B 93 vs Aalborg: result 1-0 and analysis
DBU PokalenRound of 16Kick-off on December 8, 2020 at 04:00 PM (UTC)Right to Dream Park, Farum
Full time
What was the result of B 93 vs Aalborg?
B 93 won 1-0 on December 8, 2020.
Goalscorers
- 30′T. BanyB 93
Official lineup for B 93 vs Aalborg
The starting elevens fielded at kick-off.
B 93
- TT. Bany
- SS. Dhaflaoui
- MM. Mouritz
- NN. Morberg
- LL. Persson
- JJ. Erenbjerg
- SS. Rossil
- AA. Emme
- MMorten Hegaard
- BBenjamin Christian Lund
- SS. Wæver
Aalborg
- LL. Andersen
- FF. Børsting
- TT. van Weert
- TT. Nkada
- LL. Klitten
- II. Fossum
- MM. Højholt
- JJ. Okore
- KK. Pallesen
- MM. Ross
- AA. Hansen
What is the recent form of both teams?
Over their last 15 matches in all competitions, B 93 have 10 wins, 1 draw and 4 defeats; Aalborg have 7, 4 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 21, 2020 | VSK Århus(away) | 1-3 | 2. Division |
| Nov 14, 2020 | SfB-Oure(home) | 1-0 | 2. Division |
| Nov 10, 2020 | ASA Aarhus(away) | 4-1 | DBU Pokalen |
| Nov 7, 2020 | Dalum(away) | 1-1 | 2. Division |
| Oct 31, 2020 | Sydvest(home) | 3-1 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 4, 2020 | Odense(away) | 1-2 | Superliga |
| Nov 28, 2020 | FC Midtjylland(away) | 0-0 | Superliga |
| Nov 22, 2020 | FC Nordsjaelland(home) | 1-1 | Superliga |
| Nov 11, 2020 | AB Copenhagen(away) | 2-1 | DBU Pokalen |
| Nov 6, 2020 | Randers FC(away) | 2-1 | Superliga |
How many goals should we expect?
B 93 score 2.0 and concede 1.1 goals per match over their last 15; Aalborg score 1.4 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| B 93 | 2.0 | 1.1 | 5 | 9/15 | 11/15 |
| Aalborg | 1.4 | 1.3 | 3 | 12/15 | 10/15 |
Over the last 15 matches in all competitions.
A question about B 93 vs Aalborg?
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