Järfälla vs Sandvikens AIK: result 4-0 and analysis
Division 2 - Norra SvealandNorra Svealand - 23Kick-off on September 4, 2021 at 02:00 PM (UTC)Järfällavallen, Järfälla
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What was the result of Järfälla vs Sandvikens AIK?
Järfälla won 4-0 on September 4, 2021.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Järfälla have 9 wins, 2 draws and 4 defeats; Sandvikens AIK have 3, 2 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 28, 2021 | Kvarnsveden(away) | 2-1 | Division 2 - Norra Svealand |
| Aug 25, 2021 | Gamla Upsala(away) | 4-1 | Division 2 - Norra Svealand |
| Aug 21, 2021 | Enköping(home) | 2-1 | Division 2 - Norra Svealand |
| Aug 14, 2021 | Karlberg(away) | 1-6 | Division 2 - Norra Svealand |
| Aug 8, 2021 | Enskede(home) | 4-1 | Division 2 - Norra Svealand |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 1, 2021 | Stockholm Internazionale(away) | 0-0 | Division 2 - Norra Svealand |
| Aug 28, 2021 | Lidingö(home) | 0-0 | Division 2 - Norra Svealand |
| Aug 14, 2021 | IFK Österåker(home) | 0-2 | Division 2 - Norra Svealand |
| Aug 7, 2021 | Kungsängen(away) | 0-3 | Division 2 - Norra Svealand |
| Jul 31, 2021 | Kungsängen(home) | 3-1 | Division 2 - Norra Svealand |
How many goals should we expect?
Järfälla score 2.4 and concede 2.0 goals per match over their last 15; Sandvikens AIK score 1.2 and concede 2.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Järfälla | 2.4 | 2.0 | 2 | 12/15 | 13/15 |
| Sandvikens AIK | 1.2 | 2.2 | 3 | 6/13 | 8/13 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Järfälla | 26 | 19 | 4 | 3 | 60 | 19 | 61 |
A question about Järfälla vs Sandvikens AIK?
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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