Match

Madrid 2021 FP vs Complutense: result 1-0 and analysis

Tercera División RFEF - Group 7Group 7 - 35Kick-off on March 20, 2022 at 10:00 AM (UTC)Estadio La Aldehuela, Fuenlabrada

Madrid 2021 FP
1-0
Complutense

Full time

What was the result of Madrid 2021 FP vs Complutense?

Madrid 2021 FP won 1-0 on March 20, 2022.

Goalscorers

  • 20′Marcos de LomaMadrid 2021 FP

What is the recent form of both teams?

Over their last 15 matches in all competitions, Madrid 2021 FP have 5 wins, 5 draws and 5 defeats; Complutense have 3, 3 and 9.

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

Madrid 2021 FP
DateOpponentScoreCompetition
Mar 16, 2022Moratalaz(away)1-0Tercera División RFEF - Group 7
Mar 13, 2022Villaviciosa Odón(home)1-1Tercera División RFEF - Group 7
Mar 9, 2022Getafe II(home)1-0Tercera División RFEF - Group 7
Feb 27, 2022Villaverde-Boetticher(home)0-0Tercera División RFEF - Group 7
Feb 20, 2022Trival Valderas(away)1-0Tercera División RFEF - Group 7
Complutense
DateOpponentScoreCompetition
Mar 16, 2022Getafe II(home)2-2Tercera División RFEF - Group 7
Mar 13, 2022Tres Cantos(away)0-1Tercera División RFEF - Group 7
Mar 5, 2022Galapagar(home)1-0Tercera División RFEF - Group 7
Feb 26, 2022Alcorcón II(away)1-2Tercera División RFEF - Group 7
Feb 23, 2022Torrejón(home)2-1Tercera División RFEF - Group 7

What does the head-to-head say?

Across the last 1 meetings: 0 Madrid 2021 FP win(s), 0 draw(s), 1 Complutense win(s).

DateScoreCompetition
Nov 21, 2021Complutense 1-0 Madrid 2021 FPTercera División RFEF - Group 7

Last archived meeting: Complutense vs Madrid 2021 FP on Nov 21, 2021

How many goals should we expect?

Madrid 2021 FP score 0.9 and concede 1.1 goals per match over their last 15; Complutense score 0.8 and concede 1.4.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Madrid 2021 FP0.91.185/153/15
Complutense0.81.427/156/15

Over the last 15 matches in all competitions.

How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy

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