Frechen vs BCV Glesch / Paffendorf: result 2-1 and analysis
Oberliga - MittelrheinMittelrhein - 9Kick-off on October 6, 2021 at 05:30 PM (UTC)Kunstrasenplatz Kurt-Bornhoff-Sportpark, Frechen
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What was the result of Frechen vs BCV Glesch / Paffendorf?
Frechen won 2-1 on October 6, 2021.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Frechen have 9 wins, 3 draws and 3 defeats; BCV Glesch / Paffendorf have 7, 3 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 26, 2021 | SV Breinig(away) | 4-0 | Oberliga - Mittelrhein |
| Sep 19, 2021 | Wesseling-Urfeld(home) | 7-0 | Oberliga - Mittelrhein |
| Sep 12, 2021 | Siegburger SV(away) | 2-1 | Oberliga - Mittelrhein |
| Sep 5, 2021 | Viktoria Arnoldsweiler(home) | 1-2 | Oberliga - Mittelrhein |
| Sep 2, 2021 | Friesdorf(away) | 3-0 | Oberliga - Mittelrhein |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 26, 2021 | Hürth(home) | 1-2 | Oberliga - Mittelrhein |
| Sep 19, 2021 | Hennef 05(away) | 1-2 | Oberliga - Mittelrhein |
| Sep 12, 2021 | Fortuna Köln II(home) | 4-1 | Oberliga - Mittelrhein |
| Sep 5, 2021 | Düren Merzenich(away) | 0-3 | Oberliga - Mittelrhein |
| Aug 29, 2021 | Deutz(home) | 1-0 | Oberliga - Mittelrhein |
How many goals should we expect?
Frechen score 2.4 and concede 1.1 goals per match over their last 15; BCV Glesch / Paffendorf score 1.8 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Frechen | 2.4 | 1.1 | 5 | 8/15 | 12/15 |
| BCV Glesch / Paffendorf | 1.8 | 1.3 | 4 | 9/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Frechen | 6 | 2 | 2 | 2 | 12 | 12 | 8 |
A question about Frechen vs BCV Glesch / Paffendorf?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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