Match

Sleipner vs Värmbols: result 3-1 and analysis

Division 2 - Södra SvealandRegular Season - 24Kick-off on October 5, 2018 at 05:00 PM (UTC)PlatinumCars Arena, Norrköping

Sleipner
3-1
Värmbols

Full time

What was the result of Sleipner vs Värmbols?

Sleipner won 3-1 on October 5, 2018.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Sleipner have 3 wins, 5 draws and 7 defeats; Värmbols have 8, 3 and 4.

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

Sleipner
DateOpponentScoreCompetition
Sep 29, 2018AFK Linköping(away)0-1Division 2 - Södra Svealand
Sep 24, 2018Motala(home)1-1Division 2 - Södra Svealand
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
Värmbols
DateOpponentScoreCompetition
Sep 29, 2018Newroz(away)1-3Division 2 - Södra Svealand
Sep 22, 2018Huddinge(home)1-0Division 2 - Södra Svealand
Sep 15, 2018Södertälje(home)2-0Division 2 - Södra Svealand
Sep 8, 2018Sylvia(away)1-2Division 2 - Södra Svealand
Sep 1, 2018Värmdö(home)2-2Division 2 - Södra Svealand

What does the head-to-head say?

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

DateScoreCompetition
Jun 29, 2018Värmbols 1-0 SleipnerDivision 2 - Södra Svealand
Jul 30, 2017Sleipner 2-1 VärmbolsDivision 2 - Södra Svealand
Apr 9, 2017Värmbols 0-2 SleipnerDivision 2 - Södra Svealand

Last archived meeting: Värmbols vs Sleipner on Jun 29, 2018

How many goals should we expect?

Sleipner score 1.3 and concede 1.7 goals per match over their last 15; Värmbols score 1.7 and concede 0.9.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Sleipner1.31.729/157/15
Värmbols1.70.958/157/15

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 Värmbols?

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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