Fakel vs Spartak Moscow 2: result 0-3 and analysis
First LeagueRegular Season - 8Kick-off on August 13, 2017 at 03:00 PM (UTC)Central'nyi Stadion Profsoyuzov, Voronezh
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What was the result of Fakel vs Spartak Moscow 2?
Spartak Moscow 2 won 0-3 on August 13, 2017.
Goalscorers
- 28′Z. BakaevSpartak Moscow 2
- 54′D. DavydovSpartak Moscow 2
- 84′F. SakalaSpartak Moscow 2
What is the recent form of both teams?
Over their last 15 matches in all competitions, Fakel have 3 wins, 3 draws and 9 defeats; Spartak Moscow 2 have 6, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 9, 2017 | Tambov(away) | 0-1 | First League |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 10, 2017 | Zenit 2(home) | 3-1 | First League |
| Aug 5, 2017 | Enisey(home) | 1-2 | First League |
| Aug 1, 2017 | Baltika(home) | 0-2 | First League |
| Jul 26, 2017 | Avangard Kursk(away) | 1-1 | First League |
| Jul 22, 2017 | Tambov(away) | 0-3 | First League |
What does the head-to-head say?
Across the last 2 meetings: 0 Fakel win(s), 1 draw(s), 1 Spartak Moscow 2 win(s).
| Date | Score | Competition |
|---|---|---|
| Nov 13, 2016 | Spartak Moscow 2 1-0 Fakel | First League |
| Jul 27, 2016 | Fakel 1-1 Spartak Moscow 2 | First League |
Last archived meeting: Spartak Moscow 2 vs Fakel on Nov 13, 2016
How many goals should we expect?
Fakel score 0.6 and concede 1.5 goals per match over their last 15; Spartak Moscow 2 score 1.3 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Fakel | 0.6 | 1.5 | 4 | 5/15 | 6/15 |
| Spartak Moscow 2 | 1.3 | 1.3 | 4 | 8/15 | 9/15 |
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