Mülheim-Kärlich vs Dudenhofen: result 0-1 and analysis
Oberliga - Relegation RoundRh/Pf/S - Relegation Round - 2Kick-off on March 18, 2023 at 01:00 PM (UTC)Schul- & Sportzentrum, Mülheim-Kärlich
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What was the result of Mülheim-Kärlich vs Dudenhofen?
Dudenhofen won 0-1 on March 18, 2023.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Mülheim-Kärlich have 1 win, 5 draws and 9 defeats; Dudenhofen have 4, 2 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 11, 2023 | Hertha Wiesbach(away) | 3-3 | Oberliga - Relegation Round |
| Feb 26, 2023 | TuS Koblenz(home) | 1-6 | Oberliga - Rheinland-Pfalz / Saar |
| Feb 22, 2023 | FV Engers 07(home) | 0-2 | Oberliga - Rheinland-Pfalz / Saar |
| Feb 18, 2023 | Gonsenheim(away) | 0-0 | Oberliga - Rheinland-Pfalz / Saar |
| Jan 27, 2023 | Cosmos Koblenz(away) | 2-2 | Friendlies Clubs |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 11, 2023 | Alemannia Waldalgesheim(home) | 2-2 | Oberliga - Relegation Round |
| Mar 4, 2023 | Diefflen(home) | 3-2 | Oberliga - Rheinland-Pfalz / Saar |
| Feb 27, 2023 | Mechtersheim(away) | 0-3 | Oberliga - Rheinland-Pfalz / Saar |
| Feb 15, 2023 | FC Astoria Walldorf(away) | 0-1 | Friendlies Clubs |
| Jan 28, 2023 | Astoria Walldorf II(away) | 3-0 | Friendlies Clubs |
How many goals should we expect?
Mülheim-Kärlich score 0.8 and concede 2.3 goals per match over their last 15; Dudenhofen score 1.3 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mülheim-Kärlich | 0.8 | 2.3 | 2 | 6/15 | 8/15 |
| Dudenhofen | 1.3 | 1.8 | 2 | 6/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Mülheim-Kärlich sit 11th in Oberliga - Relegation Round (20 points from 22 matches) and Dudenhofen sit 3rd (45 points from 22 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Dudenhofen | 22 | 11 | 6 | 5 | 50 | 44 | 45 |
| 11 | Mülheim-Kärlich | 22 | 2 | 7 | 13 | 32 | 78 | 20 |
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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