, 2017 | Spišská Nová Ves(away) | 0-1 | 2. liga |
| Sep 2, 2017 | Pohronie(home) | 2-1 | 2. liga |
| Aug 26, 2017 | Liptovský Mikuláš(away) | 2-3 | 2. liga |
| Aug 19, 2017 | Partizán Bardejov(home) | 5-0 | 2. liga |
| Aug 12, 2017 | Lokomotíva Košice(away) | 0-2 | 2. liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 9, 2017 | Poprad(home) | 3-2 | 2. liga |
| Sep 3, 2017 | Podbrezová II(away) | 3-1 | 2. liga |
| Aug 26, 2017 | Spišská Nová Ves(home) | 2-2 | 2. liga |
| Aug 19, 2017 | Pohronie(home) | 1-0 | 2. liga |
| Aug 12, 2017 | Liptovský Mikuláš(away) | 0-7 | 2. liga |
How many goals should we expect?
Inter Bratislava score 1.9 and concede 1.7 goals per match over their last 7; Lokomotíva Zvolen score 1.3 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Inter Bratislava | 1.9 | 1.7 | 1 | 4/7 | 5/7 |
| Lokomotíva Zvolen | 1.3 | 1.8 | 5 | 7/15 | 9/15 |
Over the last 7 matches in all competitions.
Where do both teams sit in the table?
Inter Bratislava sit 9th in 2. liga (6 points from 5 matches) and Lokomotíva Zvolen sit 16th (2 points from 4 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Inter Bratislava | 5 | 2 | 0 | 3 | 8 | 6 | 6 |
| 16 | Lokomotíva Zvolen | 4 | 0 | 2 | 2 | 3 | 5 | 2 |
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