Orgryte IS vs Atvidabergs FF: result 3-3 and analysis
SuperettanRegular Season - 15Kick-off on August 2, 2016 at 05:00 PM (UTC)Gamla Ullevi, Göteborg
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What was the result of Orgryte IS vs Atvidabergs FF?
Orgryte IS and Atvidabergs FF drew 3-3 on August 2, 2016.
Goalscorers
- 34′Ammar AhmedAtvidabergs FF
- 41′Martin Kayongo-MutumbaOrgryte IS
- 68′William AtashkadehOrgryte IS
- 73′Ammar AhmedAtvidabergs FF
- 79′Simon HelgAtvidabergs FF
- 82′George MouradOrgryte IS
What is the recent form of both teams?
Over their last 15 matches in all competitions, Orgryte IS have 6 wins, 2 draws and 7 defeats; Atvidabergs FF 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 |
|---|---|---|---|
| Jul 29, 2016 | Syrianska FC(home) | 2-0 | Superettan |
| Jul 23, 2016 | Degerfors IF(away) | 3-2 | Superettan |
| Jun 26, 2016 | Syrianska FC(away) | 3-0 | Superettan |
| Jun 18, 2016 | Dalkurd FF(home) | 0-1 | Superettan |
| Jun 11, 2016 | AFC Eskilstuna(away) | 0-2 | Superettan |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 30, 2016 | Assyriska FF(away) | 0-4 | Superettan |
| Jul 23, 2016 | Ljungskile SK(home) | 3-2 | Superettan |
| Jun 26, 2016 | IK Frej(home) | 0-1 | Superettan |
| Jun 18, 2016 | Angelholms FF(away) | 3-0 | Superettan |
| Jun 11, 2016 | Halmstad(home) | 1-1 | Superettan |
How many goals should we expect?
Orgryte IS score 1.5 and concede 1.3 goals per match over their last 15; Atvidabergs FF score 1.4 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Orgryte IS | 1.5 | 1.3 | 5 | 7/15 | 9/15 |
| Atvidabergs FF | 1.4 | 1.5 | 5 | 4/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 3 | Orgryte IS | 30 | 16 | 8 | 6 | 57 | 33 | 56 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy