Fremad Amager vs Hobro: result 4-1 and analysis
1. DivisionRegular Season - 9Kick-off on September 18, 2016 at 11:45 AM (UTC)Sundby Idrætspark, København
Full time
What was the result of Fremad Amager vs Hobro?
Fremad Amager won 4-1 on September 18, 2016.
Goalscorers
- 10′A. AbangHobro
- 57′Mohammed AbdalasFremad Amager
- 82′C. Groth MøllerFremad Amager
- 86′Mohammed AbdalasFremad Amager
- 87′Mohammed AbdalasFremad Amager
What is the recent form of both teams?
Over their last 15 matches in all competitions, Fremad Amager have 7 wins, 4 draws and 4 defeats; Hobro 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 |
|---|---|---|---|
| Sep 11, 2016 | Roskilde(away) | 0-1 | 1. Division |
| Aug 31, 2016 | VB 1968(away) | 2-0 | DBU Pokalen |
| Aug 28, 2016 | Skive(home) | 5-0 | 1. Division |
| Aug 21, 2016 | HB Koge(away) | 1-1 | 1. Division |
| Aug 14, 2016 | Vendsyssel FF(home) | 1-1 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 11, 2016 | Nykobing FC(home) | 1-0 | 1. Division |
| Sep 7, 2016 | Vendsyssel FF(away) | 0-2 | DBU Pokalen |
| Sep 4, 2016 | FC Fredericia(away) | 0-0 | 1. Division |
| Aug 29, 2016 | Vendsyssel FF(home) | 4-0 | 1. Division |
| Aug 18, 2016 | Skive(away) | 4-1 | 1. Division |
How many goals should we expect?
Fremad Amager score 1.7 and concede 1.1 goals per match over their last 15; Hobro score 1.5 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Fremad Amager | 1.7 | 1.1 | 5 | 7/15 | 6/15 |
| Hobro | 1.5 | 1.3 | 5 | 6/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Hobro | 10 | 4 | 2 | 4 | 13 | 17 | 14 |
A question about Fremad Amager vs Hobro?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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