BTS Neustadt vs TuSpo Surheide: result 3-1 and analysis
Oberliga - BremenBremen - 13Kick-off on November 19, 2022 at 12:00 PM (UTC)SPA Erlenstraße, Platz 1, Bremen
Full time
What was the result of BTS Neustadt vs TuSpo Surheide?
BTS Neustadt won 3-1 on November 19, 2022.
Goalscorers
- 57′?BTS Neustadt
- 68′?TuSpo Surheide
- 72′?BTS Neustadt
- 90′?BTS Neustadt (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, BTS Neustadt have 5 wins, 2 draws and 8 defeats; TuSpo Surheide have 2, 2 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 13, 2022 | Hemelingen(away) | 2-5 | Oberliga - Bremen |
| Nov 5, 2022 | Blumenthaler SV(home) | 1-2 | Oberliga - Bremen |
| Oct 30, 2022 | Schwachhausen(away) | 1-4 | Oberliga - Bremen |
| Oct 15, 2022 | Komet Arsten(home) | 3-1 | Oberliga - Bremen |
| Oct 8, 2022 | Vatan Sport(away) | 2-4 | Oberliga - Bremen |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 12, 2022 | Union Bremen(home) | 2-3 | Oberliga - Bremen |
| Nov 6, 2022 | Leher TS(home) | 2-3 | Oberliga - Bremen |
| Oct 29, 2022 | Brinkumer SV(home) | 1-1 | Oberliga - Bremen |
| Oct 15, 2022 | Woltmershausen(away) | 1-2 | Oberliga - Bremen |
| Oct 9, 2022 | Hemelingen(away) | 0-6 | Oberliga - Bremen |
How many goals should we expect?
BTS Neustadt score 1.7 and concede 2.4 goals per match over their last 15; TuSpo Surheide score 1.6 and concede 2.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| BTS Neustadt | 1.7 | 2.4 | 1 | 13/15 | 13/15 |
| TuSpo Surheide | 1.6 | 2.8 | 0 | 10/12 | 11/12 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 11 | BTS Neustadt | 8 | 3 | 0 | 5 | 14 | 21 | 9 |
A question about BTS Neustadt vs TuSpo Surheide?
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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