Match

Assyriska Turabdin vs Dalstorps: result 1-1 and analysis

Division 2 - Södra GötalandRegular Season - 12Kick-off on June 21, 2018 at 05:00 PM (UTC)Rosenlunds IP, Jönköping

Assyriska Turabdin
1-1
Dalstorps

Full time

What was the result of Assyriska Turabdin vs Dalstorps?

Assyriska Turabdin and Dalstorps drew 1-1 on June 21, 2018.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Assyriska Turabdin have 8 wins, 3 draws and 4 defeats; Dalstorps have 5, 5 and 5.

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

Assyriska Turabdin
DateOpponentScoreCompetition
Jun 15, 2018Nässjö(away)2-4Division 2 - Södra Götaland
Jun 9, 2018Lindsdal(home)4-1Division 2 - Södra Götaland
Jun 2, 2018Bromölla(away)1-1Division 2 - Södra Götaland
May 26, 2018IFK Hässleholm(home)2-0Division 2 - Södra Götaland
May 19, 2018Asarum(away)3-1Division 2 - Södra Götaland
Dalstorps
DateOpponentScoreCompetition
Jun 16, 2018Berga(home)2-0Division 2 - Södra Götaland
Jun 6, 2018Hässleholms IF(away)0-3Division 2 - Södra Götaland
Jun 2, 2018Österlen(home)1-0Division 2 - Södra Götaland
May 26, 2018Räppe(away)1-1Division 2 - Södra Götaland
May 19, 2018Nosaby(home)1-0Division 2 - Södra Götaland

What does the head-to-head say?

Across the last 2 meetings: 0 Assyriska Turabdin wins, 1 draw, 1 Dalstorps win.

DateScoreCompetition
Sep 2, 2017Dalstorps 2-1 Assyriska TurabdinDivision 2 - Västra Götaland
May 20, 2017Assyriska Turabdin 1-1 DalstorpsDivision 2 - Västra Götaland

Last archived meeting: Dalstorps vs Assyriska Turabdin on Sep 2, 2017

How many goals should we expect?

Assyriska Turabdin score 2.3 and concede 1.6 goals per match over their last 15; Dalstorps score 1.0 and concede 1.0.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Assyriska Turabdin2.31.6411/1511/15
Dalstorps1.01.048/154/15

Over the last 15 matches in all competitions.

A question about Assyriska Turabdin vs Dalstorps?

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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