Piteå vs Sleipner: result 2-1 and analysis
Ettan - NorraRegular Season - 5Kick-off on May 15, 2016 at 12:00 PM (UTC)LF Arena, Piteå
Full time
What was the result of Piteå vs Sleipner?
Piteå won 2-1 on May 15, 2016.
Goalscorers
- 12′Karl CunninghamPiteå
- 56′H. MillbertPiteå
- 65′226652Sleipner
What is the recent form of both teams?
Over their last 4 matches in all competitions, Piteå have 0 wins, 1 draw and 3 defeats; Sleipner have 1, 0 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 8, 2016 | Forward(away) | 1-3 | Ettan - Norra |
| May 1, 2016 | Enskede(away) | 1-3 | Ettan - Norra |
| Apr 24, 2016 | Akropolis(home) | 1-1 | Ettan - Norra |
| Apr 17, 2016 | IF Brommapojkarna(away) | 0-2 | Ettan - Norra |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 8, 2016 | Carlstad United(home) | 4-0 | Ettan - Norra |
| Apr 30, 2016 | Akropolis(away) | 1-3 | Ettan - Norra |
| Apr 23, 2016 | Umea FF(home) | 0-1 | Ettan - Norra |
| Apr 17, 2016 | IK brage(away) | 0-2 | Ettan - Norra |
How many goals should we expect?
Piteå score 0.8 and concede 2.3 goals per match over their last 4; Sleipner score 1.3 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Piteå | 0.8 | 2.3 | 0 | 3/4 | 2/4 |
| Sleipner | 1.3 | 1.5 | 1 | 1/4 | 2/4 |
Over the last 4 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 14 | Piteå | 26 | 5 | 8 | 13 | 33 | 49 | 23 |
A question about Piteå vs Sleipner?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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