Altona 93 vs Tus Dassendorf: result 1-3 and analysis
Oberliga - HamburgHamburg - 10Kick-off on October 26, 2022 at 05:30 PM (UTC)Adolf-Jäger-Kampfbahn, Hamburg
Full time
What was the result of Altona 93 vs Tus Dassendorf?
Tus Dassendorf won 1-3 on October 26, 2022.
Goalscorers
- 30′M. HarnikTus Dassendorf
- 70′Zhi Gin Andreas LamTus Dassendorf
- 79′?Tus Dassendorf
- 90′?Altona 93 (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Altona 93 have 6 wins, 6 draws and 3 defeats; Tus Dassendorf have 8, 3 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 22, 2022 | Süderelbe(home) | 0-3 | Oberliga - Hamburg |
| Oct 16, 2022 | Rugenbergen(away) | 4-1 | Oberliga - Hamburg |
| Oct 11, 2022 | Victoria Hamburg(home) | 2-0 | Oberliga - Hamburg |
| Oct 7, 2022 | Concordia(away) | 1-1 | Oberliga - Hamburg |
| Sep 13, 2022 | Buchholz(away) | 2-1 | Oberliga - Hamburg |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 23, 2022 | Niendorfer TSV(away) | 1-1 | Oberliga - Hamburg |
| Oct 15, 2022 | Paloma(home) | 6-0 | Oberliga - Hamburg |
| Oct 12, 2022 | Sasel(away) | 1-2 | Oberliga - Hamburg |
| Oct 8, 2022 | Türkiye(home) | 7-1 | Oberliga - Hamburg |
| Sep 30, 2022 | Hamm United(away) | 5-0 | Oberliga - Hamburg |
How many goals should we expect?
Altona 93 score 1.8 and concede 1.5 goals per match over their last 15; Tus Dassendorf score 2.6 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Altona 93 | 1.8 | 1.5 | 5 | 9/15 | 9/15 |
| Tus Dassendorf | 2.6 | 0.9 | 6 | 7/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 3 | Tus Dassendorf | 34 | 24 | 4 | 6 | 101 | 34 | 76 |
A question about Altona 93 vs Tus Dassendorf?
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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