AB Copenhagen vs Næsby: result 2-0 and analysis
2nd Division - Group 2Group 2 - 6Kick-off on September 1, 2019 at 01:00 PM (UTC)Gladsaxe Stadion, Søborg
Full time
What was the result of AB Copenhagen vs Næsby?
AB Copenhagen won 2-0 on September 1, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, AB Copenhagen have 10 wins, 5 draws and 0 defeats; Næsby have 9, 1 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 24, 2019 | Middelfart(away) | 1-1 | 2nd Division - Group 2 |
| Aug 21, 2019 | Dalum(home) | 1-0 | 2nd Division - Group 2 |
| Aug 17, 2019 | Jammerbugt(away) | 1-1 | 2nd Division - Group 2 |
| Aug 11, 2019 | Thisted FC(home) | 3-2 | 2nd Division - Group 2 |
| Aug 6, 2019 | FC Helsingor(away) | 2-0 | DBU Pokalen |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 24, 2019 | Jammerbugt(away) | 2-3 | 2nd Division - Group 2 |
| Aug 21, 2019 | Middelfart(home) | 0-4 | 2nd Division - Group 2 |
| Aug 17, 2019 | Vejgaard B(home) | 3-3 | 2nd Division - Group 2 |
| Aug 10, 2019 | Sydvest(away) | 2-3 | 2nd Division - Group 2 |
| Aug 3, 2019 | Aarhus Fremad(home) | 0-3 | 2nd Division - Group 2 |
How many goals should we expect?
AB Copenhagen score 1.7 and concede 0.7 goals per match over their last 15; Næsby score 3.2 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| AB Copenhagen | 1.7 | 0.7 | 7 | 8/15 | 4/15 |
| Næsby | 3.2 | 1.5 | 7 | 6/15 | 13/15 |
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 | AB Copenhagen | 26 | 15 | 6 | 5 | 44 | 31 | 51 |
A question about AB Copenhagen vs Næsby?
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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