Vendsyssel FF vs Odense: result 2-1 and analysis
DBU Pokalen3rd RoundKick-off on October 19, 2016 at 05:00 PM (UTC)Nord Energi Arena, Hjørring
Full time
What was the result of Vendsyssel FF vs Odense?
Vendsyssel FF won 2-1 on October 19, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Vendsyssel FF have 9 wins, 2 draws and 4 defeats; Odense have 4, 4 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 16, 2016 | FC Fredericia(away) | 0-0 | 1. Division |
| Oct 2, 2016 | Skive(home) | 1-0 | 1. Division |
| Sep 25, 2016 | AB Copenhagen(away) | 3-1 | 1. Division |
| Sep 21, 2016 | FC Helsingor(home) | 1-0 | 1. Division |
| Sep 18, 2016 | Roskilde(home) | 5-0 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 16, 2016 | Randers FC(away) | 0-3 | Superliga |
| Sep 30, 2016 | Aarhus(home) | 2-1 | Superliga |
| Sep 25, 2016 | Brondby(away) | 0-3 | Superliga |
| Sep 22, 2016 | Sonderjyske(away) | 0-1 | Superliga |
| Sep 18, 2016 | FC Midtjylland(home) | 0-1 | Superliga |
How many goals should we expect?
Vendsyssel FF score 2.1 and concede 0.9 goals per match over their last 15; Odense score 1.2 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Vendsyssel FF | 2.1 | 0.9 | 8 | 5/15 | 7/15 |
| Odense | 1.2 | 1.5 | 3 | 6/15 | 9/15 |
Over the last 15 matches in all competitions.
A question about Vendsyssel FF vs Odense?
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