Vasalund vs Akropolis: result 3-1 and analysis
Ettan - NorraRegular Season - 6Kick-off on May 22, 2016 at 03:00 PM (UTC)Skytteholms IP, Solna
Full time
What was the result of Vasalund vs Akropolis?
Vasalund won 3-1 on May 22, 2016.
Goalscorers
- 6′226621Vasalund
- 31′Roy SevgiliAkropolis
- 70′L. DobrijevicVasalund
- 77′E. BulutVasalund
What is the recent form of both teams?
Over their last 5 matches in all competitions, Vasalund have 2 wins, 3 draws and 0 defeats; Akropolis have 2, 3 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 14, 2016 | Umeå FC(away) | 0-0 | Ettan - Norra |
| May 8, 2016 | Enskede(home) | 4-0 | Ettan - Norra |
| May 1, 2016 | IK brage(away) | 1-1 | Ettan - Norra |
| Apr 24, 2016 | Carlstad United(home) | 1-0 | Ettan - Norra |
| Apr 16, 2016 | Nyköping(away) | 1-1 | Ettan - Norra |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 14, 2016 | Vasteras SK FK(home) | 1-1 | Ettan - Norra |
| May 8, 2016 | Umea FF(away) | 2-1 | Ettan - Norra |
| Apr 30, 2016 | Sleipner(home) | 3-1 | Ettan - Norra |
| Apr 24, 2016 | Piteå(away) | 1-1 | Ettan - Norra |
| Apr 16, 2016 | IFK Luleå(home) | 2-2 | Ettan - Norra |
How many goals should we expect?
Vasalund score 1.4 and concede 0.4 goals per match over their last 5; Akropolis score 1.8 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Vasalund | 1.4 | 0.4 | 3 | 2/5 | 1/5 |
| Akropolis | 1.8 | 1.2 | 0 | 5/5 | 3/5 |
Over the last 5 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 12 | Vasalund | 26 | 7 | 7 | 12 | 39 | 55 | 28 |
A question about Vasalund vs Akropolis?
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