Tidaholms GoIF vs Ahlafors: result 1-1 and analysis
Division 2 - Norra GötalandNorra Götaland - 8Kick-off on May 17, 2025 at 12:00 PM (UTC)
Full time
What was the result of Tidaholms GoIF vs Ahlafors?
Tidaholms GoIF and Ahlafors drew 1-1 on May 17, 2025.
Goalscorers
- 24′572438Ahlafors
- 58′572472Tidaholms GoIF
What is the recent form of both teams?
Over their last 8 matches in all competitions, Tidaholms GoIF have 2 wins, 2 draws and 4 defeats; Ahlafors have 6, 7 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 9, 2025 | Skara(away) | 1-0 | Division 2 - Norra Götaland |
| May 4, 2025 | Kongahälla(home) | 0-1 | Division 2 - Norra Götaland |
| Apr 24, 2025 | Haga(home) | 3-1 | Division 2 - Norra Götaland |
| Apr 18, 2025 | Tord(away) | 1-1 | Division 2 - Norra Götaland |
| Apr 12, 2025 | Kumla(away) | 1-1 | Division 2 - Norra Götaland |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 11, 2025 | Motala(away) | 1-1 | Division 2 - Norra Götaland |
| May 3, 2025 | Vänersborgs IF(home) | 2-2 | Division 2 - Norra Götaland |
| Apr 27, 2025 | Tord(home) | 0-1 | Division 2 - Norra Götaland |
| Apr 18, 2025 | Haga(away) | 0-0 | Division 2 - Norra Götaland |
| Apr 13, 2025 | Herrestads(home) | 2-0 | Division 2 - Norra Götaland |
How many goals should we expect?
Tidaholms GoIF score 1.3 and concede 1.8 goals per match over their last 8; Ahlafors score 1.5 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Tidaholms GoIF | 1.3 | 1.8 | 1 | 6/8 | 4/8 |
| Ahlafors | 1.5 | 1.0 | 6 | 8/15 | 5/15 |
Over the last 8 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Ahlafors | 26 | 13 | 7 | 6 | 62 | 33 | 46 |
A question about Tidaholms GoIF vs Ahlafors?
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