Zenit vs Rubin: result 4-1 and analysis
Premier LeagueRegular Season - 7Kick-off on September 19, 2016 at 04:30 PM (UTC)Gazprom Arena, St. Petersburg
Full time
What was the result of Zenit vs Rubin?
Zenit won 4-1 on September 19, 2016.
Goalscorers
- 16′D. CriscitoZenit (pen.)
- 53′R. MakZenit
- 59′GiulianoZenit
- 63′A. DzyubaZenit
- 86′JonathasRubin
What is the recent form of both teams?
Over their last 15 matches in all competitions, Zenit have 9 wins, 3 draws and 3 defeats; Rubin have 3, 8 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 15, 2016 | Maccabi Tel Aviv(away) | 4-3 | UEFA Europa League |
| Sep 11, 2016 | Arsenal Tula(away) | 5-0 | Premier League |
| Aug 27, 2016 | Amkar(home) | 3-0 | Premier League |
| Aug 20, 2016 | CSKA Moscow(home) | 1-1 | Premier League |
| Aug 12, 2016 | FC Rostov(home) | 3-2 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 12, 2016 | Ural(home) | 3-1 | Premier League |
| Aug 27, 2016 | FC Orenburg(away) | 1-1 | Premier League |
| Aug 19, 2016 | Anzhi(home) | 1-2 | Premier League |
| Aug 13, 2016 | Spartak Moscow(home) | 1-1 | Premier League |
| Aug 6, 2016 | Arsenal Tula(away) | 0-1 | Premier League |
How many goals should we expect?
Zenit score 2.0 and concede 1.0 goals per match over their last 15; Rubin score 1.0 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Zenit | 2.0 | 1.0 | 6 | 8/15 | 9/15 |
| Rubin | 1.0 | 0.9 | 4 | 9/15 | 4/15 |
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 Rubin sit 10th (5 points from 4 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Zenit | 5 | 3 | 0 | 2 | 12 | 4 | 9 |
| 10 | Rubin | 4 | 1 | 2 | 1 | 5 | 6 | 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