Match

KFUM Roskilde vs Taastrup: result 3-0 and analysis

Denmark Series - Group 2Regular Season - 10Kick-off on October 10, 2015 at 11:30 AM (UTC)Lillevang Idrætscenter, Roskilde

KFUM Roskilde
3-0
Taastrup

Full time

What was the result of KFUM Roskilde vs Taastrup?

KFUM Roskilde won 3-0 on October 10, 2015.

What is the recent form of both teams?

Over their last 15 matches in all competitions, KFUM Roskilde have 12 wins, 0 draws and 3 defeats; Taastrup have 5, 2 and 8.

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

KFUM Roskilde
DateOpponentScoreCompetition
Oct 3, 2015Tuse(away)2-1Denmark Series - Group 2
Sep 26, 2015B 1909(home)2-0Denmark Series - Group 2
Sep 22, 2015Viborg(home)1-5DBU Pokalen
Sep 19, 2015SfB-Oure(away)3-1Denmark Series - Group 2
Sep 12, 2015Sønderborg(home)3-1Denmark Series - Group 2
Taastrup
DateOpponentScoreCompetition
Oct 3, 2015Rishøj(home)1-2Denmark Series - Group 2
Sep 26, 2015Sydvest(away)1-3Denmark Series - Group 2
Sep 19, 2015Varde IF Elite(home)1-0Denmark Series - Group 2
Sep 12, 2015Greve(away)3-0Denmark Series - Group 2
Sep 5, 2015Tarup-Paarup(home)2-2Denmark Series - Group 2

What does the head-to-head say?

Across the last 4 meetings: 1 KFUM Roskilde win, 1 draw, 2 Taastrup wins.

DateScoreCompetition
Mar 28, 2015KFUM Roskilde 0-4 TaastrupDenmark Series - Group 1
Aug 16, 2014Taastrup 3-3 KFUM RoskildeDenmark Series - Group 1
Apr 26, 2014KFUM Roskilde 4-3 TaastrupDenmark Series - Group 2
Sep 14, 2013Taastrup 2-0 KFUM RoskildeDenmark Series - Group 2

Last archived meeting: KFUM Roskilde vs Taastrup on Mar 28, 2015

How many goals should we expect?

KFUM Roskilde score 2.7 and concede 1.5 goals per match over their last 15; Taastrup score 1.2 and concede 1.5.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
KFUM Roskilde2.71.5312/1513/15
Taastrup1.21.537/158/15

Over the last 15 matches in all competitions.

A question about KFUM Roskilde vs Taastrup?

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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