Sundbyberg vs Mora: result 2-1 and analysis
Division 2 - Norra SvealandRegular Season - 3Kick-off on April 22, 2019 at 12:00 PM (UTC)
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What was the result of Sundbyberg vs Mora?
Sundbyberg won 2-1 on April 22, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sundbyberg have 3 wins, 6 draws and 6 defeats; Mora have 4, 3 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 13, 2019 | Lidingö(away) | 1-2 | Division 2 - Norra Svealand |
| Apr 6, 2019 | Valbo(home) | 1-2 | Division 2 - Norra Svealand |
| Oct 20, 2018 | Lidingö(home) | 2-2 | Division 2 - Norra Svealand |
| Oct 14, 2018 | Bollnäs(away) | 2-2 | Division 2 - Norra Svealand |
| Oct 6, 2018 | Gamla Upsala(home) | 4-3 | Division 2 - Norra Svealand |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 13, 2019 | Kvarnsveden(home) | 2-2 | Division 2 - Norra Svealand |
| Apr 6, 2019 | Kungsängen(away) | 1-2 | Division 2 - Norra Svealand |
| Oct 20, 2018 | Bollnäs(home) | 0-4 | Division 2 - Norra Svealand |
| Oct 13, 2018 | Gamla Upsala(away) | 2-2 | Division 2 - Norra Svealand |
| Oct 6, 2018 | Stocksund(home) | 1-8 | Division 2 - Norra Svealand |
What does the head-to-head say?
Across the last 2 meetings: 1 Sundbyberg win(s), 0 draw(s), 1 Mora win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 25, 2018 | Mora 1-0 Sundbyberg | Division 2 - Norra Svealand |
| May 5, 2018 | Sundbyberg 3-0 Mora | Division 2 - Norra Svealand |
How many goals should we expect?
Sundbyberg score 1.6 and concede 1.9 goals per match over their last 15; Mora score 1.5 and concede 3.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sundbyberg | 1.6 | 1.9 | 0 | 12/15 | 11/15 |
| Mora | 1.5 | 3.1 | 3 | 8/15 | 13/15 |
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