Fagersta Södra IK vs Kungsängen: result 0-6 and analysis
Division 2 - Norra SvealandNorra Svealand - 13Kick-off on October 18, 2020 at 12:00 PM (UTC)Onsjövallen, Fagersta
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What was the result of Fagersta Södra IK vs Kungsängen?
Kungsängen won 0-6 on October 18, 2020.
What is the recent form of both teams?
Over their last 12 matches in all competitions, Fagersta Södra IK have 1 win, 1 draw and 10 defeats; Kungsängen have 2, 1 and 12.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 10, 2020 | Gamla Upsala(away) | 2-6 | Division 2 - Norra Svealand |
| Oct 3, 2020 | Enskede(home) | 0-3 | Division 2 - Norra Svealand |
| Sep 26, 2020 | Stocksund(home) | 1-3 | Division 2 - Norra Svealand |
| Sep 19, 2020 | Hudiksvall(away) | 0-7 | Division 2 - Norra Svealand |
| Sep 12, 2020 | Skiljebo(away) | 1-2 | Division 2 - Norra Svealand |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 11, 2020 | Enskede(home) | 1-3 | Division 2 - Norra Svealand |
| Oct 3, 2020 | Karlberg(away) | 2-1 | Division 2 - Norra Svealand |
| Sep 26, 2020 | Lidingö(home) | 1-3 | Division 2 - Norra Svealand |
| Sep 19, 2020 | Stocksund(away) | 0-2 | Division 2 - Norra Svealand |
| Sep 12, 2020 | Fanna BK(away) | 4-5 | Division 2 - Norra Svealand |
How many goals should we expect?
Fagersta Södra IK score 0.8 and concede 3.8 goals per match over their last 12; Kungsängen score 1.4 and concede 3.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Fagersta Södra IK | 0.8 | 3.8 | 0 | 6/12 | 12/12 |
| Kungsängen | 1.4 | 3.0 | 0 | 11/15 | 13/15 |
Over the last 12 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 Fagersta Södra IK vs Kungsängen?
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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