Järfälla vs Franke: result 2-3 and analysis
Division 2 - Norra SvealandNorra Svealand - 3Kick-off on April 16, 2023 at 02:00 PM (UTC)Järfällavallen, Järfälla
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What was the result of Järfälla vs Franke?
Franke won 2-3 on April 16, 2023.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Järfälla have 8 wins, 1 draw and 6 defeats; Franke have 4, 4 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 6, 2023 | Enskede(away) | 0-1 | Division 2 - Norra Svealand |
| Apr 1, 2023 | Viggbyholms IK(home) | 5-0 | Division 2 - Norra Svealand |
| Oct 15, 2022 | Rågsved(home) | 1-4 | Division 2 - Norra Svealand |
| Oct 9, 2022 | Kungsängen(away) | 3-0 | Division 2 - Norra Svealand |
| Oct 2, 2022 | IFK Österåker(home) | 2-1 | Division 2 - Norra Svealand |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 8, 2023 | Arlanda(home) | 1-2 | Division 2 - Norra Svealand |
| Apr 1, 2023 | Kvarnsveden(away) | 3-2 | Division 2 - Norra Svealand |
| May 21, 2019 | Gamla Upsala(home) | 0-2 | Svenska Cupen |
| Oct 15, 2016 | Värmdö(away) | 0-5 | Division 2 - Norra Svealand |
| Oct 8, 2016 | Skiljebo(home) | 3-3 | Division 2 - Norra Svealand |
How many goals should we expect?
Järfälla score 2.3 and concede 1.4 goals per match over their last 15; Franke score 1.5 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Järfälla | 2.3 | 1.4 | 7 | 6/15 | 11/15 |
| Franke | 1.5 | 1.9 | 3 | 9/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | Franke | 25 | 10 | 4 | 11 | 45 | 43 | 34 |
A question about Järfälla vs Franke?
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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