Mora vs Sundbyberg: result 1-0 and analysis
Division 2 - Norra SvealandRegular Season - 18Kick-off on August 25, 2018 at 02:00 PM (UTC)
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What was the result of Mora vs Sundbyberg?
Mora won 1-0 on August 25, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Mora have 4 wins, 0 draws and 11 defeats; Sundbyberg have 6, 1 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 19, 2018 | Skiljebo(home) | 0-6 | Division 2 - Norra Svealand |
| Aug 12, 2018 | Gute(away) | 4-5 | Division 2 - Norra Svealand |
| Aug 4, 2018 | Valbo(away) | 3-0 | Division 2 - Norra Svealand |
| Jul 7, 2018 | Vasalund(home) | 0-4 | Division 2 - Norra Svealand |
| Jun 30, 2018 | Stocksund(away) | 2-7 | Division 2 - Norra Svealand |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 18, 2018 | Gute(home) | 3-3 | Division 2 - Norra Svealand |
| Aug 12, 2018 | Vasalund(away) | 1-2 | Division 2 - Norra Svealand |
| Aug 4, 2018 | Stocksund(away) | 0-2 | Division 2 - Norra Svealand |
| Jul 4, 2018 | Valbo(home) | 2-1 | Division 2 - Norra Svealand |
| Jun 29, 2018 | Gamla Upsala(away) | 3-0 | Division 2 - Norra Svealand |
What does the head-to-head say?
In the last meeting: 0 Mora wins, 0 draws, 1 Sundbyberg win.
| Date | Score | Competition |
|---|---|---|
| May 5, 2018 | Sundbyberg 3-0 Mora | Division 2 - Norra Svealand |
How many goals should we expect?
Mora score 1.5 and concede 3.1 goals per match over their last 15; Sundbyberg score 1.3 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mora | 1.5 | 3.1 | 2 | 8/15 | 13/15 |
| Sundbyberg | 1.3 | 1.5 | 4 | 5/15 | 8/15 |
Over the last 15 matches in all competitions.
A question about Mora vs Sundbyberg?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy