Match

PSNI vs Ballymacash Rangers: result 1-4 and analysis

Premier Intermediate LeagueRegular Season - 3Kick-off on April 23, 2024 at 05:45 PM (UTC)Queen's University Malone Playing Fields, Belfast

PSNI
1-4
Ballymacash Rangers

Full time

What was the result of PSNI vs Ballymacash Rangers?

Ballymacash Rangers won 1-4 on April 23, 2024.

What is the recent form of both teams?

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

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

PSNI
DateOpponentScoreCompetition
Apr 20, 2024Ballymacash Rangers(away)1-7Premier Intermediate League
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
Ballymacash Rangers
DateOpponentScoreCompetition
Apr 20, 2024PSNI(home)7-1Premier Intermediate League
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

What does the head-to-head say?

Across the last 3 meetings: 0 PSNI win(s), 0 draw(s), 3 Ballymacash Rangers win(s).

DateScoreCompetition
Apr 20, 2024Ballymacash Rangers 7-1 PSNIPremier Intermediate League
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 Apr 20, 2024

How many goals should we expect?

PSNI score 1.1 and concede 2.6 goals per match over their last 15; Ballymacash Rangers score 2.5 and concede 2.0.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
PSNI1.12.6110/1512/15
Ballymacash Rangers2.52.0013/1513/15

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?