Match

Konyaspor vs Värmbols: result 0-6 and analysis

Division 2 - Södra SvealandRegular Season - 25Kick-off on October 9, 2016 at 02:00 PM (UTC)

Konyaspor
0-6
Värmbols

Full time

What was the result of Konyaspor vs Värmbols?

Värmbols won 0-6 on October 9, 2016.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Konyaspor have 0 wins, 0 draws and 15 defeats; Värmbols have 7, 4 and 4.

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

Konyaspor
DateOpponentScoreCompetition
Oct 1, 2016Motala(away)1-14Division 2 - Södra Svealand
Sep 25, 2016Arameiska / Syrianska(away)0-7Division 2 - Södra Svealand
Sep 18, 2016Eskilstuna City(home)1-5Division 2 - Södra Svealand
Sep 11, 2016Sylvia(home)0-5Division 2 - Södra Svealand
Sep 3, 2016Smedby(away)1-10Division 2 - Södra Svealand
Värmbols
DateOpponentScoreCompetition
Oct 2, 2016Södertälje(home)4-1Division 2 - Södra Svealand
Sep 25, 2016Huddinge(home)2-3Division 2 - Södra Svealand
Sep 17, 2016Linköping City(away)0-2Division 2 - Södra Svealand
Sep 10, 2016Assyriska IF(away)3-3Division 2 - Södra Svealand
Sep 4, 2016Motala(home)1-0Division 2 - Södra Svealand

What does the head-to-head say?

In the last meeting: 0 Konyaspor wins, 0 draws, 1 Värmbols win.

DateScoreCompetition
Jun 18, 2016Värmbols 10-0 KonyasporDivision 2 - Södra Svealand

Last archived meeting: Värmbols vs Konyaspor on Jun 18, 2016

How many goals should we expect?

Konyaspor score 0.7 and concede 6.5 goals per match over their last 15; Värmbols score 2.5 and concede 1.5.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Konyaspor0.76.508/1513/15
Värmbols2.51.5310/1511/15

Over the last 15 matches in all competitions.

A question about Konyaspor vs Värmbols?

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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