Spartak Moscow 2 vs Fakel: result 1-0 and analysis
First LeagueRegular Season - 22Kick-off on November 13, 2016 at 11:00 AM (UTC)Futbol'noe pole 4 Akademiya Spartak im. F. Cherenkova, Moskva
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What was the result of Spartak Moscow 2 vs Fakel?
Spartak Moscow 2 won 1-0 on November 13, 2016.
Goalscorers
- 44′97606Spartak Moscow 2 (o.g.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Spartak Moscow 2 have 5 wins, 4 draws and 6 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 |
|---|---|---|---|
| Nov 9, 2016 | Kuban(away) | 2-5 | First League |
| Nov 5, 2016 | Mordovia Saransk(away) | 4-1 | First League |
| Oct 30, 2016 | Khimki(away) | 0-1 | First League |
| Oct 22, 2016 | Ska-khabarovsk(home) | 2-0 | First League |
| Oct 15, 2016 | Tambov(away) | 0-1 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Oct 22, 2016 | Baltika(away) | 0-0 | First League |
| Oct 15, 2016 | Dynamo(home) | 2-1 | First League |
What does the head-to-head say?
Across the last 1 meetings: 0 Spartak Moscow 2 win(s), 1 draw(s), 0 Fakel win(s).
| Date | Score | Competition |
|---|---|---|
| Jul 27, 2016 | Fakel 1-1 Spartak Moscow 2 | First League |
Last archived meeting: Fakel vs Spartak Moscow 2 on Jul 27, 2016
How many goals should we expect?
Spartak Moscow 2 score 1.5 and concede 1.3 goals per match over their last 15; Fakel score 1.0 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Spartak Moscow 2 | 1.5 | 1.3 | 5 | 8/15 | 8/15 |
| Fakel | 1.0 | 0.8 | 6 | 7/15 | 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