Järfälla vs Hudiksvall: result 2-1 and analysis
Division 2 - Norra SvealandNorra Svealand - 3Kick-off on April 17, 2022 at 01:00 PM (UTC)Järfällavallen, Järfälla
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What was the result of Järfälla vs Hudiksvall?
Järfälla won 2-1 on April 17, 2022.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Järfälla have 4 wins, 3 draws and 8 defeats; Hudiksvall have 3, 5 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 9, 2022 | Stocksund(away) | 1-2 | Division 2 - Norra Svealand |
| Apr 3, 2022 | Uppsala(home) | 2-2 | Division 2 - Norra Svealand |
| Nov 27, 2021 | Kvarnsveden(home) | 0-0 | Division 2 - Norra Svealand |
| Nov 20, 2021 | Sandvikens AIK(away) | 2-3 | Division 2 - Norra Svealand |
| Nov 14, 2021 | Skiljebo(home) | 0-0 | Division 2 - Norra Svealand |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 9, 2022 | Akropolis(home) | 3-0 | Division 2 - Norra Svealand |
| Apr 3, 2022 | Forsbacka(home) | 4-0 | Division 2 - Norra Svealand |
| Nov 21, 2021 | Assyriska FF(home) | 1-1 | Ettan - Norra |
| Nov 14, 2021 | Dalkurd FF(away) | 0-3 | Ettan - Norra |
| Nov 6, 2021 | IFK Luleå(away) | 0-4 | Ettan - Norra |
How many goals should we expect?
Järfälla score 1.6 and concede 1.7 goals per match over their last 15; Hudiksvall score 1.1 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Järfälla | 1.6 | 1.7 | 3 | 11/15 | 12/15 |
| Hudiksvall | 1.1 | 2.0 | 5 | 7/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Järfälla | 26 | 19 | 4 | 3 | 60 | 19 | 61 |
A question about Järfälla vs Hudiksvall?
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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