SV Morlautern vs Jägersburg: result 3-2 and analysis
Oberliga - Rheinland-Pfalz / SaarRheinland-Pfalz / Saar - 10Kick-off on October 1, 2022 at 01:30 PM (UTC)Morlautern Kunstrasenplatz, Kaiserslautern
Full time
What was the result of SV Morlautern vs Jägersburg?
SV Morlautern won 3-2 on October 1, 2022.
Goalscorers
- 46′?Jägersburg
- 59′?SV Morlautern
- 72′?Jägersburg
- 80′?SV Morlautern
- 88′Felix BürgerSV Morlautern
What is the recent form of both teams?
Over their last 10 matches in all competitions, SV Morlautern have 2 wins, 0 draws and 8 defeats; Jägersburg have 3, 2 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 17, 2022 | Dudenhofen(away) | 2-1 | Oberliga - Rheinland-Pfalz / Saar |
| Sep 11, 2022 | Hertha Wiesbach(home) | 2-4 | Oberliga - Rheinland-Pfalz / Saar |
| Sep 3, 2022 | Elversberg II(away) | 0-3 | Oberliga - Rheinland-Pfalz / Saar |
| Aug 27, 2022 | Arminia Ludwigshafen(home) | 3-5 | Oberliga - Rheinland-Pfalz / Saar |
| Aug 19, 2022 | Kaiserslautern II(away) | 1-0 | Oberliga - Rheinland-Pfalz / Saar |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 24, 2022 | Dudenhofen(home) | 1-1 | Oberliga - Rheinland-Pfalz / Saar |
| Sep 16, 2022 | Hertha Wiesbach(away) | 3-2 | Oberliga - Rheinland-Pfalz / Saar |
| Sep 10, 2022 | Elversberg II(home) | 3-1 | Oberliga - Rheinland-Pfalz / Saar |
| Sep 3, 2022 | Arminia Ludwigshafen(away) | 2-0 | Oberliga - Rheinland-Pfalz / Saar |
| Aug 26, 2022 | Kaiserslautern II(home) | 3-6 | Oberliga - Rheinland-Pfalz / Saar |
How many goals should we expect?
SV Morlautern score 1.1 and concede 3.1 goals per match over their last 10; Jägersburg score 1.3 and concede 3.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| SV Morlautern | 1.1 | 3.1 | 1 | 5/10 | 8/10 |
| Jägersburg | 1.3 | 3.1 | 1 | 10/15 | 11/15 |
Over the last 10 matches in all competitions.
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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
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