Bad Gleichenberg vs Ried II: result 1-4 and analysis
Regionalliga - MitteMitte - 11Kick-off on October 4, 2019 at 05:00 PM (UTC)Bad Gleichenberg Arena, Bad Gleichenberg
Full time
What was the result of Bad Gleichenberg vs Ried II?
Ried II won 1-4 on October 4, 2019.
Goalscorers
- 14′L. SchlosserRied II
- 28′J. SchwaighoferRied II
- 53′M. GroßeBad Gleichenberg
- 60′Felix HebesbergerRied II
- 83′J. SchwaighoferRied II
What is the recent form of both teams?
Over their last 15 matches in all competitions, Bad Gleichenberg have 8 wins, 1 draws and 6 defeats; Ried II have 2, 2 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 27, 2019 | Weiz(away) | 1-3 | Regionalliga - Mitte |
| Sep 20, 2019 | Stadl-Paura(home) | 9-2 | Regionalliga - Mitte |
| Sep 13, 2019 | Hertha(away) | 0-1 | Regionalliga - Mitte |
| Sep 6, 2019 | Wolfsberg(home) | 3-1 | Regionalliga - Mitte |
| Aug 30, 2019 | Deutschlandsberger SC(away) | 2-1 | Regionalliga - Mitte |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 28, 2019 | Gleisdorf 09(home) | 1-2 | Regionalliga - Mitte |
| Sep 21, 2019 | Kalsdorf(home) | 1-2 | Regionalliga - Mitte |
| Sep 13, 2019 | Weiz(away) | 0-5 | Regionalliga - Mitte |
| Sep 7, 2019 | Stadl-Paura(home) | 4-0 | Regionalliga - Mitte |
| Aug 30, 2019 | Hertha(away) | 1-1 | Regionalliga - Mitte |
How many goals should we expect?
Bad Gleichenberg score 2.5 and concede 1.7 goals per match over their last 15; Ried II score 1.3 and concede 2.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Bad Gleichenberg | 2.5 | 1.7 | 1 | 12/15 | 13/15 |
| Ried II | 1.3 | 2.2 | 3 | 6/11 | 8/11 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 15 | Ried II | 30 | 7 | 4 | 19 | 41 | 72 | 25 |
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