Karlberg vs Järfälla: result 6-1 and analysis
Division 2 - Norra SvealandNorra Svealand - 20Kick-off on August 14, 2021 at 12:00 PM (UTC)Kristinebergs IP, Stockholm
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What was the result of Karlberg vs Järfälla?
Karlberg won 6-1 on August 14, 2021.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Karlberg have 7 wins, 4 draws and 4 defeats; Järfälla have 7, 2 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 8, 2021 | Arlanda(away) | 2-1 | Division 2 - Norra Svealand |
| Aug 4, 2021 | Lidingö(away) | 3-2 | Division 2 - Norra Svealand |
| Jul 31, 2021 | Arlanda(home) | 7-0 | Division 2 - Norra Svealand |
| Jul 2, 2021 | Sandvikens AIK(away) | 5-0 | Division 2 - Norra Svealand |
| Jun 23, 2021 | IFK Österåker(away) | 3-2 | Division 2 - Norra Svealand |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 8, 2021 | Enskede(home) | 4-1 | Division 2 - Norra Svealand |
| Aug 4, 2021 | Stocksund(home) | 2-7 | Division 2 - Norra Svealand |
| Jul 31, 2021 | Enskede(away) | 3-0 | Division 2 - Norra Svealand |
| Jul 10, 2021 | Enköping(away) | 1-1 | Division 2 - Norra Svealand |
| Jul 7, 2021 | Arlanda(home) | 5-1 | Division 2 - Norra Svealand |
How many goals should we expect?
Karlberg score 2.1 and concede 1.0 goals per match over their last 15; Järfälla score 2.5 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Karlberg | 2.1 | 1.0 | 5 | 9/15 | 9/15 |
| Järfälla | 2.5 | 1.9 | 2 | 9/12 | 10/12 |
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 Karlberg vs Järfälla?
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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