Täby vs Ytterhogdal: result 8-0 and analysis
Division 2 - Norra SvealandNorra Svealand - 3Kick-off on April 12, 2025 at 02:00 PM (UTC)Vikingavallen, Täby
Full time
What was the result of Täby vs Ytterhogdal?
Täby won 8-0 on April 12, 2025.
Goalscorers
- 2′572573Täby
- 21′572573Täby
- 32′572583Täby
- 44′572551Täby
- 73′572584Täby
- 76′E. BulutTäby
- 78′E. BulutTäby
- 90′572584Täby
What is the recent form of both teams?
Over their last 15 matches in all competitions, Täby have 4 wins, 4 draws and 7 defeats; Ytterhogdal have 7, 2 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 5, 2025 | Sunnersta(away) | 1-5 | Division 2 - Norra Svealand |
| Mar 30, 2025 | Franke(home) | 1-1 | Division 2 - Norra Svealand |
| Mar 22, 2025 | Sylvia(away) | 3-1 | Friendlies Clubs |
| Nov 9, 2024 | FBK Karlstad(home) | 0-4 | Ettan - Norra |
| Nov 3, 2024 | Hammarby Talang(away) | 1-3 | Ettan - Norra |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 6, 2025 | Kungsängen(away) | 0-4 | Division 2 - Norra Svealand |
| Mar 29, 2025 | Sunnersta(home) | 1-5 | Division 2 - Norra Svealand |
| Oct 19, 2024 | Bergnäsets(home) | 3-1 | Division 2 - Norrland |
| Oct 12, 2024 | IFK Östersund(away) | 0-1 | Division 2 - Norrland |
| Oct 5, 2024 | Kiruna FF(home) | 2-0 | Division 2 - Norrland |
How many goals should we expect?
Täby score 1.2 and concede 1.8 goals per match over their last 15; Ytterhogdal score 1.5 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Täby | 1.2 | 1.8 | 3 | 7/15 | 8/15 |
| Ytterhogdal | 1.5 | 1.9 | 3 | 8/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 6 | Täby | 25 | 12 | 5 | 8 | 44 | 28 | 41 |
A question about Täby vs Ytterhogdal?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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