TOM Tomsk vs Tambov: result 4-0 and analysis
Cup16th FinalsKick-off on September 25, 2019 at 12:00 PM (UTC)Stadion Trud, Tomsk
Full time
What was the result of TOM Tomsk vs Tambov?
TOM Tomsk won 4-0 on September 25, 2019.
Goalscorers
- 28′I. TlupovTOM Tomsk
- 36′D. TalalayTOM Tomsk
- 63′D. SasinTOM Tomsk
- 73′M. KazankovTOM Tomsk (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, TOM Tomsk have 6 wins, 5 draws and 4 defeats; Tambov 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 |
|---|---|---|---|
| Sep 21, 2019 | Torpedo Moskva(away) | 1-2 | First League |
| Sep 14, 2019 | Spartak Moscow 2(home) | 2-2 | First League |
| Sep 7, 2019 | Shinnik Yaroslavl(away) | 1-2 | First League |
| Sep 3, 2019 | Irtysh Omsk(away) | 2-0 | Cup |
| Aug 31, 2019 | FK Neftekhimik(home) | 0-1 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 21, 2019 | FC Rostov(home) | 2-1 | Premier League |
| Sep 15, 2019 | CSKA Moscow(home) | 0-2 | Premier League |
| Aug 31, 2019 | Akhmat(away) | 1-1 | Premier League |
| Aug 24, 2019 | Dynamo(home) | 0-2 | Premier League |
| Aug 17, 2019 | FC Krasnodar(home) | 0-2 | Premier League |
What does the head-to-head say?
Across the last 4 meetings: 0 TOM Tomsk win(s), 2 draw(s), 2 Tambov win(s).
| Date | Score | Competition |
|---|---|---|
| Apr 7, 2019 | TOM Tomsk 1-1 Tambov | First League |
| Sep 19, 2018 | Tambov 3-0 TOM Tomsk | First League |
| Apr 7, 2018 | TOM Tomsk 0-0 Tambov | First League |
| Sep 10, 2017 | Tambov 3-1 TOM Tomsk | First League |
How many goals should we expect?
TOM Tomsk score 1.1 and concede 0.7 goals per match over their last 15; Tambov score 0.9 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| TOM Tomsk | 1.1 | 0.7 | 7 | 6/15 | 4/15 |
| Tambov | 0.9 | 1.3 | 3 | 7/15 | 6/15 |
Over the last 15 matches in all competitions.
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