Motala vs Örebro Syrianska: result 1-2 and analysis
Division 2 - Södra SvealandRegular Season - 10Kick-off on June 3, 2017 at 02:00 PM (UTC)Motala Idrottspark, Motala
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What was the result of Motala vs Örebro Syrianska?
Örebro Syrianska won 1-2 on June 3, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Motala have 6 wins, 2 draws and 7 defeats; Örebro Syrianska have 6, 2 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 28, 2017 | Boo(away) | 1-0 | Division 2 - Södra Svealand |
| May 25, 2017 | Linköping City(home) | 1-3 | Division 2 - Södra Svealand |
| May 20, 2017 | Värmdö(away) | 0-1 | Division 2 - Södra Svealand |
| May 13, 2017 | Värmbols(home) | 3-2 | Division 2 - Södra Svealand |
| May 6, 2017 | Sylvia(away) | 1-2 | Division 2 - Södra Svealand |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 28, 2017 | Kumla(home) | 3-2 | Division 2 - Södra Svealand |
| May 24, 2017 | Assyriska IF(away) | 2-0 | Division 2 - Södra Svealand |
| May 20, 2017 | Haninge(home) | 1-2 | Division 2 - Södra Svealand |
| May 13, 2017 | Huddinge(away) | 3-1 | Division 2 - Södra Svealand |
| May 6, 2017 | Sleipner(home) | 0-2 | Division 2 - Södra Svealand |
How many goals should we expect?
Motala score 2.3 and concede 1.6 goals per match over their last 15; Örebro Syrianska score 1.8 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Motala | 2.3 | 1.6 | 3 | 10/15 | 10/15 |
| Örebro Syrianska | 1.8 | 2.0 | 2 | 10/15 | 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 Motala 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