Newroz vs Sleipner: result 2-1 and analysis
Division 2 - Södra SvealandRegular Season - 6Kick-off on May 12, 2018 at 03:00 PM (UTC)Bredängs BP 1, Stockholm
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What was the result of Newroz vs Sleipner?
Newroz won 2-1 on May 12, 2018.
What is the recent form of both teams?
Over their last 5 matches in all competitions, Newroz have 2 wins, 2 draws and 1 defeat; Sleipner have 5, 4 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 5, 2018 | AFK Linköping(away) | 2-1 | Division 2 - Södra Svealand |
| Apr 28, 2018 | Haninge(home) | 2-2 | Division 2 - Södra Svealand |
| Apr 21, 2018 | Huddinge(away) | 3-0 | Division 2 - Södra Svealand |
| Apr 14, 2018 | Motala(away) | 2-3 | Division 2 - Södra Svealand |
| Apr 7, 2018 | Södertälje(home) | 0-0 | Division 2 - Södra Svealand |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 6, 2018 | Södertälje(home) | 1-1 | Division 2 - Södra Svealand |
| May 1, 2018 | Sylvia(away) | 2-4 | Division 2 - Södra Svealand |
| Apr 22, 2018 | Värmdö(home) | 2-3 | Division 2 - Södra Svealand |
| Apr 14, 2018 | Aspudden-Tellus(away) | 2-3 | Division 2 - Södra Svealand |
| Apr 8, 2018 | Nora(home) | 1-2 | Division 2 - Södra Svealand |
How many goals should we expect?
Newroz score 1.8 and concede 1.2 goals per match over their last 5; Sleipner score 1.8 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Newroz | 1.8 | 1.2 | 2 | 3/5 | 4/5 |
| Sleipner | 1.8 | 1.8 | 4 | 10/15 | 10/15 |
Over the last 5 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Sleipner | 25 | 14 | 6 | 5 | 51 | 36 | 48 |
A question about Newroz vs Sleipner?
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