Rishøj vs AB Tårnby: result 2-3 and analysis
Denmark Series - Group 2Regular Season - 13Kick-off on October 29, 2016 at 01:00 PM (UTC)Rishøj Stadion, Køge
Full time
What was the result of Rishøj vs AB Tårnby?
AB Tårnby won 2-3 on October 29, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Rishøj have 6 wins, 1 draw and 8 defeats; AB Tårnby 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 |
|---|---|---|---|
| Oct 22, 2016 | Skovshoved(away) | 1-4 | Denmark Series - Group 2 |
| Oct 15, 2016 | GVI(home) | 2-0 | Denmark Series - Group 2 |
| Oct 8, 2016 | Karlslunde(away) | 0-0 | Denmark Series - Group 2 |
| Oct 1, 2016 | B 1908(home) | 4-0 | Denmark Series - Group 2 |
| Sep 24, 2016 | Fremad Valby(home) | 0-2 | Denmark Series - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 22, 2016 | GVI(home) | 2-3 | Denmark Series - Group 2 |
| Oct 15, 2016 | B 1908(away) | 4-2 | Denmark Series - Group 2 |
| Oct 8, 2016 | Herlufsholm(home) | 2-0 | Denmark Series - Group 2 |
| Oct 1, 2016 | LSF(home) | 3-2 | Denmark Series - Group 2 |
| Sep 24, 2016 | Skovshoved(away) | 3-2 | Denmark Series - Group 2 |
What does the head-to-head say?
In the last meeting: 0 Rishøj wins, 0 draws, 1 AB Tårnby win.
| Date | Score | Competition |
|---|---|---|
| Aug 27, 2016 | AB Tårnby 6-2 Rishøj | Denmark Series - Group 2 |
How many goals should we expect?
Rishøj score 1.6 and concede 1.7 goals per match over their last 15; AB Tårnby score 2.4 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Rishøj | 1.6 | 1.7 | 5 | 7/15 | 10/15 |
| AB Tårnby | 2.4 | 1.4 | 3 | 10/15 | 10/15 |
Over the last 15 matches in all competitions.
A question about Rishøj vs AB Tårnby?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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