Match

Sleipner vs Motala: result 1-1 and analysis

Division 2 - Södra SvealandRegular Season - 22Kick-off on September 24, 2018 at 05:00 PM (UTC)PlatinumCars Arena, Norrköping

Sleipner
1-1
Motala

Full time

What was the result of Sleipner vs Motala?

Sleipner and Motala drew 1-1 on September 24, 2018.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Sleipner have 3 wins, 4 draws and 8 defeats; Motala have 8, 2 and 5.

The competition is shown for every match: in pre-season, several of these games are friendlies.

Sleipner
DateOpponentScoreCompetition
Sep 15, 2018Haninge(home)1-6Division 2 - Södra Svealand
Sep 8, 2018Huddinge(away)0-1Division 2 - Södra Svealand
Sep 2, 2018Newroz(home)1-1Division 2 - Södra Svealand
Aug 25, 2018Södertälje(away)2-2Division 2 - Södra Svealand
Aug 19, 2018Sylvia(home)1-4Division 2 - Södra Svealand
Motala
DateOpponentScoreCompetition
Sep 15, 2018AFK Linköping(away)2-2Division 2 - Södra Svealand
Sep 8, 2018Aspudden-Tellus(home)4-1Division 2 - Södra Svealand
Sep 1, 2018Haninge(away)1-2Division 2 - Södra Svealand
Aug 27, 2018Nora(home)4-1Division 2 - Södra Svealand
Aug 18, 2018Huddinge(away)4-0Division 2 - Södra Svealand

What does the head-to-head say?

Across the last 3 meetings: 2 Sleipner wins, 0 draws, 1 Motala win.

DateScoreCompetition
Jun 11, 2018Motala 2-3 SleipnerDivision 2 - Södra Svealand
Oct 8, 2017Sleipner 2-4 MotalaDivision 2 - Södra Svealand
Jun 15, 2017Motala 2-3 SleipnerDivision 2 - Södra Svealand

Last archived meeting: Motala vs Sleipner on Jun 11, 2018

How many goals should we expect?

Sleipner score 1.5 and concede 2.0 goals per match over their last 15; Motala score 2.7 and concede 1.5.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Sleipner1.52.0210/159/15
Motala2.71.5312/1514/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026 standings
#ClubPWDLGFGAPts
2Sleipner251465513648

A question about Sleipner vs Motala?

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

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