Newroz vs Atvidabergs FF: result 0-4 and analysis
Division 2 - Södra SvealandSödra Svealand - 12Kick-off on October 10, 2020 at 12:00 PM (UTC)Bredängs BP 1, Stockholm
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What was the result of Newroz vs Atvidabergs FF?
Atvidabergs FF won 0-4 on October 10, 2020.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Newroz have 4 wins, 2 draws and 9 defeats; Atvidabergs FF have 10, 3 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 3, 2020 | Kumla(away) | 3-3 | Division 2 - Södra Svealand |
| Sep 26, 2020 | Huddinge(home) | 2-3 | Division 2 - Södra Svealand |
| Sep 19, 2020 | Arameiska / Syrianska(away) | 0-3 | Division 2 - Södra Svealand |
| Sep 12, 2020 | Rynninge(away) | 3-2 | Division 2 - Södra Svealand |
| Sep 5, 2020 | Trosa-Vagnhärad SK(home) | 1-3 | Division 2 - Södra Svealand |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 4, 2020 | Gute(away) | 2-2 | Division 2 - Södra Svealand |
| Sep 26, 2020 | Rynninge(home) | 3-1 | Division 2 - Södra Svealand |
| Sep 19, 2020 | Huddinge(away) | 1-0 | Division 2 - Södra Svealand |
| Sep 12, 2020 | Trosa-Vagnhärad SK(away) | 3-1 | Division 2 - Södra Svealand |
| Sep 5, 2020 | IFK Eskilstuna(home) | 6-2 | Division 2 - Södra Svealand |
How many goals should we expect?
Newroz score 2.0 and concede 2.7 goals per match over their last 15; Atvidabergs FF score 2.2 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Newroz | 2.0 | 2.7 | 1 | 13/15 | 14/15 |
| Atvidabergs FF | 2.2 | 1.4 | 3 | 11/15 | 12/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Atvidabergs FF | 26 | 21 | 3 | 3 | 70 | 18 | 66 |
A question about Newroz vs Atvidabergs FF?
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