Stocksund vs Mora: result 2-0 and analysis
Division 2 - Norra SvealandRegular Season - 6Kick-off on May 11, 2019 at 02:00 PM (UTC)Danderyds Gymnasium, Danderyd
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What was the result of Stocksund vs Mora?
Stocksund won 2-0 on May 11, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Stocksund have 8 wins, 3 draws and 4 defeats; Mora have 3, 4 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 3, 2019 | Lidingö(away) | 2-0 | Division 2 - Norra Svealand |
| Apr 27, 2019 | Sundbyberg(home) | 1-1 | Division 2 - Norra Svealand |
| Apr 19, 2019 | Kvarnsveden(away) | 4-2 | Division 2 - Norra Svealand |
| Apr 13, 2019 | Kungsängen(home) | 1-2 | Division 2 - Norra Svealand |
| Apr 6, 2019 | Gamla Upsala(away) | 4-1 | Division 2 - Norra Svealand |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 4, 2019 | Valbo(home) | 0-0 | Division 2 - Norra Svealand |
| Apr 27, 2019 | Lidingö(home) | 2-3 | Division 2 - Norra Svealand |
| Apr 22, 2019 | Sundbyberg(away) | 1-2 | Division 2 - Norra Svealand |
| Apr 13, 2019 | Kvarnsveden(home) | 2-2 | Division 2 - Norra Svealand |
| Apr 6, 2019 | Kungsängen(away) | 1-2 | Division 2 - Norra Svealand |
What does the head-to-head say?
Across the last 2 meetings: 2 Stocksund win(s), 0 draw(s), 0 Mora win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 6, 2018 | Mora 1-8 Stocksund | Division 2 - Norra Svealand |
| Jun 30, 2018 | Stocksund 7-2 Mora | Division 2 - Norra Svealand |
How many goals should we expect?
Stocksund score 2.5 and concede 1.3 goals per match over their last 15; Mora score 1.2 and concede 2.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Stocksund | 2.5 | 1.3 | 5 | 9/15 | 9/15 |
| Mora | 1.2 | 2.9 | 3 | 9/15 | 12/15 |
Over the last 15 matches in all competitions.
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