Rågsved vs Järfälla: result 2-1 and analysis
Division 2 - Norra SvealandNorra Svealand - 11Kick-off on June 5, 2022 at 02:00 PM (UTC)Hagsätra IP, Stockholm
Full time
What was the result of Rågsved vs Järfälla?
Rågsved won 2-1 on June 5, 2022.
What is the recent form of both teams?
Over their last 11 matches in all competitions, Rågsved have 6 wins, 1 draw and 4 defeats; Järfälla have 4, 5 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 26, 2022 | Forsbacka(home) | 3-1 | Division 2 - Norra Svealand |
| May 22, 2022 | Hudiksvall(away) | 1-3 | Division 2 - Norra Svealand |
| May 15, 2022 | Stocksund(home) | 2-4 | Division 2 - Norra Svealand |
| May 8, 2022 | Uppsala(away) | 2-2 | Division 2 - Norra Svealand |
| May 1, 2022 | IFK Österåker(home) | 1-0 | Division 2 - Norra Svealand |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 29, 2022 | Korsnäs(home) | 3-2 | Division 2 - Norra Svealand |
| May 26, 2022 | Kvarnsveden(away) | 2-2 | Division 2 - Norra Svealand |
| May 22, 2022 | Sandvikens AIK(home) | 1-2 | Division 2 - Norra Svealand |
| May 15, 2022 | Skiljebo(away) | 1-1 | Division 2 - Norra Svealand |
| May 7, 2022 | Gute(away) | 0-3 | Division 2 - Norra Svealand |
How many goals should we expect?
Rågsved score 2.1 and concede 2.0 goals per match over their last 11; Järfälla score 1.5 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Rågsved | 2.1 | 2.0 | 3 | 7/11 | 9/11 |
| Järfälla | 1.5 | 1.6 | 3 | 11/15 | 12/15 |
Over the last 11 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 Rågsved vs Järfälla?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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