Spartak Nalchik vs FK Neftekhimik: result 3-2 and analysis
First LeagueRegular Season - 11Kick-off on September 3, 2016 at 03:30 PM (UTC)Stadion Spartak, Nal'chik
Full time
What was the result of Spartak Nalchik vs FK Neftekhimik?
Spartak Nalchik won 3-2 on September 3, 2016.
Goalscorers
- 13′97582Spartak Nalchik
- 19′Ruslan GaliakberovFK Neftekhimik
- 55′97715Spartak Nalchik
- 70′Ruslan GaliakberovFK Neftekhimik
- 71′97715Spartak Nalchik
What is the recent form of both teams?
Over their last 10 matches in all competitions, Spartak Nalchik have 2 wins, 5 draws and 3 defeats; FK Neftekhimik have 3, 3 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 28, 2016 | Volgar Astrakhan(away) | 1-2 | First League |
| Aug 21, 2016 | Zenit 2(home) | 1-0 | First League |
| Aug 17, 2016 | Baltika(away) | 1-1 | First League |
| Aug 13, 2016 | Dynamo(home) | 0-1 | First League |
| Aug 6, 2016 | Enisey(away) | 1-0 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 28, 2016 | Kuban(home) | 1-4 | First League |
| Aug 21, 2016 | Volgar Astrakhan(away) | 0-3 | First League |
| Aug 17, 2016 | Mordovia Saransk(home) | 1-0 | First League |
| Aug 13, 2016 | Zenit 2(away) | 2-2 | First League |
| Aug 6, 2016 | Sibir(home) | 0-1 | First League |
How many goals should we expect?
Spartak Nalchik score 0.6 and concede 0.7 goals per match over their last 10; FK Neftekhimik score 0.7 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Spartak Nalchik | 0.6 | 0.7 | 4 | 4/10 | 1/10 |
| FK Neftekhimik | 0.7 | 1.3 | 5 | 3/10 | 4/10 |
Over the last 10 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 16 | FK Neftekhimik | 7 | 2 | 0 | 5 | 4 | 12 | 6 |
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