Match

Sylvia vs Aspudden-Tellus: result 2-4 and analysis

Division 2 - Södra SvealandRegular Season - 15Kick-off on July 31, 2016 at 01:00 PM (UTC)PlatinumCars Arena, Norrköping

Sylvia
2-4
Aspudden-Tellus

Full time

What was the result of Sylvia vs Aspudden-Tellus?

Aspudden-Tellus won 2-4 on July 31, 2016.

What is the recent form of both teams?

Over their last 14 matches in all competitions, Sylvia have 3 wins, 3 draws and 8 defeats; Aspudden-Tellus have 6, 2 and 6.

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

Sylvia
DateOpponentScoreCompetition
Jul 22, 2016Värmbols(away)1-2Division 2 - Södra Svealand
Jun 22, 2016Eskilstuna City(home)1-2Division 2 - Södra Svealand
Jun 18, 2016Arameiska / Syrianska(away)1-1Division 2 - Södra Svealand
Jun 12, 2016Vimmerby(home)3-3Division 2 - Södra Svealand
Jun 5, 2016Smedby(home)2-4Division 2 - Södra Svealand
Aspudden-Tellus
DateOpponentScoreCompetition
Jul 26, 2016Arameiska / Syrianska(home)2-5Division 2 - Södra Svealand
Jun 22, 2016Smedby(away)2-2Division 2 - Södra Svealand
Jun 18, 2016Södertälje(home)3-2Division 2 - Södra Svealand
Jun 12, 2016Konyaspor(away)6-1Division 2 - Södra Svealand
Jun 4, 2016Karlslund(home)4-0Division 2 - Södra Svealand

What does the head-to-head say?

In the last meeting: 0 Sylvia wins, 0 draws, 1 Aspudden-Tellus win.

DateScoreCompetition
Apr 9, 2016Aspudden-Tellus 3-0 SylviaDivision 2 - Södra Svealand

Last archived meeting: Aspudden-Tellus vs Sylvia on Apr 9, 2016

How many goals should we expect?

Sylvia score 1.5 and concede 2.2 goals per match over their last 14; Aspudden-Tellus score 2.1 and concede 1.8.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Sylvia1.52.2011/1412/14
Aspudden-Tellus2.11.848/1411/14

Over the last 14 matches in all competitions.

Where do both teams sit in the table?

2025 standings
#ClubPWDLGFGAPts
3Sylvia261529513447

A question about Sylvia vs Aspudden-Tellus?

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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