Sleipner vs Vasalund: result 2-3 and analysis
Ettan - NorraRegular Season - 12Kick-off on July 3, 2016 at 03:00 PM (UTC)PlatinumCars Arena, Norrköping
Full time
What was the result of Sleipner vs Vasalund?
Vasalund won 2-3 on July 3, 2016.
Goalscorers
- 15′226318Sleipner
- 28′Joel Johansson-MatikkaVasalund
- 34′226652Sleipner
- 47′K. KabranVasalund
- 86′E. BulutVasalund
What is the recent form of both teams?
Over their last 11 matches in all competitions, Sleipner have 1 win, 2 draws and 8 defeats; Vasalund have 5, 4 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 26, 2016 | IFK Luleå(away) | 1-1 | Ettan - Norra |
| Jun 19, 2016 | Forward(home) | 1-3 | Ettan - Norra |
| Jun 14, 2016 | Nyköping(away) | 0-2 | Ettan - Norra |
| Jun 4, 2016 | Umeå FC(home) | 1-3 | Ettan - Norra |
| May 28, 2016 | IF Brommapojkarna(away) | 1-2 | Ettan - Norra |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 19, 2016 | Umea FF(home) | 2-1 | Ettan - Norra |
| Jun 11, 2016 | Vasteras SK FK(away) | 1-1 | Ettan - Norra |
| Jun 4, 2016 | Forward(away) | 0-2 | Ettan - Norra |
| May 29, 2016 | IFK Luleå(home) | 3-0 | Ettan - Norra |
| May 22, 2016 | Akropolis(home) | 3-1 | Ettan - Norra |
How many goals should we expect?
Sleipner score 1.2 and concede 2.0 goals per match over their last 11; Vasalund score 1.6 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sleipner | 1.2 | 2.0 | 1 | 7/11 | 7/11 |
| Vasalund | 1.6 | 0.7 | 4 | 5/10 | 4/10 |
Over the last 11 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 Sleipner vs Vasalund?
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