Halmstad vs Trelleborg: result 3-0 and analysis
SuperettanRegular Season - 2Kick-off on April 9, 2016 at 01:00 PM (UTC)Örjans Vall, Halmstad
Full time
What was the result of Halmstad vs Trelleborg?
Halmstad won 3-0 on April 9, 2016.
Goalscorers
- 2′A. TveterHalmstad
- 33′Fredrik OlssonHalmstad
- 45′S. HakšabanovićHalmstad (pen.)
Official lineup for Halmstad vs Trelleborg
The starting elevens fielded at kick-off.
Halmstad
- 7Junes Barny
- 9A. Tveter
- 11Fredrik Olsson
- 10Antonio Rojas
- 17S. Hakšabanović
- 2A. Kojic
- 3F. Liverstam
- 6Mohammed Ali Khan
- 21A. Bengtsson
- 27M. Johansson
- 1S. Lukić
Trelleborg
- 6Salif Mané Camara-Jönsson
- 8R. Andersson
- 10Zoran Jovanovic
- 15E. Andersson
- 21Magnus Andersson
- 24Mattias Bo-Erik Håkansson
- 28F. Motori
- 5A. Tideman
- 14A. Blomqvist
- 16L. Fridolf
- 1Fredrik Persson
What is the recent form of both teams?
In their last match in all competitions, Halmstad have 0 wins, 0 draws and 1 defeat; Trelleborg have 0, 1 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 4, 2016 | Sirius(away) | 1-2 | Superettan |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 4, 2016 | IFK Varnamo(home) | 0-0 | Superettan |
How many goals should we expect?
Halmstad score 1.0 and concede 2.0 goals per match in their last match; Trelleborg score 0.0 and concede 0.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Halmstad | 1.0 | 2.0 | 0 | 1/1 | 1/1 |
| Trelleborg | 0.0 | 0.0 | 1 | 0/1 | 0/1 |
Over the last match in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 15 | Trelleborg | 30 | 5 | 7 | 18 | 23 | 51 | 22 |
A question about Halmstad vs Trelleborg?
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