Orgryte IS vs Angelholms FF: result 0-1 and analysis
SuperettanRegular Season - 2Kick-off on April 11, 2016 at 05:30 PM (UTC)Gamla Ullevi, Göteborg
Full time
What was the result of Orgryte IS vs Angelholms FF?
Angelholms FF won 0-1 on April 11, 2016.
Goalscorers
- 83′R. FinleyAngelholms FF
Official lineup for Orgryte IS vs Angelholms FF
The starting elevens fielded at kick-off.
Orgryte IS
- 9George Mourad
- 11William Atashkadeh
- 7J. Lindström
- 8A. Östling
- 14D. Paulson
- 17Björn Anklev
- 5J. Hammar
- 16S. Ohlsson
- 18Hampus Bohman
- 24Fredrik Björck
- 1Robertino Kljajic
Angelholms FF
- 7S. Carlsén
- 8C. Ljungberg
- 9V. Zlojutro
- 14J. Eiswohld
- 17P. Petrović
- 21Marcus Bergholtz
- 28O. Stojanovic Fredin
- 4P. Dyrestam
- 6A. Nilsson
- 24D. Stojanovic-Fredin
- 22C. Lindell
What is the recent form of both teams?
In their last match in all competitions, Orgryte IS have 0 wins, 1 draw and 0 defeats; Angelholms FF have 1, 0 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 3, 2016 | Ljungskile SK(away) | 1-1 | Superettan |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 3, 2016 | Syrianska FC(home) | 1-0 | Superettan |
How many goals should we expect?
Orgryte IS score 1.0 and concede 1.0 goals per match in their last match; Angelholms FF score 1.0 and concede 0.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Orgryte IS | 1.0 | 1.0 | 0 | 1/1 | 0/1 |
| Angelholms FF | 1.0 | 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 |
|---|---|---|---|---|---|---|---|---|
| 3 | Orgryte IS | 30 | 16 | 8 | 6 | 57 | 33 | 56 |
A question about Orgryte IS vs Angelholms FF?
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