Match

Lusitanos vs Penya Encarnada: result 12-1 and analysis

1a DivisióRegular Season - 7Kick-off on November 5, 2017 at 01:00 PM (UTC)Centre d'Entrenament de la FAF 1, Santa Coloma

Lusitanos
12-1
Penya Encarnada

Full time

What was the result of Lusitanos vs Penya Encarnada?

Lusitanos won 12-1 on November 5, 2017.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Lusitanos have 8 wins, 5 draws and 2 defeats; Penya Encarnada have 8, 1 and 6.

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

Lusitanos
DateOpponentScoreCompetition
Oct 29, 2017Inter Club d'Escaldes(away)2-01a Divisió
Oct 22, 2017FC Santa Coloma(home)2-21a Divisió
Oct 15, 2017Encamp(home)2-01a Divisió
Oct 1, 2017UE Engordany(away)3-11a Divisió
Sep 24, 2017UE Sant Julia(home)0-11a Divisió
Penya Encarnada
DateOpponentScoreCompetition
Oct 29, 2017UE Engordany(home)0-61a Divisió
Oct 22, 2017UE Sant Julia(away)0-181a Divisió
Oct 15, 2017UE Santa Coloma(home)0-41a Divisió
Oct 1, 2017Encamp(away)0-61a Divisió
Sep 24, 2017Inter Club d'Escaldes(away)0-21a Divisió

What does the head-to-head say?

Across the last 2 meetings: 2 Lusitanos wins, 0 draws, 0 Penya Encarnada wins.

DateScoreCompetition
Feb 7, 2016Lusitanos 4-0 Penya Encarnada1a Divisió
Nov 8, 2015Penya Encarnada 0-2 Lusitanos1a Divisió

Last archived meeting: Lusitanos vs Penya Encarnada on Feb 7, 2016

How many goals should we expect?

Lusitanos score 1.9 and concede 0.9 goals per match over their last 15; Penya Encarnada score 3.1 and concede 3.4.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Lusitanos1.90.986/156/15
Penya Encarnada3.13.445/1512/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026-27 standings
#ClubPWDLGFGAPts
8Penya Encarnada61235115

A question about Lusitanos vs Penya Encarnada?

Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.

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How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy

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