Inter Bratislava vs Pohronie: result 2-1 and analysis
2. ligaRegular Season - 6Kick-off on September 2, 2017 at 03:00 PM (UTC)Štadión FK Stupava, Stupava
Full time
What was the result of Inter Bratislava vs Pohronie?
Inter Bratislava won 2-1 on September 2, 2017.
What is the recent form of both teams?
Over their last 5 matches in all competitions, Inter Bratislava have 2 wins, 0 draws and 3 defeats; Pohronie have 1, 2 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Aug 5, 2017 | Sereď(home) | 2-1 | 2. liga |
| Jul 30, 2017 | Žilina II(away) | 2-4 | 2. liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 25, 2017 | Poprad(home) | 0-0 | 2. liga |
| Aug 19, 2017 | Lokomotíva Zvolen(away) | 0-1 | 2. liga |
| Aug 12, 2017 | Spišská Nová Ves(home) | 1-0 | 2. liga |
| Aug 6, 2017 | Podbrezová II(away) | 2-2 | 2. liga |
| Jul 29, 2017 | Liptovský Mikuláš(away) | 0-2 | 2. liga |
How many goals should we expect?
Inter Bratislava score 2.2 and concede 2.0 goals per match over their last 5; Pohronie score 0.6 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Inter Bratislava | 2.2 | 2.0 | 1 | 3/5 | 4/5 |
| Pohronie | 0.6 | 1.0 | 2 | 1/5 | 1/5 |
Over the last 5 matches in all competitions.
Where do both teams sit in the table?
Inter Bratislava sit 6th in 2. liga (19 points from 12 matches) and Pohronie sit 4th (22 points from 12 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Pohronie | 12 | 7 | 1 | 4 | 21 | 16 | 22 |
| 6 | Inter Bratislava | 12 | 5 | 4 | 3 | 27 | 15 | 19 |
A question about Inter Bratislava vs Pohronie?
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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