Alaniya Vladikavkaz vs Tekstilshchik: result 4-0 and analysis
First LeagueRegular Season - 8Kick-off on August 29, 2021 at 04:00 PM (UTC)Respublikanskiy stadion Spartak, Vladikavkaz
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What was the result of Alaniya Vladikavkaz vs Tekstilshchik?
Alaniya Vladikavkaz won 4-0 on August 29, 2021.
Goalscorers
- 6′I. MashukovAlaniya Vladikavkaz
- 18′Vadim SteklovAlaniya Vladikavkaz (o.g.)
- 71′A. TataevAlaniya Vladikavkaz
- 90′B. GurtsievAlaniya Vladikavkaz
What is the recent form of both teams?
Over their last 13 matches in all competitions, Alaniya Vladikavkaz have 5 wins, 4 draws and 4 defeats; Tekstilshchik have 2, 4 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 25, 2021 | Legion Dynamo(away) | 3-2 | Cup |
| Aug 21, 2021 | Veles(away) | 2-2 | First League |
| Aug 15, 2021 | Spartak Moscow 2(away) | 2-3 | First League |
| Aug 8, 2021 | Urozhay(home) | 3-2 | First League |
| Jul 31, 2021 | Enisey(away) | 3-0 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 20, 2021 | Spartak Moscow 2(home) | 1-2 | First League |
| Aug 14, 2021 | Urozhay(away) | 0-1 | First League |
| Aug 8, 2021 | Enisey(home) | 0-1 | First League |
| Aug 4, 2021 | Metallurg Lipetsk(away) | 0-1 | Cup |
| Jul 31, 2021 | Torpedo Moskva(away) | 0-0 | First League |
How many goals should we expect?
Alaniya Vladikavkaz score 2.1 and concede 1.9 goals per match over their last 13; Tekstilshchik score 0.7 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Alaniya Vladikavkaz | 2.1 | 1.9 | 1 | 12/13 | 11/13 |
| Tekstilshchik | 0.7 | 1.2 | 4 | 5/15 | 5/15 |
Over the last 13 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 14 | Tekstilshchik | 8 | 1 | 3 | 4 | 5 | 10 | 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