Spartak Nalchik vs Fakel: result 1-2 and analysis
First LeagueRegular Season - 20Kick-off on November 5, 2016 at 12:00 PM (UTC)Stadion Spartak, Nal'chik
Full time
What was the result of Spartak Nalchik vs Fakel?
Fakel won 1-2 on November 5, 2016.
Goalscorers
- 45′A. TroshechkinFakel
- 57′Mikhail BiryukovFakel
- 78′Z. MakoevSpartak Nalchik
What is the recent form of both teams?
Over their last 15 matches in all competitions, Spartak Nalchik have 4 wins, 6 draws and 5 defeats; Fakel have 6, 5 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 30, 2016 | Mordovia Saransk(away) | 0-1 | First League |
| Oct 22, 2016 | Sibir(home) | 2-1 | First League |
| Oct 15, 2016 | Khimki(away) | 0-2 | First League |
| Oct 8, 2016 | Ska-khabarovsk(home) | 1-1 | First League |
| Oct 2, 2016 | Tambov(away) | 0-0 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 30, 2016 | Zenit 2(home) | 1-0 | First League |
| Oct 22, 2016 | Baltika(away) | 0-0 | First League |
| Oct 15, 2016 | Dynamo(home) | 2-1 | First League |
| Oct 8, 2016 | Enisey(away) | 0-2 | First League |
| Oct 2, 2016 | Tyumen(home) | 0-0 | First League |
What does the head-to-head say?
Across the last 1 meetings: 0 Spartak Nalchik win(s), 0 draw(s), 1 Fakel win(s).
| Date | Score | Competition |
|---|---|---|
| Jul 16, 2016 | Fakel 1-0 Spartak Nalchik | First League |
Last archived meeting: Fakel vs Spartak Nalchik on Jul 16, 2016
How many goals should we expect?
Spartak Nalchik score 0.8 and concede 0.9 goals per match over their last 15; Fakel score 1.1 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Spartak Nalchik | 0.8 | 0.9 | 4 | 7/15 | 3/15 |
| Fakel | 1.1 | 0.9 | 7 | 7/15 | 6/15 |
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