Fanna BK vs Kungsängen: result 5-4 and analysis
Division 2 - Norra SvealandNorra Svealand - 8Kick-off on September 12, 2020 at 02:00 PM (UTC)Fanna IP B-plan, Enköping
Full time
What was the result of Fanna BK vs Kungsängen?
Fanna BK won 5-4 on September 12, 2020.
What is the recent form of both teams?
Over their last 7 matches in all competitions, Fanna BK have 1 win, 1 draw and 5 defeats; Kungsängen have 3, 1 and 11.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 5, 2020 | Stocksund(away) | 1-2 | Division 2 - Norra Svealand |
| Aug 29, 2020 | Lidingö(home) | 1-3 | Division 2 - Norra Svealand |
| Aug 22, 2020 | Fagersta Södra IK(away) | 2-2 | Division 2 - Norra Svealand |
| Aug 15, 2020 | Stockholm Internazionale(away) | 1-2 | Division 2 - Norra Svealand |
| Aug 8, 2020 | IFK Österåker(home) | 1-3 | Division 2 - Norra Svealand |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 5, 2020 | Stockholm Internazionale(home) | 0-3 | Division 2 - Norra Svealand |
| Aug 29, 2020 | IFK Österåker(away) | 1-2 | Division 2 - Norra Svealand |
| Aug 22, 2020 | Gamla Upsala(home) | 3-2 | Division 2 - Norra Svealand |
| Aug 15, 2020 | Hudiksvall(away) | 3-4 | Division 2 - Norra Svealand |
| Aug 10, 2020 | Skiljebo(home) | 0-3 | Division 2 - Norra Svealand |
How many goals should we expect?
Fanna BK score 1.1 and concede 2.0 goals per match over their last 7; Kungsängen score 1.2 and concede 2.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Fanna BK | 1.1 | 2.0 | 1 | 6/7 | 6/7 |
| Kungsängen | 1.2 | 2.7 | 2 | 9/15 | 11/15 |
Over the last 7 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | Kungsängen | 26 | 5 | 11 | 10 | 32 | 41 | 26 |
A question about Fanna BK vs Kungsängen?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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