Sylvia vs Smedby: result 2-4 and analysis
Division 2 - Södra SvealandRegular Season - 10Kick-off on June 5, 2016 at 02:00 PM (UTC)PlatinumCars Arena, Norrköping
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What was the result of Sylvia vs Smedby?
Smedby won 2-4 on June 5, 2016.
What is the recent form of both teams?
Over their last 9 matches in all competitions, Sylvia have 3 wins, 1 draw and 5 defeats; Smedby have 2, 3 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 28, 2016 | Södertälje(away) | 3-1 | Division 2 - Södra Svealand |
| May 22, 2016 | Konyaspor(home) | 2-1 | Division 2 - Södra Svealand |
| May 13, 2016 | Karlslund(away) | 0-3 | Division 2 - Södra Svealand |
| May 9, 2016 | Linköping City(home) | 0-1 | Division 2 - Södra Svealand |
| May 5, 2016 | Huddinge(away) | 1-3 | Division 2 - Södra Svealand |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 28, 2016 | Vimmerby(home) | 1-1 | Division 2 - Södra Svealand |
| May 21, 2016 | Södertälje(home) | 4-2 | Division 2 - Södra Svealand |
| May 15, 2016 | Konyaspor(away) | 2-2 | Division 2 - Södra Svealand |
| May 8, 2016 | Karlslund(home) | 7-2 | Division 2 - Södra Svealand |
| May 5, 2016 | Linköping City(away) | 1-2 | Division 2 - Södra Svealand |
How many goals should we expect?
Sylvia score 1.4 and concede 2.1 goals per match over their last 9; Smedby score 2.0 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sylvia | 1.4 | 2.1 | 0 | 6/9 | 8/9 |
| Smedby | 2.0 | 1.8 | 0 | 8/9 | 6/9 |
Over the last 9 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | Smedby | 25 | 10 | 6 | 9 | 44 | 37 | 36 |
A question about Sylvia vs Smedby?
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