Nora vs Sylvia: result 1-0 and analysis
Division 2 - Södra SvealandRegular Season - 21Kick-off on September 15, 2018 at 12:00 PM (UTC)Norvalla, Nora
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What was the result of Nora vs Sylvia?
Nora won 1-0 on September 15, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Nora have 4 wins, 1 draws and 10 defeats; Sylvia have 12, 1 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 8, 2018 | Värmdö(away) | 0-2 | Division 2 - Södra Svealand |
| Sep 1, 2018 | Aspudden-Tellus(home) | 0-1 | Division 2 - Södra Svealand |
| Aug 27, 2018 | Motala(away) | 1-4 | Division 2 - Södra Svealand |
| Aug 18, 2018 | Värmbols(away) | 0-4 | Division 2 - Södra Svealand |
| Aug 11, 2018 | Enskede(home) | 1-3 | Division 2 - Södra Svealand |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 8, 2018 | Värmbols(home) | 2-1 | Division 2 - Södra Svealand |
| Sep 1, 2018 | Enskede(away) | 1-0 | Division 2 - Södra Svealand |
| Aug 25, 2018 | Eskilstuna City(home) | 5-3 | Division 2 - Södra Svealand |
| Aug 19, 2018 | Sleipner(away) | 4-1 | Division 2 - Södra Svealand |
| Aug 14, 2018 | AFK Linköping(home) | 2-0 | Division 2 - Södra Svealand |
What does the head-to-head say?
Across the last 1 meetings: 0 Nora win(s), 0 draw(s), 1 Sylvia win(s).
| Date | Score | Competition |
|---|---|---|
| May 26, 2018 | Sylvia 3-1 Nora | Division 2 - Södra Svealand |
How many goals should we expect?
Nora score 1.5 and concede 2.1 goals per match over their last 15; Sylvia score 2.5 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Nora | 1.5 | 2.1 | 3 | 9/15 | 11/15 |
| Sylvia | 2.5 | 0.9 | 6 | 8/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Sylvia | 26 | 15 | 2 | 9 | 51 | 34 | 47 |
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