Fagersta Södra IK vs Enskede: result 0-3 and analysis
Division 2 - Norra SvealandNorra Svealand - 11Kick-off on October 3, 2020 at 02:00 PM (UTC)Onsjövallen, Fagersta
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What was the result of Fagersta Södra IK vs Enskede?
Enskede won 0-3 on October 3, 2020.
What is the recent form of both teams?
Over their last 10 matches in all competitions, Fagersta Södra IK have 1 win, 1 draw and 8 defeats; Enskede have 6, 2 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Sep 5, 2020 | Lidingö(home) | 3-2 | Division 2 - Norra Svealand |
| Aug 29, 2020 | Kvarnsveden(away) | 1-5 | Division 2 - Norra Svealand |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 26, 2020 | Fanna BK(home) | 5-2 | Division 2 - Norra Svealand |
| Sep 19, 2020 | Lidingö(away) | 3-2 | Division 2 - Norra Svealand |
| Sep 12, 2020 | Stockholm Internazionale(away) | 1-1 | Division 2 - Norra Svealand |
| Sep 5, 2020 | IFK Österåker(home) | 5-2 | Division 2 - Norra Svealand |
| Aug 29, 2020 | Gamla Upsala(away) | 2-3 | Division 2 - Norra Svealand |
How many goals should we expect?
Fagersta Södra IK score 0.8 and concede 3.7 goals per match over their last 10; Enskede score 2.1 and concede 2.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Fagersta Södra IK | 0.8 | 3.7 | 0 | 5/10 | 10/10 |
| Enskede | 2.1 | 2.7 | 2 | 10/15 | 12/15 |
Over the last 10 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Enskede | 26 | 17 | 4 | 5 | 43 | 24 | 55 |
A question about Fagersta Södra IK vs Enskede?
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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