Slovan Bratislava vs Beşiktaş: result 4-2 and analysis
UEFA Europa LeagueGroup Stage - 1Kick-off on September 19, 2019 at 07:00 PM (UTC)Štadión Tehelné pole, Bratislava
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What was the result of Slovan Bratislava vs Beşiktaş?
Slovan Bratislava won 4-2 on September 19, 2019.
Goalscorers
- 14′A. ŠporarSlovan Bratislava
- 29′A. LjajićBeşiktaş (pen.)
- 45′Vasil BozhikovBeşiktaş (o.g.)
- 58′A. ŠporarSlovan Bratislava
- 90′M. LjubičićSlovan Bratislava
- 90′M. RharsallaSlovan Bratislava
What is the recent form of both teams?
Over their last 15 matches in all competitions, Slovan Bratislava have 11 wins, 2 draws and 2 defeats; Beşiktaş 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 |
|---|---|---|---|
| Sep 15, 2019 | Spartak Trnava(home) | 2-0 | Super Liga |
| Sep 1, 2019 | Dunajska Streda(away) | 2-5 | Super Liga |
| Aug 29, 2019 | PAOK(away) | 2-3 | UEFA Europa League |
| Aug 25, 2019 | Žilina(home) | 1-1 | Super Liga |
| Aug 22, 2019 | PAOK(home) | 1-0 | UEFA Europa League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 14, 2019 | Gaziantep FK(away) | 2-3 | Süper Lig |
| Aug 31, 2019 | Rizespor(home) | 1-1 | Süper Lig |
| Aug 23, 2019 | Göztepe(home) | 3-0 | Süper Lig |
| Aug 17, 2019 | Sivasspor(away) | 0-3 | Süper Lig |
| May 24, 2019 | Kasımpaşa(home) | 3-2 | Süper Lig |
How many goals should we expect?
Slovan Bratislava score 2.3 and concede 0.9 goals per match over their last 15; Beşiktaş score 2.2 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Slovan Bratislava | 2.3 | 0.9 | 8 | 7/15 | 10/15 |
| Beşiktaş | 2.2 | 1.5 | 2 | 11/15 | 12/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 28 | Beşiktaş | 8 | 3 | 0 | 5 | 10 | 15 | 9 |
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