Tambov vs Fakel: result 4-0 and analysis
First LeagueRegular Season - 24Kick-off on November 25, 2016 at 10:00 AM (UTC)Stadion Spartak, Tambov
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What was the result of Tambov vs Fakel?
Tambov won 4-0 on November 25, 2016.
Goalscorers
- 4′Aleksandr AlumonaTambov
- 43′Aleksandr AlumonaTambov (pen.)
- 58′Denis DorozhkinTambov
- 72′A. ChasovskikhTambov
What is the recent form of both teams?
Over their last 15 matches in all competitions, Tambov have 5 wins, 4 draws and 6 defeats; Fakel have 5, 5 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 19, 2016 | Kuban(away) | 0-0 | First League |
| Nov 12, 2016 | Mordovia Saransk(home) | 2-1 | First League |
| Nov 9, 2016 | Sibir(away) | 0-2 | First League |
| Nov 5, 2016 | Khimki(home) | 0-1 | First League |
| Oct 30, 2016 | FK Neftekhimik(home) | 0-0 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 19, 2016 | FC Tosno(home) | 0-0 | First League |
| Nov 13, 2016 | Spartak Moscow 2(away) | 0-1 | First League |
| Nov 9, 2016 | Luch-Energiya(home) | 0-1 | First League |
| Nov 5, 2016 | Spartak Nalchik(away) | 2-1 | First League |
| Oct 30, 2016 | Zenit 2(home) | 1-0 | First League |
What does the head-to-head say?
Across the last 1 meetings: 0 Tambov win(s), 0 draw(s), 1 Fakel win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 6, 2016 | Fakel 3-0 Tambov | First League |
How many goals should we expect?
Tambov score 0.7 and concede 0.9 goals per match over their last 15; Fakel score 0.8 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Tambov | 0.7 | 0.9 | 6 | 5/15 | 5/15 |
| Fakel | 0.8 | 0.8 | 6 | 6/15 | 5/15 |
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