Nora vs Eskilstuna City: result 3-1 and analysis
Division 2 - Södra SvealandRegular Season - 8Kick-off on May 30, 2018 at 05:00 PM (UTC)Norvalla, Nora
Full time
What was the result of Nora vs Eskilstuna City?
Nora won 3-1 on May 30, 2018.
What is the recent form of both teams?
Over their last 7 matches in all competitions, Nora have 3 wins, 1 draw and 3 defeats; Eskilstuna City have 2, 2 and 11.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 26, 2018 | Sylvia(away) | 1-3 | Division 2 - Södra Svealand |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 26, 2018 | Huddinge(away) | 1-4 | Division 2 - Södra Svealand |
| May 19, 2018 | Newroz(home) | 1-4 | Division 2 - Södra Svealand |
| May 12, 2018 | Södertälje(away) | 0-4 | Division 2 - Södra Svealand |
| May 5, 2018 | Sylvia(home) | 0-1 | Division 2 - Södra Svealand |
| May 1, 2018 | Värmdö(away) | 1-1 | Division 2 - Södra Svealand |
How many goals should we expect?
Nora score 1.1 and concede 1.4 goals per match over their last 7; Eskilstuna City score 1.1 and concede 2.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Nora | 1.1 | 1.4 | 2 | 4/7 | 4/7 |
| Eskilstuna City | 1.1 | 2.3 | 2 | 9/15 | 9/15 |
Over the last 7 matches in all competitions.
A question about Nora vs Eskilstuna City?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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