Match

San Rafael vs Serverense: result 3-0 and analysis

Tercera División RFEF - Group 11Group 11 - 31Kick-off on February 26, 2022 at 01:00 PM (UTC)Estadio Municipal de Sant Rafel, Ibiza

San Rafael
3-0
Serverense

Full time

What was the result of San Rafael vs Serverense?

San Rafael won 3-0 on February 26, 2022.

Goalscorers

  • 68′Manuel Martos RodríguezSan Rafael (pen.)
  • 73′Javi VerdúSan Rafael
  • 82′Jesús Indio TumbacoSan Rafael

What is the recent form of both teams?

Over their last 15 matches in all competitions, San Rafael have 3 wins, 3 draws and 9 defeats; Serverense have 2, 4 and 9.

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

San Rafael
DateOpponentScoreCompetition
Feb 16, 2022Son Veri(away)2-0Tercera División RFEF - Group 11
Feb 13, 2022Portmany(home)4-2Tercera División RFEF - Group 11
Feb 9, 2022Murense(away)1-1Tercera División RFEF - Group 11
Feb 6, 2022Constància(away)0-1Tercera División RFEF - Group 11
Feb 2, 2022Inter Ibiza(home)4-0Tercera División RFEF - Group 11
Serverense
DateOpponentScoreCompetition
Feb 13, 2022PE Sant Jordi(away)0-2Tercera División RFEF - Group 11
Feb 6, 2022Sóller(home)0-1Tercera División RFEF - Group 11
Feb 2, 2022Poblense(away)0-4Tercera División RFEF - Group 11
Jan 28, 2022Binissalem(home)1-1Tercera División RFEF - Group 11
Jan 22, 2022Llosetense(away)0-3Tercera División RFEF - Group 11

What does the head-to-head say?

Across the last 1 meetings: 1 San Rafael win(s), 0 draw(s), 0 Serverense win(s).

DateScoreCompetition
Oct 24, 2021Serverense 1-2 San RafaelTercera División RFEF - Group 11

Last archived meeting: Serverense vs San Rafael on Oct 24, 2021

How many goals should we expect?

San Rafael score 0.9 and concede 1.6 goals per match over their last 15; Serverense score 0.7 and concede 2.1.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
San Rafael0.91.645/156/15
Serverense0.72.116/158/15

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

Other matches in the same round

Ready to know everything about football?