Match

Aarhus vs Skive: result 0-0 and analysis

1. DivisionRegular Season - 11Kick-off on October 5, 2014 at 01:30 PM (UTC)Ceres Park & Arena, Århus

Aarhus
0-0
Skive

Full time

What was the result of Aarhus vs Skive?

Aarhus and Skive drew 0-0 on October 5, 2014.

Official lineup for Aarhus vs Skive

The starting elevens fielded at kick-off.

Aarhus

  1. MM. Vatsadze
  1. JJ. Jønsson
  2. DD. Olsen
  3. SStephan Petersen
  4. HHelgi Valur Daníelsson
  5. DDaniel Christensen
  6. KKim Engel Aabech
  1. DDavid Cortés Caballero
  2. AA. Andersen
  3. NN. Johannessen
  1. LL. Fernandes

Skive

  1. NN. Bøgild
  1. MMathias Pedersen
  2. KKristian Nielsen
  3. JJohn Dyring
  4. MM. Jespersen
  5. JJ. Henriksen
  6. MM. Eriksen
  1. JJesper Nielsen
  2. AAndreas Albech
  3. MM. Cramer
  1. MM. Rosenørn
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Aarhus have 7 wins, 2 draws and 6 defeats; Skive have 6, 5 and 4.

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

Aarhus
DateOpponentScoreCompetition
Sep 28, 2014AC Horsens(away)2-11. Division
Sep 23, 2014Hobro(home)2-1DBU Pokalen
Sep 18, 2014Vejle(home)0-11. Division
Sep 11, 2014Vendsyssel FF(away)3-01. Division
Aug 28, 2014FC Fredericia(home)2-11. Division
Skive
DateOpponentScoreCompetition
Sep 30, 2014Marienlyst(away)2-1DBU Pokalen
Sep 26, 2014Vejle(away)2-11. Division
Sep 19, 2014Vendsyssel FF(home)1-11. Division
Sep 13, 2014Lyngby(away)4-51. Division
Sep 5, 2014AB Copenhagen(home)3-31. Division

How many goals should we expect?

Aarhus score 1.6 and concede 1.1 goals per match over their last 15; Skive score 1.6 and concede 1.8.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Aarhus1.61.146/159/15
Skive1.61.839/157/15

Over the last 15 matches in all competitions.

A question about Aarhus vs Skive?

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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