Match

Dollingstown vs PSNI: result 0-3 and analysis

Premier Intermediate LeagueRelegation Round - 3Kick-off on April 25, 2023 at 06:45 PM (UTC)Planters Park, Lurgan

Dollingstown
0-3
PSNI

Full time

What was the result of Dollingstown vs PSNI?

PSNI won 0-3 on April 25, 2023.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Dollingstown have 1 wins, 3 draws and 11 defeats; PSNI have 3, 3 and 9.

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

Dollingstown
DateOpponentScoreCompetition
Apr 22, 2023Armagh City(away)0-2Premier Intermediate League
Apr 15, 2023Banbridge Town(home)0-1Premier Intermediate League
Apr 8, 2023Tobermore United(away)1-2Premier Intermediate League
Apr 4, 2023Ballymacash Rangers(home)1-1Premier Intermediate League
Mar 25, 2023Queen's University(away)0-1Premier Intermediate League
PSNI
DateOpponentScoreCompetition
Apr 22, 2023Banbridge Town(away)1-1Premier Intermediate League
Apr 15, 2023Portstewart(home)0-1Premier Intermediate League
Apr 11, 2023Armagh City(home)2-2Premier Intermediate League
Apr 8, 2023Bangor(home)1-2Premier Intermediate League
Apr 4, 2023Banbridge Town(home)3-2Premier Intermediate League

What does the head-to-head say?

Across the last 4 meetings: 3 Dollingstown win(s), 0 draw(s), 1 PSNI win(s).

DateScoreCompetition
Mar 21, 2023PSNI 4-1 DollingstownPremier Intermediate League
Sep 24, 2022Dollingstown 6-0 PSNIPremier Intermediate League
Mar 19, 2022PSNI 1-2 DollingstownPremier Intermediate League
Oct 9, 2021Dollingstown 2-0 PSNIPremier Intermediate League

Last archived meeting: PSNI vs Dollingstown on Mar 21, 2023

How many goals should we expect?

Dollingstown score 0.7 and concede 1.9 goals per match over their last 15; PSNI score 1.3 and concede 2.9.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Dollingstown0.71.928/156/15
PSNI1.32.9010/1513/15

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

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