Match

Ballymacash Rangers vs PSNI: result 7-1 and analysis

Premier Intermediate LeagueRegular Season - 25Kick-off on April 20, 2024 at 02:00 PM (UTC)The Bluebell Stadium, Lisburn

Ballymacash Rangers
7-1
PSNI

Full time

What was the result of Ballymacash Rangers vs PSNI?

Ballymacash Rangers won 7-1 on April 20, 2024.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Ballymacash Rangers have 7 wins, 0 draws and 8 defeats; PSNI have 3, 1 and 11.

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

Ballymacash Rangers
DateOpponentScoreCompetition
Apr 13, 2024Warrenpoint Town(away)0-1Premier Intermediate League
Apr 5, 2024Lisburn Distillery(home)4-2Premier Intermediate League
Mar 23, 2024Banbridge Town(away)2-1Premier Intermediate League
Mar 16, 2024Queen's University(home)3-1Premier Intermediate League
Mar 12, 2024Limavady United(away)1-2Premier Intermediate League
PSNI
DateOpponentScoreCompetition
Apr 13, 2024Coagh United(home)0-1Premier Intermediate League
Apr 6, 2024Banbridge Town(home)1-4Premier Intermediate League
Mar 23, 2024Queen's University(away)2-1Premier Intermediate League
Mar 19, 2024Queen's University(home)1-1Premier Intermediate League
Mar 16, 2024Lisburn Distillery(home)3-0Premier Intermediate League

What does the head-to-head say?

Across the last 2 meetings: 2 Ballymacash Rangers win(s), 0 draw(s), 0 PSNI win(s).

DateScoreCompetition
Feb 4, 2023Ballymacash Rangers 5-0 PSNIPremier Intermediate League
Jan 7, 2023PSNI 0-8 Ballymacash RangersPremier Intermediate League

Last archived meeting: Ballymacash Rangers vs PSNI on Feb 4, 2023

How many goals should we expect?

Ballymacash Rangers score 2.0 and concede 2.1 goals per match over their last 15; PSNI score 1.1 and concede 2.3.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Ballymacash Rangers2.02.1012/1513/15
PSNI1.12.319/1511/15

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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