Huddinge vs Örebro Syrianska: result 1-3 and analysis
Division 2 - Södra SvealandRegular Season - 6Kick-off on May 13, 2017 at 12:00 PM (UTC)Källbrinks IP, Huddinge
Full time
What was the result of Huddinge vs Örebro Syrianska?
Örebro Syrianska won 1-3 on May 13, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Huddinge have 10 wins, 0 draws and 5 defeats; Örebro Syrianska have 4, 2 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 6, 2017 | Boo(away) | 2-1 | Division 2 - Södra Svealand |
| May 1, 2017 | Linköping City(home) | 1-3 | Division 2 - Södra Svealand |
| Apr 22, 2017 | Värmdö(away) | 0-2 | Division 2 - Södra Svealand |
| Apr 17, 2017 | Värmbols(home) | 2-0 | Division 2 - Södra Svealand |
| Apr 8, 2017 | Sylvia(away) | 0-1 | Division 2 - Södra Svealand |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 6, 2017 | Sleipner(home) | 0-2 | Division 2 - Södra Svealand |
| Apr 29, 2017 | Rynninge(away) | 1-2 | Division 2 - Södra Svealand |
| Apr 22, 2017 | Södertälje(home) | 4-0 | Division 2 - Södra Svealand |
| Apr 8, 2017 | Linköping City(away) | 1-3 | Division 2 - Södra Svealand |
| Oct 15, 2016 | Gauthiod(home) | 5-2 | Division 2 - Norra Götaland |
How many goals should we expect?
Huddinge score 2.3 and concede 1.3 goals per match over their last 15; Örebro Syrianska score 1.4 and concede 2.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Huddinge | 2.3 | 1.3 | 2 | 9/15 | 10/15 |
| Örebro Syrianska | 1.4 | 2.3 | 1 | 9/15 | 12/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Örebro Syrianska | 26 | 10 | 4 | 12 | 32 | 31 | 34 |
A question about Huddinge vs Örebro Syrianska?
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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