Match

Aspudden-Tellus vs Sylvia: result 1-3 and analysis

Division 2 - Södra SvealandRegular Season - 9Kick-off on June 2, 2018 at 02:00 PM (UTC)Aspuddens IP, Stockholm

Aspudden-Tellus
1-3
Sylvia

Full time

What was the result of Aspudden-Tellus vs Sylvia?

Sylvia won 1-3 on June 2, 2018.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Aspudden-Tellus have 7 wins, 3 draws and 5 defeats; Sylvia have 7, 3 and 5.

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

Aspudden-Tellus
DateOpponentScoreCompetition
May 26, 2018Värmdö(away)2-1Division 2 - Södra Svealand
May 19, 2018Motala(home)1-4Division 2 - Södra Svealand
May 12, 2018Nora(home)3-1Division 2 - Södra Svealand
May 5, 2018Värmbols(away)3-1Division 2 - Södra Svealand
Apr 28, 2018Enskede(home)1-1Division 2 - Södra Svealand
Sylvia
DateOpponentScoreCompetition
May 26, 2018Nora(home)3-1Division 2 - Södra Svealand
May 19, 2018Värmbols(away)3-0Division 2 - Södra Svealand
May 12, 2018Enskede(home)0-2Division 2 - Södra Svealand
May 5, 2018Eskilstuna City(away)1-0Division 2 - Södra Svealand
May 1, 2018Sleipner(home)4-2Division 2 - Södra Svealand

What does the head-to-head say?

Across the last 2 meetings: 2 Aspudden-Tellus wins, 0 draws, 0 Sylvia wins.

DateScoreCompetition
Jul 31, 2016Sylvia 2-4 Aspudden-TellusDivision 2 - Södra Svealand
Apr 9, 2016Aspudden-Tellus 3-0 SylviaDivision 2 - Södra Svealand

Last archived meeting: Sylvia vs Aspudden-Tellus on Jul 31, 2016

How many goals should we expect?

Aspudden-Tellus score 1.6 and concede 1.5 goals per match over their last 15; Sylvia score 2.3 and concede 1.9.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Aspudden-Tellus1.61.5112/1511/15
Sylvia2.31.9210/1510/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2025 standings
#ClubPWDLGFGAPts
3Sylvia261529513447

A question about Aspudden-Tellus vs Sylvia?

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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