Tambov vs Fakel: result 1-0 and analysis
First LeagueRegular Season - 7Kick-off on August 9, 2017 at 02:00 PM (UTC)Stadion Spartak, Tambov
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What was the result of Tambov vs Fakel?
Tambov won 1-0 on August 9, 2017.
Goalscorers
- 22′A. ChasovskikhTambov
What is the recent form of both teams?
Over their last 15 matches in all competitions, Tambov have 8 wins, 3 draws and 4 defeats; Fakel have 4, 3 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 5, 2017 | Zenit 2(away) | 1-0 | First League |
| Jul 30, 2017 | Enisey(home) | 5-0 | First League |
| Jul 26, 2017 | Baltika(away) | 0-3 | First League |
| Jul 22, 2017 | Spartak Moscow 2(home) | 3-0 | First League |
| Jul 15, 2017 | Avangard Kursk(away) | 1-2 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 5, 2017 | FC Orenburg(home) | 0-1 | First League |
| Jul 30, 2017 | Sibir(away) | 0-4 | First League |
| Jul 26, 2017 | Tyumen(home) | 1-0 | First League |
| Jul 22, 2017 | FC Sochi(away) | 0-2 | First League |
| Jul 15, 2017 | Shinnik Yaroslavl(home) | 2-2 | First League |
What does the head-to-head say?
Across the last 2 meetings: 1 Tambov win(s), 0 draw(s), 1 Fakel win(s).
| Date | Score | Competition |
|---|---|---|
| Nov 25, 2016 | Tambov 4-0 Fakel | First League |
| Aug 6, 2016 | Fakel 3-0 Tambov | First League |
How many goals should we expect?
Tambov score 1.8 and concede 1.0 goals per match over their last 15; Fakel score 0.8 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Tambov | 1.8 | 1.0 | 7 | 6/15 | 10/15 |
| Fakel | 0.8 | 1.5 | 4 | 6/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Fakel | 34 | 20 | 8 | 6 | 44 | 22 | 68 |
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