Match

Eskilstuna City vs Motala: result 2-4 and analysis

Division 2 - Södra SvealandRegular Season - 25Kick-off on October 14, 2018 at 02:00 PM (UTC)Tunavallen, Eskilstuna

Eskilstuna City
2-4
Motala

Full time

What was the result of Eskilstuna City vs Motala?

Motala won 2-4 on October 14, 2018.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Eskilstuna City have 4 wins, 1 draw and 10 defeats; Motala have 8, 2 and 5.

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

Eskilstuna City
DateOpponentScoreCompetition
Oct 7, 2018Enskede(home)2-3Division 2 - Södra Svealand
Sep 29, 2018Haninge(away)1-5Division 2 - Södra Svealand
Sep 23, 2018AFK Linköping(home)1-2Division 2 - Södra Svealand
Sep 16, 2018Huddinge(home)2-2Division 2 - Södra Svealand
Sep 8, 2018Newroz(away)1-5Division 2 - Södra Svealand
Motala
DateOpponentScoreCompetition
Oct 6, 2018Södertälje(home)6-0Division 2 - Södra Svealand
Sep 29, 2018Värmdö(home)1-0Division 2 - Södra Svealand
Sep 24, 2018Sleipner(away)1-1Division 2 - Södra Svealand
Sep 15, 2018AFK Linköping(away)2-2Division 2 - Södra Svealand
Sep 8, 2018Aspudden-Tellus(home)4-1Division 2 - Södra Svealand

What does the head-to-head say?

Across the last 3 meetings: 2 Eskilstuna City wins, 0 draws, 1 Motala win.

DateScoreCompetition
Jun 25, 2018Motala 7-0 Eskilstuna CityDivision 2 - Södra Svealand
Aug 20, 2016Eskilstuna City 6-2 MotalaDivision 2 - Södra Svealand
May 5, 2016Motala 3-4 Eskilstuna CityDivision 2 - Södra Svealand

Last archived meeting: Motala vs Eskilstuna City on Jun 25, 2018

How many goals should we expect?

Eskilstuna City score 1.3 and concede 2.9 goals per match over their last 15; Motala score 2.7 and concede 1.5.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Eskilstuna City1.32.9111/1513/15
Motala2.71.5411/1513/15

Over the last 15 matches in all competitions.

A question about Eskilstuna City vs Motala?

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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