Piteå vs IK brage: result 2-1 and analysis
Ettan - NorraRegular Season - 7Kick-off on May 29, 2016 at 12:00 PM (UTC)LF Arena, Piteå
Full time
What was the result of Piteå vs IK brage?
Piteå won 2-1 on May 29, 2016.
Goalscorers
- 10′Wilhelm Carlos García AmbrosianiIK brage
- 41′Karl CunninghamPiteå
- 89′J. BurginPiteå
What is the recent form of both teams?
Over their last 6 matches in all competitions, Piteå have 1 win, 1 draw and 4 defeats; IK brage have 3, 1 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 21, 2016 | Umea FF(away) | 0-1 | Ettan - Norra |
| May 15, 2016 | Sleipner(home) | 2-1 | Ettan - Norra |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 22, 2016 | Nyköping(home) | 2-0 | Ettan - Norra |
| May 16, 2016 | IF Brommapojkarna(home) | 0-1 | Ettan - Norra |
| May 9, 2016 | Vasteras SK FK(away) | 0-3 | Ettan - Norra |
| May 1, 2016 | Vasalund(home) | 1-1 | Ettan - Norra |
| Apr 24, 2016 | IFK Luleå(away) | 2-0 | Ettan - Norra |
How many goals should we expect?
Piteå score 0.8 and concede 1.8 goals per match over their last 6; IK brage score 1.2 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Piteå | 0.8 | 1.8 | 0 | 4/6 | 3/6 |
| IK brage | 1.2 | 0.8 | 3 | 1/6 | 1/6 |
Over the last 6 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 IK brage?
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