Alaniya II vs Fakel: result 2-0 and analysis
First LeagueRegular Season - 35Kick-off on April 7, 2021 at 01:00 PM (UTC)Respublikanskiy stadion Spartak, Vladikavkaz
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What was the result of Alaniya II vs Fakel?
Alaniya II won 2-0 on April 7, 2021.
Goalscorers
- 58′A. KhabalovAlaniya II
- 64′I. MashukovAlaniya II
What is the recent form of both teams?
Over their last 15 matches in all competitions, Alaniya II have 7 wins, 5 draws and 3 defeats; Fakel have 10, 4 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 3, 2021 | Volgar Astrakhan(away) | 0-1 | First League |
| Mar 28, 2021 | Krylia Sovetov(home) | 0-1 | First League |
| Mar 24, 2021 | Tekstilshchik(away) | 2-0 | First League |
| Mar 20, 2021 | Spartak Moscow 2(away) | 3-3 | First League |
| Mar 14, 2021 | FK Neftekhimik(home) | 1-1 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 3, 2021 | FK Neftekhimik(home) | 1-1 | First League |
| Mar 28, 2021 | Dinamo Bryansk(away) | 2-0 | First League |
| Mar 24, 2021 | Irtysh Omsk(home) | 3-1 | First League |
| Mar 20, 2021 | TOM Tomsk(away) | 3-0 | First League |
| Mar 14, 2021 | Chertanovo Moscow(home) | 4-1 | First League |
What does the head-to-head say?
Across the last 1 meetings: 0 Alaniya II win(s), 1 draw(s), 0 Fakel win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 13, 2020 | Fakel 0-0 Alaniya II | First League |
How many goals should we expect?
Alaniya II score 1.7 and concede 0.9 goals per match over their last 15; Fakel score 2.2 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Alaniya II | 1.7 | 0.9 | 6 | 7/15 | 6/15 |
| Fakel | 2.2 | 0.9 | 6 | 9/15 | 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