SF Baumberg vs Teutonia St.Tönis: result 4-1 and analysis
Oberliga - NiederrheinNiederrhein - 7Kick-off on October 3, 2021 at 01:00 PM (UTC)BSA Grazer Strasse, Monheim
Full time
What was the result of SF Baumberg vs Teutonia St.Tönis?
SF Baumberg won 4-1 on October 3, 2021.
What is the recent form of both teams?
Over their last 15 matches in all competitions, SF Baumberg have 7 wins, 1 draw and 7 defeats; Teutonia St.Tönis have 5, 4 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 5, 2021 | TVD Velbert(home) | 0-1 | Oberliga - Niederrhein |
| Aug 31, 2021 | Schwarz-Weiß Düsseldorf(home) | 2-1 | Friendlies Clubs |
| Aug 27, 2021 | SSVg Velbert(away) | 2-6 | Oberliga - Niederrhein |
| Aug 21, 2021 | FC Bocholt(home) | 0-3 | Oberliga - Niederrhein |
| Aug 15, 2021 | Sportfreunde Siegen(away) | 1-1 | Friendlies Clubs |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 26, 2021 | Dusseldorf-West(home) | 2-3 | Oberliga - Niederrhein |
| Sep 19, 2021 | Union Nettetal(away) | 1-0 | Oberliga - Niederrhein |
| Sep 12, 2021 | Cronenberger SC(home) | 0-0 | Oberliga - Niederrhein |
| Sep 5, 2021 | Schonnebeck(away) | 0-3 | Oberliga - Niederrhein |
| Aug 29, 2021 | Jahn Hiesfeld(home) | 4-1 | Oberliga - Niederrhein |
How many goals should we expect?
SF Baumberg score 2.1 and concede 2.1 goals per match over their last 15; Teutonia St.Tönis score 1.9 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| SF Baumberg | 2.1 | 2.1 | 2 | 11/15 | 12/15 |
| Teutonia St.Tönis | 1.9 | 1.5 | 3 | 9/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | SF Baumberg | 8 | 4 | 2 | 2 | 18 | 16 | 14 |
A question about SF Baumberg vs Teutonia St.Tönis?
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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