Dalkurd FF vs Falu BS: result 1-1 and analysis
Division 2 - Norra SvealandNorra Svealand - 12Kick-off on June 15, 2024 at 03:30 PM (UTC)Studenternas IP, Uppsala
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What was the result of Dalkurd FF vs Falu BS?
Dalkurd FF and Falu BS drew 1-1 on June 15, 2024.
Goalscorers
- 41′?Dalkurd FF
- 57′?Falu BS
What is the recent form of both teams?
Over their last 15 matches in all competitions, Dalkurd FF have 1 wins, 3 draws and 11 defeats; Falu BS have 4, 3 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 9, 2024 | Viggbyholms IK(home) | 1-1 | Division 2 - Norra Svealand |
| Jun 1, 2024 | Skiljebo(away) | 2-2 | Division 2 - Norra Svealand |
| May 25, 2024 | Franke(home) | 0-3 | Division 2 - Norra Svealand |
| May 18, 2024 | Enköping(away) | 0-8 | Division 2 - Norra Svealand |
| May 12, 2024 | Gute(home) | 1-5 | Division 2 - Norra Svealand |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 9, 2024 | Hudiksvall(home) | 1-3 | Division 2 - Norra Svealand |
| Jun 1, 2024 | Viggbyholms IK(away) | 0-0 | Division 2 - Norra Svealand |
| May 25, 2024 | Skiljebo(home) | 0-1 | Division 2 - Norra Svealand |
| May 18, 2024 | Franke(away) | 2-0 | Division 2 - Norra Svealand |
| May 12, 2024 | Enköping(home) | 1-1 | Division 2 - Norra Svealand |
How many goals should we expect?
Dalkurd FF score 1.0 and concede 2.9 goals per match over their last 15; Falu BS score 1.3 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Dalkurd FF | 1.0 | 2.9 | 1 | 10/15 | 10/15 |
| Falu BS | 1.3 | 1.4 | 3 | 6/12 | 5/12 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Falu BS | 13 | 7 | 4 | 2 | 20 | 11 | 25 |
| 4 | Falu BS | 18 | 10 | 4 | 4 | 28 | 19 | 34 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy