IFK Luleå vs Hudiksvall: result 0-2 and analysis
Division 2 - NorrlandRegular Season - 11Kick-off on June 16, 2018 at 12:00 PM (UTC)Nyabvallen, Luleå
Full time
What was the result of IFK Luleå vs Hudiksvall?
Hudiksvall won 0-2 on June 16, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, IFK Luleå have 8 wins, 3 draws and 4 defeats; Hudiksvall have 9, 3 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 9, 2018 | Täfteå(away) | 2-0 | Division 2 - Norrland |
| Jun 4, 2018 | Gällivare Malmbergets(home) | 4-0 | Division 2 - Norrland |
| May 26, 2018 | Piteå(away) | 2-1 | Division 2 - Norrland |
| May 19, 2018 | Härnösand(home) | 4-0 | Division 2 - Norrland |
| May 12, 2018 | IFK Östersund(away) | 1-0 | Division 2 - Norrland |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 9, 2018 | Umeå FC(away) | 2-2 | Division 2 - Norrland |
| Jun 2, 2018 | Täfteå(home) | 3-2 | Division 2 - Norrland |
| May 26, 2018 | Gällivare Malmbergets(away) | 5-1 | Division 2 - Norrland |
| May 20, 2018 | Piteå(home) | 1-2 | Division 2 - Norrland |
| May 14, 2018 | Härnösand(away) | 2-1 | Division 2 - Norrland |
How many goals should we expect?
IFK Luleå score 2.1 and concede 1.7 goals per match over their last 15; Hudiksvall score 2.3 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| IFK Luleå | 2.1 | 1.7 | 5 | 8/15 | 11/15 |
| Hudiksvall | 2.3 | 1.3 | 3 | 11/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | IFK Luleå | 12 | 8 | 1 | 3 | 32 | 14 | 25 |
A question about IFK Luleå vs Hudiksvall?
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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