Match

PSNI vs Moyola Park: result 0-1 and analysis

League CupPreliminary RoundKick-off on August 29, 2023 at 06:15 PM (UTC)Queen's University Malone Playing Fields, Belfast

PSNI
0-1
Moyola Park

Full time

What was the result of PSNI vs Moyola Park?

Moyola Park won 0-1 on August 29, 2023.

What is the recent form of both teams?

Over their last 15 matches in all competitions, PSNI have 6 wins, 2 draws and 7 defeats; Moyola Park have 4, 5 and 6.

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

PSNI
DateOpponentScoreCompetition
Aug 26, 2023Dollingstown(home)1-4Premier Intermediate League
May 2, 2023Lisburn Distillery(home)3-1Premier Intermediate League
Apr 29, 2023Armagh City(away)2-0Premier Intermediate League
Apr 25, 2023Dollingstown(away)3-0Premier Intermediate League
Apr 22, 2023Banbridge Town(away)1-1Premier Intermediate League
Moyola Park
DateOpponentScoreCompetition
Aug 26, 2023Warrenpoint Town(home)0-3Premier Intermediate League
Jul 18, 2023Ballyclare Comrades(home)2-2Friendlies Clubs
Jul 10, 2023Bangor(away)1-1Friendlies Clubs
May 2, 2023Limavady United(away)1-1Premier Intermediate League
Apr 29, 2023Tobermore United(home)0-0Premier Intermediate League

What does the head-to-head say?

Across the last 5 meetings: 0 PSNI win(s), 1 draw(s), 4 Moyola Park win(s).

DateScoreCompetition
Mar 25, 2023Moyola Park 5-0 PSNIPremier Intermediate League
Aug 27, 2022PSNI 2-6 Moyola ParkPremier Intermediate League
Apr 26, 2022PSNI 1-1 Moyola ParkPremier Intermediate League
Feb 26, 2022PSNI 1-3 Moyola ParkPremier Intermediate League
Dec 4, 2021Moyola Park 9-2 PSNIPremier Intermediate League

Last archived meeting: Moyola Park vs PSNI on Mar 25, 2023

How many goals should we expect?

PSNI score 1.7 and concede 2.1 goals per match over their last 15; Moyola Park score 1.2 and concede 1.5.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
PSNI1.72.1210/1512/15
Moyola Park1.21.548/158/15

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

Next match: PSNI and Moyola Park

Ready to know everything about football?