Nora vs Huddinge: result 6-3 and analysis
Division 2 - Södra SvealandRegular Season - 11Kick-off on June 16, 2018 at 11:00 AM (UTC)Norvalla, Nora
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What was the result of Nora vs Huddinge?
Nora won 6-3 on June 16, 2018.
What is the recent form of both teams?
Over their last 10 matches in all competitions, Nora have 5 wins, 1 draw and 4 defeats; Huddinge have 4, 1 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 9, 2018 | Newroz(away) | 1-2 | Division 2 - Södra Svealand |
| Jun 6, 2018 | Södertälje(home) | 4-0 | Division 2 - Södra Svealand |
| May 30, 2018 | Eskilstuna City(home) | 3-1 | Division 2 - Södra Svealand |
| May 26, 2018 | Sylvia(away) | 1-3 | Division 2 - Södra Svealand |
| May 19, 2018 | Värmdö(home) | 1-0 | Division 2 - Södra Svealand |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 9, 2018 | Värmbols(home) | 1-2 | Division 2 - Södra Svealand |
| Jun 2, 2018 | Enskede(away) | 2-3 | Division 2 - Södra Svealand |
| May 26, 2018 | Eskilstuna City(home) | 4-1 | Division 2 - Södra Svealand |
| May 20, 2018 | Sleipner(away) | 3-2 | Division 2 - Södra Svealand |
| May 13, 2018 | AFK Linköping(home) | 1-2 | Division 2 - Södra Svealand |
How many goals should we expect?
Nora score 1.6 and concede 1.3 goals per match over their last 10; Huddinge score 1.7 and concede 2.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Nora | 1.6 | 1.3 | 3 | 6/10 | 7/10 |
| Huddinge | 1.7 | 2.3 | 1 | 12/15 | 14/15 |
Over the last 10 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 12 | Huddinge | 26 | 9 | 3 | 14 | 48 | 64 | 30 |
A question about Nora vs Huddinge?
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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