Dalkurd FF vs Franke: result 0-3 and analysis
Division 2 - Norra SvealandNorra Svealand - 9Kick-off on May 25, 2024 at 12:00 PM (UTC)Studenternas IP, Uppsala
Full time
What was the result of Dalkurd FF vs Franke?
Franke won 0-3 on May 25, 2024.
Goalscorers
- 51′?Franke
- 65′?Franke
- 90′?Franke
What is the recent form of both teams?
Over their last 15 matches in all competitions, Dalkurd FF have 2 wins, 3 draws and 10 defeats; Franke have 5, 4 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 18, 2024 | Enköping(away) | 0-8 | Division 2 - Norra Svealand |
| May 12, 2024 | Gute(home) | 1-5 | Division 2 - Norra Svealand |
| May 4, 2024 | Arlanda(away) | 2-5 | Division 2 - Norra Svealand |
| Apr 28, 2024 | Farsta(home) | 2-4 | Division 2 - Norra Svealand |
| Apr 20, 2024 | IFK Österåker(away) | 1-3 | Division 2 - Norra Svealand |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 18, 2024 | Falu BS(home) | 0-2 | Division 2 - Norra Svealand |
| May 12, 2024 | Hudiksvall(away) | 4-1 | Division 2 - Norra Svealand |
| May 5, 2024 | Viggbyholms IK(home) | 1-1 | Division 2 - Norra Svealand |
| Apr 28, 2024 | Skiljebo(away) | 3-0 | Division 2 - Norra Svealand |
| Apr 20, 2024 | Kungsängen(home) | 2-1 | Division 2 - Norra Svealand |
How many goals should we expect?
Dalkurd FF score 1.0 and concede 2.6 goals per match over their last 15; Franke score 1.9 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Dalkurd FF | 1.0 | 2.6 | 3 | 9/15 | 8/15 |
| Franke | 1.9 | 2.1 | 1 | 11/15 | 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 Dalkurd FF vs Franke?
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