Match

Flat Earth vs Santa Ana: result 2-0 and analysis

Tercera División RFEF - Group 7Group 7 - 3Kick-off on November 1, 2020 at 05:00 PM (UTC)Campo de Fútbol Castroserna, Madrid

Flat Earth
2-0
Santa Ana

Full time

What was the result of Flat Earth vs Santa Ana?

Flat Earth won 2-0 on November 1, 2020.

Goalscorers

  • 4′Adrián Feliz BatistaFlat Earth
  • 90′David FernándezFlat Earth

What is the recent form of both teams?

Over their last 15 matches in all competitions, Flat Earth have 7 wins, 4 draws and 4 defeats; Santa Ana have 6, 1 and 8.

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

Flat Earth
DateOpponentScoreCompetition
Oct 25, 2020Torrejón(away)0-2Tercera División RFEF - Group 7
Oct 18, 2020Villanueva Pardillo(home)1-0Tercera División RFEF - Group 7
Mar 8, 2020San Fernando Henares(away)2-4Tercera División RFEF - Group 7
Mar 1, 2020Atlético Pinto(home)2-2Tercera División RFEF - Group 7
Feb 23, 2020Alcorcón II(away)1-1Tercera División RFEF - Group 7
Santa Ana
DateOpponentScoreCompetition
Oct 25, 2020RSD Alcalá(home)0-3Tercera División RFEF - Group 7
Oct 18, 2020San Fernando Henares(away)1-3Tercera División RFEF - Group 7
Mar 8, 2020RSD Alcalá(away)1-2Tercera División RFEF - Group 7
Mar 1, 2020Villaverde-Boetticher(home)1-1Tercera División RFEF - Group 7
Feb 23, 2020Torrejón(away)0-1Tercera División RFEF - Group 7

What does the head-to-head say?

Across the last 1 meetings: 1 Flat Earth win(s), 0 draw(s), 0 Santa Ana win(s).

DateScoreCompetition
Dec 21, 2019Santa Ana 0-1 Flat EarthTercera División RFEF - Group 7

Last archived meeting: Santa Ana vs Flat Earth on Dec 21, 2019

How many goals should we expect?

Flat Earth score 1.4 and concede 1.3 goals per match over their last 15; Santa Ana score 1.4 and concede 1.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Flat Earth1.41.348/157/15
Santa Ana1.41.7110/1510/15

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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