Match

Stockholm Internazionale vs Motala: result 2-2 and analysis

Division 2 - Södra SvealandMatchday 21Kick-off on September 7, 2019 at 12:00 PM (UTC)Kristinebergs IP, Stockholm

Stockholm Internazionale
2-2
Motala

Full time

What was the result of Stockholm Internazionale vs Motala?

Stockholm Internazionale and Motala drew 2-2 on September 7, 2019.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Stockholm Internazionale have 7 wins, 4 draws and 4 defeats; Motala have 6, 6 and 3.

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

Stockholm Internazionale
DateOpponentScoreCompetition
Sep 2, 2019Newroz(away)1-1Division 2 - Södra Svealand
Aug 24, 2019Värmbols(home)1-2Division 2 - Södra Svealand
Aug 17, 2019Tyresö(away)4-1Division 2 - Södra Svealand
Aug 10, 2019Huddinge(home)1-4Division 2 - Södra Svealand
Aug 3, 2019Arameiska / Syrianska(away)2-2Division 2 - Södra Svealand
Motala
DateOpponentScoreCompetition
Aug 31, 2019Assyriska FF(home)1-0Division 2 - Södra Svealand
Aug 24, 2019Haninge(home)1-2Division 2 - Södra Svealand
Aug 19, 2019Newroz(away)2-1Division 2 - Södra Svealand
Aug 10, 2019Värmbols(home)2-1Division 2 - Södra Svealand
Aug 3, 2019Tyresö(away)0-0Division 2 - Södra Svealand

What does the head-to-head say?

In the last meeting: 1 Stockholm Internazionale win, 0 draws, 0 Motala wins.

DateScoreCompetition
May 25, 2019Motala 0-3 Stockholm InternazionaleDivision 2 - Södra Svealand

Last archived meeting: Motala vs Stockholm Internazionale on May 25, 2019

How many goals should we expect?

Stockholm Internazionale score 1.8 and concede 1.1 goals per match over their last 15; Motala score 1.2 and concede 1.1.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Stockholm Internazionale1.81.159/158/15
Motala1.21.159/157/15

Over the last 15 matches in all competitions.

A question about Stockholm Internazionale 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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