Farsta vs Hudiksvall: result 1-0 and analysis
Division 2 - Norra SvealandNorra Svealand - 16Kick-off on August 10, 2024 at 02:00 PM (UTC)Farsta IP, Stockholm
Full time
What was the result of Farsta vs Hudiksvall?
Farsta won 1-0 on August 10, 2024.
Goalscorers
- 52′?Farsta
What is the recent form of both teams?
Over their last 15 matches in all competitions, Farsta have 3 wins, 6 draws and 6 defeats; Hudiksvall have 5, 6 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 3, 2024 | Viggbyholms IK(away) | 1-3 | Division 2 - Norra Svealand |
| Jun 30, 2024 | Skiljebo(home) | 1-1 | Division 2 - Norra Svealand |
| Jun 25, 2024 | Enköping(away) | 0-2 | Division 2 - Norra Svealand |
| Jun 15, 2024 | Franke(home) | 0-4 | Division 2 - Norra Svealand |
| Jun 8, 2024 | Gute(home) | 3-1 | Division 2 - Norra Svealand |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 4, 2024 | IFK Österåker(home) | 1-1 | Division 2 - Norra Svealand |
| Jun 29, 2024 | Järfälla(away) | 1-2 | Division 2 - Norra Svealand |
| Jun 26, 2024 | IFK Östersund(away) | 0-1 | Svenska Cupen |
| Jun 23, 2024 | Dalkurd FF(home) | 1-0 | Division 2 - Norra Svealand |
| Jun 15, 2024 | Sandvikens AIK(away) | 1-1 | Division 2 - Norra Svealand |
What does the head-to-head say?
In the last meeting: 0 Farsta wins, 1 draw, 0 Hudiksvall wins.
| Date | Score | Competition |
|---|---|---|
| Apr 14, 2024 | Hudiksvall 1-1 Farsta | Division 2 - Norra Svealand |
How many goals should we expect?
Farsta score 1.7 and concede 2.1 goals per match over their last 15; Hudiksvall score 1.3 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Farsta | 1.7 | 2.1 | 2 | 11/15 | 10/15 |
| Hudiksvall | 1.3 | 1.3 | 4 | 10/15 | 5/15 |
Over the last 15 matches in all competitions.
A question about Farsta 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