Match

PSNI vs Banbridge Town: result 3-2 and analysis

Premier Intermediate LeagueRegular Season - 20Kick-off on April 4, 2023 at 04:45 PM (UTC)Queen's University Malone Playing Fields, Belfast

PSNI
3-2
Banbridge Town

Full time

What was the result of PSNI vs Banbridge Town?

PSNI won 3-2 on April 4, 2023.

What is the recent form of both teams?

Over their last 15 matches in all competitions, PSNI have 2 wins, 1 draws and 12 defeats; Banbridge Town have 6, 0 and 9.

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

PSNI
DateOpponentScoreCompetition
Apr 1, 2023Lisburn Distillery(home)2-5Premier Intermediate League
Mar 25, 2023Moyola Park(away)0-5Premier Intermediate League
Mar 21, 2023Dollingstown(home)4-1Premier Intermediate League
Mar 4, 2023Armagh City(away)3-2Premier Intermediate League
Feb 25, 2023Queen's University(home)0-3Premier Intermediate League
Banbridge Town
DateOpponentScoreCompetition
Apr 1, 2023Tobermore United(away)2-1Premier Intermediate League
Mar 28, 2023Tobermore United(home)2-3Premier Intermediate League
Mar 25, 2023Armagh City(home)1-2Premier Intermediate League
Mar 21, 2023Portstewart(home)3-1Premier Intermediate League
Mar 4, 2023Bangor(home)0-2Premier Intermediate League

What does the head-to-head say?

Across the last 4 meetings: 2 PSNI win(s), 1 draw(s), 1 Banbridge Town win(s).

DateScoreCompetition
Sep 3, 2022Banbridge Town 0-0 PSNIPremier Intermediate League
Feb 12, 2022Banbridge Town 2-0 PSNIPremier Intermediate League
Sep 18, 2021PSNI 2-1 Banbridge TownPremier Intermediate League
Aug 4, 2018PSNI 1-0 Banbridge TownLeague Cup

Last archived meeting: Banbridge Town vs PSNI on Sep 3, 2022

How many goals should we expect?

PSNI score 1.0 and concede 3.3 goals per match over their last 15; Banbridge Town score 1.6 and concede 1.9.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
PSNI1.03.308/1513/15
Banbridge Town1.61.929/1511/15

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

Other matches in the same round

Ready to know everything about football?