Oberneuland vs TuSpo Surheide: result 3-1 and analysis
Oberliga - BremenBremen - 14Kick-off on November 25, 2022 at 06:30 PM (UTC)Marko Mock Arena, Bremen
Full time
What was the result of Oberneuland vs TuSpo Surheide?
Oberneuland won 3-1 on November 25, 2022.
Goalscorers
- 7′?Oberneuland
- 36′?Oberneuland
- 68′?Oberneuland
- 74′?TuSpo Surheide
What is the recent form of both teams?
Over their last 15 matches in all competitions, Oberneuland have 10 wins, 0 draws and 5 defeats; TuSpo Surheide have 2, 2 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 18, 2022 | Blumenthaler SV(home) | 2-0 | Oberliga - Bremen |
| Nov 13, 2022 | Schwachhausen(away) | 2-1 | Oberliga - Bremen |
| Nov 4, 2022 | Komet Arsten(home) | 2-0 | Oberliga - Bremen |
| Oct 29, 2022 | Vatan Sport(away) | 4-2 | Oberliga - Bremen |
| Oct 14, 2022 | OSC Bremerhaven(home) | 0-2 | Oberliga - Bremen |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 19, 2022 | BTS Neustadt(away) | 1-3 | Oberliga - Bremen |
| 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 |
How many goals should we expect?
Oberneuland score 3.0 and concede 1.2 goals per match over their last 15; TuSpo Surheide score 1.5 and concede 2.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Oberneuland | 3.0 | 1.2 | 7 | 6/15 | 11/15 |
| TuSpo Surheide | 1.5 | 2.8 | 0 | 11/13 | 12/13 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 16 | Oberneuland | 8 | 0 | 2 | 6 | 7 | 33 | 2 |
A question about Oberneuland 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