Match

Farsø/Ullits vs Kolding B: result 1-2 and analysis

DBU Pokalen2nd RoundKick-off on September 2, 2025 at 03:00 PM (UTC)Farsø atletikstadion, Farsø

Farsø/Ullits
1-2
Kolding B

Full time

What was the result of Farsø/Ullits vs Kolding B?

Kolding B won 1-2 on September 2, 2025.

Goalscorers

  • 47′597446Kolding B
  • 51′597331Kolding B
  • 90′597362Farsø/Ullits

Official lineup for Farsø/Ullits vs Kolding B

The starting elevens fielded at kick-off.

Farsø/Ullits

  1. 1N. Finnerup
  2. 2O. Asutay
  3. 6J. K. Sorensen
  4. 7J. Christensen
  5. 8J. Jensen
  6. 10J. Nyby
  7. 13J. Poulsen
  8. 14G. T. Andersen S.
  9. 15K. V. Sorensen
  10. 17A. L. Drejer
  11. 47L. Christensen

Kolding B

  1. 1B. Samolyuk
  2. 3E. Collatz
  3. 5M. Jensen
  4. 6E. Paaske
  5. 8N. Skov
  6. 9M. Riis
  7. 12M. Hansen
  8. 14E. Pedersen
  9. 15P. Kildal
  10. 17T. Martensen
  11. 20M. Juhl
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What is the recent form of both teams?

Over their last 2 matches in all competitions, Farsø/Ullits have 1 win, 0 draws and 1 defeat; Kolding B have 5, 2 and 8.

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

Farsø/Ullits
DateOpponentScoreCompetition
Aug 5, 2025Nørresundby(home)4-3DBU Pokalen
Aug 2, 2022Skive(home)1-4DBU Pokalen
Kolding B
DateOpponentScoreCompetition
Aug 5, 2025BK Chang(away)3-0DBU Pokalen
Sep 3, 2024Vendsyssel FF(home)1-2DBU Pokalen
Aug 6, 2024Dalum(home)1-1DBU Pokalen
Sep 6, 2023Hobro(home)0-2DBU Pokalen
Aug 8, 2023Varde(home)4-0DBU Pokalen

How many goals should we expect?

Farsø/Ullits score 2.5 and concede 3.5 goals per match over their last 2; Kolding B score 1.4 and concede 1.9.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Farsø/Ullits2.53.502/22/2
Kolding B1.41.927/1512/15

Over the last 2 matches in all competitions.

A question about Farsø/Ullits vs Kolding B?

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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