Match

Puente Genil vs Atlético Espeleño: result 0-1 and analysis

Tercera División RFEF - Group 10Group 10 - 28Kick-off on April 1, 2023 at 03:30 PM (UTC)Estadio Municipal Manuel Polinario, Puente Genil

Puente Genil
0-1
Atlético Espeleño

Full time

What was the result of Puente Genil vs Atlético Espeleño?

Atlético Espeleño won 0-1 on April 1, 2023.

Goalscorers

  • 61′Juaniyo GómezAtlético Espeleño

What is the recent form of both teams?

Over their last 15 matches in all competitions, Puente Genil have 7 wins, 4 draws and 4 defeats; Atlético Espeleño have 8, 2 and 5.

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

Puente Genil
DateOpponentScoreCompetition
Mar 25, 2023Conil(away)1-1Tercera División RFEF - Group 10
Mar 19, 2023Bollullos(home)0-3Tercera División RFEF - Group 10
Mar 12, 2023Antoniano(away)1-3Tercera División RFEF - Group 10
Mar 5, 2023Cartaya(home)4-1Tercera División RFEF - Group 10
Feb 25, 2023Rota(away)1-0Tercera División RFEF - Group 10
Atlético Espeleño
DateOpponentScoreCompetition
Mar 26, 2023Ciudad de Lucena(away)1-2Tercera División RFEF - Group 10
Mar 19, 2023Conil(home)5-2Tercera División RFEF - Group 10
Mar 12, 2023Bollullos(away)3-1Tercera División RFEF - Group 10
Mar 5, 2023Antoniano(home)2-1Tercera División RFEF - Group 10
Feb 26, 2023Cartaya(away)3-3Tercera División RFEF - Group 10

What does the head-to-head say?

Across the last 1 meetings: 0 Puente Genil win(s), 1 draw(s), 0 Atlético Espeleño win(s).

DateScoreCompetition
Dec 8, 2022Atlético Espeleño 0-0 Puente GenilTercera División RFEF - Group 10

Last archived meeting: Atlético Espeleño vs Puente Genil on Dec 8, 2022

How many goals should we expect?

Puente Genil score 1.4 and concede 1.0 goals per match over their last 15; Atlético Espeleño score 1.9 and concede 1.6.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Puente Genil1.41.076/157/15
Atlético Espeleño1.91.6211/1512/15

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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