Sylvia vs Nora: result 3-1 and analysis
Division 2 - Södra SvealandRegular Season - 8Kick-off on May 26, 2018 at 02:00 PM (UTC)PlatinumCars Arena, Norrköping
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What was the result of Sylvia vs Nora?
Sylvia won 3-1 on May 26, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sylvia have 7 wins, 3 draws and 5 defeats; Nora have 3, 1 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 19, 2018 | Värmbols(away) | 3-0 | Division 2 - Södra Svealand |
| May 12, 2018 | Enskede(home) | 0-2 | Division 2 - Södra Svealand |
| May 5, 2018 | Eskilstuna City(away) | 1-0 | Division 2 - Södra Svealand |
| May 1, 2018 | Sleipner(home) | 4-2 | Division 2 - Södra Svealand |
| Apr 21, 2018 | AFK Linköping(away) | 4-4 | Division 2 - Södra Svealand |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 19, 2018 | Värmdö(home) | 1-0 | Division 2 - Södra Svealand |
| May 12, 2018 | Aspudden-Tellus(away) | 1-3 | Division 2 - Södra Svealand |
| May 5, 2018 | Motala(home) | 1-0 | Division 2 - Södra Svealand |
| May 1, 2018 | Värmbols(home) | 2-2 | Division 2 - Södra Svealand |
| Apr 21, 2018 | Enskede(away) | 0-1 | Division 2 - Södra Svealand |
How many goals should we expect?
Sylvia score 2.3 and concede 1.9 goals per match over their last 15; Nora score 1.2 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sylvia | 2.3 | 1.9 | 2 | 10/15 | 10/15 |
| Nora | 1.2 | 1.2 | 2 | 3/6 | 3/6 |
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 | Sylvia | 26 | 15 | 2 | 9 | 51 | 34 | 47 |
A question about Sylvia vs Nora?
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