Match

PSNI vs Dollingstown: result 1-4 and analysis

Premier Intermediate LeagueRegular Season - 1Kick-off on August 26, 2023 at 02:00 PM (UTC)Queen's University Malone Playing Fields, Belfast

PSNI
1-4
Dollingstown

Full time

What was the result of PSNI vs Dollingstown?

Dollingstown won 1-4 on August 26, 2023.

What is the recent form of both teams?

Over their last 15 matches in all competitions, PSNI have 6 wins, 3 draws and 6 defeats; Dollingstown have 0, 2 and 13.

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

PSNI
DateOpponentScoreCompetition
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
Apr 15, 2023Portstewart(home)0-1Premier Intermediate League
Dollingstown
DateOpponentScoreCompetition
Aug 2, 2023Glenavon FC(home)1-3Friendlies Clubs
May 2, 2023Portstewart(away)1-5Premier Intermediate League
Apr 29, 2023Lisburn Distillery(away)1-3Premier Intermediate League
Apr 25, 2023PSNI(home)0-3Premier Intermediate League
Apr 22, 2023Armagh City(away)0-2Premier Intermediate League

What does the head-to-head say?

Across the last 5 meetings: 2 PSNI win(s), 0 draw(s), 3 Dollingstown win(s).

DateScoreCompetition
Apr 25, 2023Dollingstown 0-3 PSNIPremier Intermediate League
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: Dollingstown vs PSNI on Apr 25, 2023

How many goals should we expect?

PSNI score 1.8 and concede 2.0 goals per match over their last 15; Dollingstown score 0.7 and concede 2.5.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
PSNI1.82.0210/1512/15
Dollingstown0.72.509/158/15

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

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