jerv vs Asane: result 2-0 and analysis
1. DivisionRegular Season - 24Kick-off on September 11, 2016 at 01:00 PM (UTC)J.J. Ugland Stadion, Grimstad
Full time
What was the result of jerv vs Asane?
jerv won 2-0 on September 11, 2016.
Goalscorers
- 24′Andreas Hagenjerv
- 88′Glenn Brevik Andersenjerv
What is the recent form of both teams?
Over their last 15 matches in all competitions, jerv have 9 wins, 4 draws and 2 defeats; Asane have 4, 4 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 29, 2016 | Fredrikstad(away) | 1-2 | 1. Division |
| Aug 24, 2016 | Ull/Kisa(home) | 1-0 | 1. Division |
| Aug 21, 2016 | Levanger(away) | 2-1 | 1. Division |
| Aug 14, 2016 | Raufoss(home) | 4-0 | 1. Division |
| Aug 7, 2016 | Ranheim(away) | 4-1 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 28, 2016 | Sandefjord(home) | 1-1 | 1. Division |
| Aug 24, 2016 | Fredrikstad(away) | 2-3 | 1. Division |
| Aug 21, 2016 | Ull/Kisa(away) | 0-1 | 1. Division |
| Aug 14, 2016 | Mjondalen(home) | 1-4 | 1. Division |
| Aug 7, 2016 | Raufoss(away) | 2-1 | 1. Division |
What does the head-to-head say?
Across the last 1 meetings: 0 jerv win(s), 1 draw(s), 0 Asane win(s).
| Date | Score | Competition |
|---|---|---|
| Jun 29, 2016 | Asane 1-1 jerv | 1. Division |
How many goals should we expect?
jerv score 2.0 and concede 0.9 goals per match over their last 15; Asane score 1.1 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| jerv | 2.0 | 0.9 | 5 | 10/15 | 7/15 |
| Asane | 1.1 | 1.5 | 3 | 8/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 14 | Asane | 18 | 5 | 2 | 11 | 27 | 40 | 17 |
| 14 | Asane | 11 | 3 | 1 | 7 | 15 | 23 | 9 |
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