Match

Fauske Sprint vs Lillestrøm II: result 4-3 and analysis

3. Division - Girone 5Regular Season - 10Kick-off on June 14, 2026 at 01:00 PM (UTC)

Fauske Sprint
4-3
Lillestrøm II

Full time

What was the result of Fauske Sprint vs Lillestrøm II?

Fauske Sprint won 4-3 on June 14, 2026.

Goalscorers

  • 23′W. FadilFauske Sprint (o.g.)
  • 58′637908Lillestrøm II
  • 75′W. FadilLillestrøm II
  • 85′637908Lillestrøm II
  • 87′667225Fauske Sprint
  • 88′667225Fauske Sprint
  • 90′657262Fauske Sprint

What is the recent form of both teams?

Over their last 9 matches in all competitions, Fauske Sprint have 4 wins, 4 draws and 1 defeat; Lillestrøm II have 9, 0 and 6.

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

Fauske Sprint
DateOpponentScoreCompetition
May 31, 2026Skjetten(away)3-23. Division - Girone 5
May 25, 2026Skjervøy(home)3-33. Division - Girone 5
May 14, 2026Tromsø II(away)3-13. Division - Girone 5
May 10, 2026Skedsmo(home)1-33. Division - Girone 5
May 3, 2026Alta(away)4-43. Division - Girone 5
Lillestrøm II
DateOpponentScoreCompetition
May 30, 2026Alta(home)2-43. Division - Girone 5
May 26, 2026Strømsgodset II(away)3-13. Division - Girone 5
May 16, 2026Skedsmo(home)1-23. Division - Girone 5
May 9, 2026Harstad(away)3-23. Division - Girone 5
May 3, 2026Finnsnes(home)3-23. Division - Girone 5

How many goals should we expect?

Fauske Sprint score 2.8 and concede 2.4 goals per match over their last 9; Lillestrøm II score 2.7 and concede 2.1.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Fauske Sprint2.82.409/99/9
Lillestrøm II2.72.1211/1514/15

Over the last 9 matches in all competitions.

Where do both teams sit in the table?

Fauske Sprint sit 10th in 3. Division - Girone 5 (31 points from 26 matches) and Lillestrøm II sit 8th (34 points from 26 matches).

2026 standings
#ClubPWDLGFGAPts
8Lillestrøm II2611114836234
10Fauske Sprint269413649831

A question about Fauske Sprint vs Lillestrøm II?

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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