SSV Merten vs Lindenthal-Hohenlind: result 5-0 and analysis
Oberliga - MittelrheinMittelrhein - 2Kick-off on September 6, 2026 at 01:00 PM (UTC)MerKur Kunstrasenplatz, Bornheim
Full time
What was the result of SSV Merten vs Lindenthal-Hohenlind?
SSV Merten won 5-0 on September 6, 2026.
What is the recent form of both teams?
Over their last 15 matches in all competitions, SSV Merten have 9 wins, 3 draws and 3 defeats; Lindenthal-Hohenlind have 0, 1 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 30, 2026 | Siegburger SV(away) | 0-2 | Oberliga - Mittelrhein |
| Jun 7, 2026 | Siegburger SV(home) | 5-1 | Oberliga - Mittelrhein |
| May 31, 2026 | Teutonia Weiden(away) | 10-0 | Oberliga - Mittelrhein |
| May 22, 2026 | Porz(home) | 8-3 | Oberliga - Mittelrhein |
| May 17, 2026 | Wegberg-Beeck(away) | 2-2 | Oberliga - Mittelrhein |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 30, 2026 | Porz(home) | 2-2 | Oberliga - Mittelrhein |
| Jan 29, 2023 | TuS BW Königsdorf(away) | 0-6 | Friendlies Clubs |
How many goals should we expect?
SSV Merten score 3.5 and concede 1.2 goals per match over their last 15; Lindenthal-Hohenlind score 1.0 and concede 4.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| SSV Merten | 3.5 | 1.2 | 4 | 9/15 | 11/15 |
| Lindenthal-Hohenlind | 1.0 | 4.0 | 0 | 1/2 | 2/2 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
SSV Merten sit 2nd in Oberliga - Mittelrhein (22 points from 10 matches) and Lindenthal-Hohenlind sit 9th (15 points from 10 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | SSV Merten | 10 | 7 | 1 | 2 | 30 | 11 | 22 |
| 9 | Lindenthal-Hohenlind | 10 | 4 | 3 | 3 | 21 | 21 | 15 |
A question about SSV Merten vs Lindenthal-Hohenlind?
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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