Motala vs Syrianska FC: result 0-0 and analysis
Division 2 - Södra SvealandSödra Svealand - 2Kick-off on June 23, 2021 at 05:00 PM (UTC)Motala Idrottspark, Motala
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What was the result of Motala vs Syrianska FC?
Motala and Syrianska FC drew 0-0 on June 23, 2021.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Motala have 4 wins, 2 draws and 9 defeats; Syrianska FC have 10, 3 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 19, 2021 | Rynninge(home) | 5-1 | Division 2 - Södra Svealand |
| Jun 13, 2021 | Arameiska / Syrianska(away) | 2-1 | Division 2 - Södra Svealand |
| Jun 9, 2021 | Karlslund(home) | 2-2 | Division 2 - Södra Svealand |
| Jun 5, 2021 | Tyresö W(away) | 2-0 | Division 2 - Södra Svealand |
| Nov 28, 2020 | Landskrona BoIS(away) | 0-2 | Ettan - Södra |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 19, 2021 | Eskilstuna City(home) | 5-1 | Division 2 - Södra Svealand |
| Jun 12, 2021 | Rynninge(away) | 3-1 | Division 2 - Södra Svealand |
| Jun 9, 2021 | Arameiska / Syrianska(home) | 3-0 | Division 2 - Södra Svealand |
| Jun 5, 2021 | Karlslund(away) | 3-1 | Division 2 - Södra Svealand |
| Oct 18, 2020 | Nosaby(home) | 0-2 | Division 2 - Södra Götaland |
How many goals should we expect?
Motala score 1.5 and concede 2.0 goals per match over their last 15; Syrianska FC score 1.6 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Motala | 1.5 | 2.0 | 1 | 11/15 | 10/15 |
| Syrianska FC | 1.6 | 0.7 | 7 | 6/15 | 4/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | Syrianska FC | 12 | 3 | 2 | 7 | 18 | 30 | 11 |
| 13 | Syrianska FC | 18 | 4 | 4 | 10 | 27 | 45 | 16 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy