Match

Assyriska FF vs Halmstad: result 0-2 and analysis

SuperettanRegular Season - 5Kick-off on May 1, 2016 at 01:00 PM (UTC)Södertälje Fotbollsarena, Södertälje

Assyriska FF
0-2
Halmstad

Full time

What was the result of Assyriska FF vs Halmstad?

Halmstad won 0-2 on May 1, 2016.

Goalscorers

  • 28′A. TveterHalmstad
  • 77′S. HakšabanovićHalmstad

Official lineup for Assyriska FF vs Halmstad

The starting elevens fielded at kick-off.

Assyriska FF

  1. 10M. Genc
  2. 19Ken Göran Fagerberg
  1. 3S. Strand
  2. 8Daniel Sliper
  3. 12F. Holster
  1. 2Mamadou Wague
  2. 5D. Durmaz
  3. 6Linus Malmborg
  4. 13G. Jarl
  5. 20Rani Haddad
  1. 1Robin Malmkvist

Halmstad

  1. 7Junes Barny
  2. 9A. Tveter
  3. 11Fredrik Olsson
  4. 17S. Hakšabanović
  1. 10Antonio Rojas
  1. 2A. Kojic
  2. 3F. Liverstam
  3. 6Mohammed Ali Khan
  4. 21A. Bengtsson
  5. 27M. Johansson
  1. 1S. Lukić
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What is the recent form of both teams?

Over their last 4 matches in all competitions, Assyriska FF have 1 win, 0 draws and 3 defeats; Halmstad have 3, 0 and 1.

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

Assyriska FF
DateOpponentScoreCompetition
Apr 24, 2016Atvidabergs FF(away)1-2Superettan
Apr 17, 2016Orgryte IS(home)0-1Superettan
Apr 9, 2016IK Frej(away)1-2Superettan
Apr 3, 2016Dalkurd FF(home)2-1Superettan
Halmstad
DateOpponentScoreCompetition
Apr 23, 2016Gais(home)2-0Superettan
Apr 17, 2016Angelholms FF(away)1-0Superettan
Apr 9, 2016Trelleborg(home)3-0Superettan
Apr 4, 2016Sirius(away)1-2Superettan

How many goals should we expect?

Assyriska FF score 1.0 and concede 1.5 goals per match over their last 4; Halmstad score 1.8 and concede 0.5.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Assyriska FF1.01.503/43/4
Halmstad1.80.531/42/4

Over the last 4 matches in all competitions.

A question about Assyriska FF vs Halmstad?

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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