Volgar Astrakhan vs Torpedo Moskva: result 3-2 and analysis
First LeagueRegular Season - 20Kick-off on November 7, 2020 at 12:00 PM (UTC)Central'nyj Stadion Astrakhan'gazprom, Astrakhan'
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What was the result of Volgar Astrakhan vs Torpedo Moskva?
Volgar Astrakhan won 3-2 on November 7, 2020.
Goalscorers
- 7′D. VorobjevVolgar Astrakhan
- 37′A. PogosovVolgar Astrakhan
- 45′A. KalmykovTorpedo Moskva
- 53′R. LoktionovVolgar Astrakhan
- 69′A. RyazantsevTorpedo Moskva
What is the recent form of both teams?
Over their last 15 matches in all competitions, Volgar Astrakhan have 6 wins, 3 draws and 6 defeats; Torpedo Moskva have 11, 1 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 1, 2020 | Shinnik Yaroslavl(away) | 1-2 | First League |
| Oct 28, 2020 | Fakel(home) | 2-1 | First League |
| Oct 24, 2020 | Spartak Moscow 2(home) | 2-0 | First League |
| Oct 17, 2020 | Krylia Sovetov(away) | 0-3 | First League |
| Oct 13, 2020 | Tekstilshchik(home) | 0-0 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 1, 2020 | Krylia Sovetov(home) | 3-1 | First League |
| Oct 28, 2020 | Tekstilshchik(away) | 3-1 | First League |
| Oct 24, 2020 | Alaniya II(home) | 2-0 | First League |
| Oct 17, 2020 | FK Neftekhimik(home) | 4-0 | First League |
| Oct 13, 2020 | Dinamo Bryansk(home) | 3-0 | First League |
How many goals should we expect?
Volgar Astrakhan score 1.1 and concede 1.1 goals per match over their last 15; Torpedo Moskva score 2.3 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Volgar Astrakhan | 1.1 | 1.1 | 4 | 8/15 | 7/15 |
| Torpedo Moskva | 2.3 | 0.7 | 8 | 6/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Torpedo Moskva | 7 | 4 | 1 | 2 | 13 | 5 | 13 |
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