Match

Rågsved vs Fittja: result 4-2 and analysis

Division 2 - Södra SvealandSödra Svealand - 5Kick-off on April 24, 2026 at 06:00 PM (UTC)Hagsätra IP, Stockholm

Rågsved
4-2
Fittja

Full time

What was the result of Rågsved vs Fittja?

Rågsved won 4-2 on April 24, 2026.

Goalscorers

  • 34′572070Rågsved
  • 40′J. TesfayFittja
  • 58′658295Fittja
  • 61′658296Rågsved
  • 72′572070Rågsved
  • 84′572094Rågsved

What is the recent form of both teams?

Over their last 15 matches in all competitions, Rågsved have 7 wins, 3 draws and 5 defeats; Fittja have 2, 2 and 2.

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

Rågsved
DateOpponentScoreCompetition
Apr 18, 2026Haninge(away)2-2Division 2 - Södra Svealand
Apr 11, 2026Eker Örebro(home)2-0Division 2 - Södra Svealand
Apr 5, 2026Örebro Syrianska(away)1-1Division 2 - Södra Svealand
Mar 27, 2026Nacka Iliria(home)1-0Division 2 - Södra Svealand
Nov 9, 2025Falu BS(away)0-3Division 2 - Play-offs
Fittja
DateOpponentScoreCompetition
Apr 18, 2026Farsta(home)3-2Division 2 - Södra Svealand
Apr 11, 2026Sleipner(home)1-2Division 2 - Södra Svealand
Apr 3, 2026Nacka Iliria(away)1-2Division 2 - Södra Svealand
Mar 28, 2026Syrianska FC(home)0-0Division 2 - Södra Svealand
Nov 2, 2025Huddinge(away)1-1Division 2 - Södra Svealand

How many goals should we expect?

Rågsved score 2.1 and concede 1.1 goals per match over their last 15; Fittja score 1.7 and concede 1.5.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Rågsved2.11.167/158/15
Fittja1.71.515/64/6

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

Rågsved sit 5th in Division 2 - Södra Svealand (45 points from 26 matches) and Fittja sit 8th (36 points from 26 matches).

2026 standings
#ClubPWDLGFGAPts
5Rågsved261367534245
8Fittja2611312414136

A question about Rågsved vs Fittja?

Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.

Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.

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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