Match

Rota vs Cabecense: result 1-0 and analysis

Tercera División RFEF - Group 10Group 10 - 26Kick-off on February 27, 2022 at 11:00 AM (UTC)Estadio Municipal Alcalde Navarro Flores, Rota

Rota
1-0
Cabecense

Full time

What was the result of Rota vs Cabecense?

Rota won 1-0 on February 27, 2022.

Goalscorers

  • 52′Ismael ZeballosRota

What is the recent form of both teams?

Over their last 15 matches in all competitions, Rota have 5 wins, 3 draws and 7 defeats; Cabecense have 4, 0 and 11.

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

Rota
DateOpponentScoreCompetition
Feb 20, 2022Ciudad de Lucena(home)1-0Tercera División RFEF - Group 10
Feb 12, 2022Ceuta II(away)2-2Tercera División RFEF - Group 10
Feb 6, 2022Utrera(home)1-1Tercera División RFEF - Group 10
Jan 30, 2022Tomares(away)1-2Tercera División RFEF - Group 10
Jan 26, 2022Córdoba II(away)1-3Tercera División RFEF - Group 10
Cabecense
DateOpponentScoreCompetition
Feb 20, 2022Pozoblanco(home)2-1Tercera División RFEF - Group 10
Feb 13, 2022Ciudad de Lucena(away)0-1Tercera División RFEF - Group 10
Feb 9, 2022Tomares(away)0-2Tercera División RFEF - Group 10
Feb 6, 2022Los Barrios(home)3-0Tercera División RFEF - Group 10
Jan 29, 2022Ceuta II(away)1-3Tercera División RFEF - Group 10

What does the head-to-head say?

Across the last 3 meetings: 1 Rota win(s), 1 draw(s), 1 Cabecense win(s).

DateScoreCompetition
Oct 31, 2021Cabecense 1-1 RotaTercera División RFEF - Group 10
Feb 17, 2021Cabecense 1-0 RotaTercera División RFEF - Group 10
Oct 25, 2020Rota 2-0 CabecenseTercera División RFEF - Group 10

Last archived meeting: Cabecense vs Rota on Oct 31, 2021

How many goals should we expect?

Rota score 1.1 and concede 1.6 goals per match over their last 15; Cabecense score 0.9 and concede 1.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Rota1.11.639/159/15
Cabecense0.91.734/159/15

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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