Zenit vs Krylia Sovetov: result 3-1 and analysis
Premier LeagueRegular Season - 14Kick-off on November 20, 2016 at 04:30 PM (UTC)Gazprom Arena, St. Petersburg
Full time
What was the result of Zenit vs Krylia Sovetov?
Zenit won 3-1 on November 20, 2016.
Goalscorers
- 4′C. PasquatoKrylia Sovetov
- 10′A. DzyubaZenit
- 36′M. RodićZenit (o.g.)
- 89′A. DzyubaZenit (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Zenit have 12 wins, 2 draws and 1 defeats; Krylia Sovetov have 1, 5 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 6, 2016 | Akhmat(away) | 1-2 | Premier League |
| Nov 3, 2016 | Dundalk(home) | 2-1 | UEFA Europa League |
| Oct 30, 2016 | TOM Tomsk(home) | 1-0 | Premier League |
| Oct 24, 2016 | FC Orenburg(home) | 1-0 | Premier League |
| Oct 20, 2016 | Dundalk(away) | 2-1 | UEFA Europa League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 5, 2016 | Ural(home) | 2-2 | Premier League |
| Oct 31, 2016 | FC Orenburg(away) | 0-1 | Premier League |
| Oct 21, 2016 | Arsenal Tula(home) | 1-1 | Premier League |
| Oct 15, 2016 | Rubin(away) | 0-3 | Premier League |
| Oct 1, 2016 | Anzhi(home) | 2-1 | Premier League |
How many goals should we expect?
Zenit score 2.7 and concede 1.0 goals per match over their last 15; Krylia Sovetov score 0.6 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Zenit | 2.7 | 1.0 | 6 | 9/15 | 11/15 |
| Krylia Sovetov | 0.6 | 1.2 | 2 | 6/13 | 5/13 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Zenit sit 4th in Premier League (9 points from 5 matches) and Krylia Sovetov sit 12th (5 points from 5 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Zenit | 5 | 3 | 0 | 2 | 12 | 4 | 9 |
| 12 | Krylia Sovetov | 5 | 1 | 2 | 2 | 5 | 7 | 5 |
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