Russia vs Scotland: result 4-0 and analysis
Euro ChampionshipQualifying Round - 7Kick-off on October 10, 2019 at 06:45 PM (UTC)Stadion Luzhniki, Moskva
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What was the result of Russia vs Scotland?
Russia won 4-0 on October 10, 2019.
Goalscorers
- 57′A. DzyubaRussia
- 60′M. OzdoevRussia
- 70′A. DzyubaRussia
- 84′A. GolovinRussia
What is the recent form of both teams?
Over their last 15 matches in all competitions, Russia have 8 wins, 3 draws and 4 defeats; Scotland have 6, 0 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 9, 2019 | Kazakhstan(home) | 1-0 | Euro Championship |
| Sep 6, 2019 | Scotland(away) | 2-1 | Euro Championship |
| Jun 11, 2019 | Cyprus(home) | 1-0 | Euro Championship |
| Jun 8, 2019 | San Marino(home) | 9-0 | Euro Championship |
| Mar 24, 2019 | Kazakhstan(away) | 4-0 | Euro Championship |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 9, 2019 | Belgium(home) | 0-4 | Euro Championship |
| Sep 6, 2019 | Russia(home) | 1-2 | Euro Championship |
| Jun 11, 2019 | Belgium(away) | 0-3 | Euro Championship |
| Jun 8, 2019 | Cyprus(home) | 2-1 | Euro Championship |
| Mar 24, 2019 | San Marino(away) | 2-0 | Euro Championship |
What does the head-to-head say?
Across the last 1 meetings: 1 Russia win(s), 0 draw(s), 0 Scotland win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 6, 2019 | Scotland 1-2 Russia | Euro Championship |
How many goals should we expect?
Russia score 2.0 and concede 1.1 goals per match over their last 15; Scotland score 1.1 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Russia | 2.0 | 1.1 | 6 | 6/15 | 9/15 |
| Scotland | 1.1 | 1.8 | 4 | 5/15 | 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 | Scotland | 3 | 0 | 1 | 2 | 2 | 7 | 1 |
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