Match

Gamla Upsala vs Valbo: result 0-2 and analysis

Division 2 - Norra SvealandRegular Season - 21Kick-off on September 7, 2019 at 02:00 PM (UTC)Gamlis IP, Uppsala

Gamla Upsala
0-2
Valbo

Full time

What was the result of Gamla Upsala vs Valbo?

Valbo won 0-2 on September 7, 2019.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Gamla Upsala have 11 wins, 1 draw and 3 defeats; Valbo have 3, 1 and 11.

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

Gamla Upsala
DateOpponentScoreCompetition
Aug 31, 2019Karlberg(away)2-3Division 2 - Norra Svealand
Aug 24, 2019Täby(home)0-1Division 2 - Norra Svealand
Aug 21, 2019Vasteras SK FK(home)1-3Svenska Cupen
Aug 17, 2019Enköping(away)3-2Division 2 - Norra Svealand
Aug 10, 2019Skiljebo(home)1-0Division 2 - Norra Svealand
Valbo
DateOpponentScoreCompetition
Aug 31, 2019Stocksund(home)0-1Division 2 - Norra Svealand
Aug 24, 2019Karlberg(away)1-2Division 2 - Norra Svealand
Aug 17, 2019Mora(home)0-1Division 2 - Norra Svealand
Aug 10, 2019Täby(away)0-1Division 2 - Norra Svealand
Aug 6, 2019Lidingö(home)1-2Division 2 - Norra Svealand

What does the head-to-head say?

Across the last 3 meetings: 2 Gamla Upsala wins, 1 draw, 0 Valbo wins.

DateScoreCompetition
May 24, 2019Valbo 1-2 Gamla UpsalaDivision 2 - Norra Svealand
Sep 29, 2018Valbo 0-0 Gamla UpsalaDivision 2 - Norra Svealand
Jun 2, 2018Gamla Upsala 4-0 ValboDivision 2 - Norra Svealand

Last archived meeting: Valbo vs Gamla Upsala on May 24, 2019

How many goals should we expect?

Gamla Upsala score 2.4 and concede 1.2 goals per match over their last 15; Valbo score 0.7 and concede 1.4.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Gamla Upsala2.41.2410/1510/15
Valbo0.71.436/157/15

Over the last 15 matches in all competitions.

A question about Gamla Upsala vs Valbo?

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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