Dinamo Makhachkala vs Shinnik Yaroslavl: result 2-1 and analysis
First LeagueRegular Season - 4Kick-off on August 7, 2022 at 04:00 PM (UTC)Anzhi-Arena, Kaspiysk
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What was the result of Dinamo Makhachkala vs Shinnik Yaroslavl?
Dinamo Makhachkala won 2-1 on August 7, 2022.
Goalscorers
- 27′R. MagomedovDinamo Makhachkala
- 64′D. SamoylovShinnik Yaroslavl
- 86′C. AgabalaevDinamo Makhachkala
What is the recent form of both teams?
Over their last 15 matches in all competitions, Dinamo Makhachkala have 12 wins, 2 draws and 1 defeats; Shinnik Yaroslavl have 8, 5 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 31, 2022 | Volgar Astrakhan(away) | 1-2 | First League |
| Jul 24, 2022 | Veles(home) | 1-0 | First League |
| Jul 18, 2022 | Alaniya Vladikavkaz(away) | 0-0 | First League |
| Jul 11, 2022 | Legion Dynamo(home) | 3-0 | Friendlies Clubs |
| Jul 4, 2022 | Dinamo Stavropol(home) | 3-0 | Friendlies Clubs |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 31, 2022 | Baltika(home) | 1-1 | First League |
| Jul 24, 2022 | Akron(away) | 3-2 | First League |
| Jul 17, 2022 | Krasnodar 2(home) | 0-2 | First League |
| Jun 27, 2022 | FK Neftekhimik(away) | 2-2 | Friendlies Clubs |
| Jun 23, 2022 | Ska-khabarovsk(away) | 0-3 | Friendlies Clubs |
How many goals should we expect?
Dinamo Makhachkala score 2.1 and concede 0.3 goals per match over their last 15; Shinnik Yaroslavl score 1.5 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Dinamo Makhachkala | 2.1 | 0.3 | 12 | 3/15 | 9/15 |
| Shinnik Yaroslavl | 1.5 | 1.1 | 5 | 8/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Shinnik Yaroslavl | 7 | 3 | 3 | 1 | 12 | 9 | 12 |
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