FC Rostov vs Tambov: result 1-2 and analysis
Premier LeagueRegular Season - 16Kick-off on November 9, 2019 at 01:30 PM (UTC)Rostov Arena, Rostov-na-Donu
Full time
What was the result of FC Rostov vs Tambov?
Tambov won 1-2 on November 9, 2019.
Goalscorers
- 7′B. SigurðarsonFC Rostov
- 52′G. MelkadzeTambov
- 70′V. ObukhovTambov
What is the recent form of both teams?
Over their last 15 matches in all competitions, FC Rostov have 9 wins, 2 draws and 4 defeats; Tambov have 4, 2 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 3, 2019 | FC Krasnodar(away) | 2-2 | Premier League |
| Oct 31, 2019 | Spartak Moscow(away) | 1-2 | Cup |
| Oct 26, 2019 | FC Sochi(home) | 2-0 | Premier League |
| Oct 19, 2019 | Zenit(away) | 1-6 | Premier League |
| Oct 6, 2019 | CSKA Moscow(away) | 3-1 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 2, 2019 | FC Sochi(away) | 2-1 | Premier League |
| Oct 26, 2019 | FC UFA(home) | 3-0 | Premier League |
| Oct 19, 2019 | Ural(home) | 1-2 | Premier League |
| Oct 5, 2019 | Rubin(away) | 1-2 | Premier League |
| Sep 28, 2019 | Krylia Sovetov(away) | 0-2 | Premier League |
What does the head-to-head say?
Across the last 1 meetings: 0 FC Rostov win(s), 0 draw(s), 1 Tambov win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 21, 2019 | Tambov 2-1 FC Rostov | Premier League |
How many goals should we expect?
FC Rostov score 1.8 and concede 1.5 goals per match over their last 15; Tambov score 1.0 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| FC Rostov | 1.8 | 1.5 | 4 | 10/15 | 11/15 |
| Tambov | 1.0 | 1.6 | 2 | 7/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 11 | FC Rostov | 5 | 1 | 2 | 2 | 7 | 9 | 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