FC Tosno vs Rubin: result 0-1 and analysis
Premier LeagueRegular Season - 22Kick-off on March 10, 2018 at 04:00 PM (UTC)Stadion Petrovskiy, St. Petersburg
Full time
What was the result of FC Tosno vs Rubin?
Rubin won 0-1 on March 10, 2018.
Goalscorers
- 75′V. PodberezkinRubin
What is the recent form of both teams?
Over their last 15 matches in all competitions, FC Tosno have 4 wins, 5 draws and 6 defeats; Rubin have 4, 4 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 4, 2018 | Ska-khabarovsk(away) | 1-0 | Premier League |
| Dec 11, 2017 | Lokomotiv(home) | 1-3 | Premier League |
| Dec 1, 2017 | CSKA Moscow(away) | 0-6 | Premier League |
| Nov 25, 2017 | Arsenal Tula(home) | 3-2 | Premier League |
| Nov 19, 2017 | Zenit(away) | 0-5 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 2, 2018 | Anzhi(away) | 1-1 | Premier League |
| Dec 9, 2017 | Ska-khabarovsk(home) | 3-1 | Premier League |
| Dec 2, 2017 | Lokomotiv(away) | 0-1 | Premier League |
| Nov 26, 2017 | CSKA Moscow(home) | 0-1 | Premier League |
| Nov 18, 2017 | Arsenal Tula(away) | 0-0 | Premier League |
What does the head-to-head say?
Across the last 1 meetings: 0 FC Tosno win(s), 0 draw(s), 1 Rubin win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 26, 2017 | Rubin 1-0 FC Tosno | Premier League |
How many goals should we expect?
FC Tosno score 0.9 and concede 1.9 goals per match over their last 15; Rubin score 0.9 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| FC Tosno | 0.9 | 1.9 | 5 | 7/15 | 8/15 |
| Rubin | 0.9 | 0.7 | 6 | 3/15 | 3/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 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