PSNI vs Coagh United: result 0-1 and analysis
Premier Intermediate LeagueRegular Season - 24Kick-off on April 13, 2024 at 02:00 PM (UTC)Queen's University Malone Playing Fields, Belfast
Full time
What was the result of PSNI vs Coagh United?
Coagh United won 0-1 on April 13, 2024.
What is the recent form of both teams?
Over their last 15 matches in all competitions, PSNI have 4 wins, 1 draws and 10 defeats; Coagh United have 7, 4 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 6, 2024 | Banbridge Town(home) | 1-4 | Premier Intermediate League |
| Mar 23, 2024 | Queen's University(away) | 2-1 | Premier Intermediate League |
| Mar 19, 2024 | Queen's University(home) | 1-1 | Premier Intermediate League |
| Mar 16, 2024 | Lisburn Distillery(home) | 3-0 | Premier Intermediate League |
| Mar 9, 2024 | Armagh City(home) | 1-3 | Premier Intermediate League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 6, 2024 | Dollingstown(home) | 1-2 | Premier Intermediate League |
| Mar 23, 2024 | Rathfriland(away) | 3-1 | Premier Intermediate League |
| Mar 16, 2024 | Banbridge Town(home) | 1-1 | Premier Intermediate League |
| Mar 9, 2024 | Limavady United(home) | 1-1 | Premier Intermediate League |
| Mar 2, 2024 | Tobermore United(away) | 2-1 | Premier Intermediate League |
What does the head-to-head say?
Across the last 1 meetings: 0 PSNI win(s), 0 draw(s), 1 Coagh United win(s).
| Date | Score | Competition |
|---|---|---|
| Dec 16, 2023 | Coagh United 2-0 PSNI | Premier Intermediate League |
How many goals should we expect?
PSNI score 1.3 and concede 2.3 goals per match over their last 15; Coagh United score 1.7 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| PSNI | 1.3 | 2.3 | 1 | 10/15 | 12/15 |
| Coagh United | 1.7 | 1.1 | 3 | 11/15 | 8/15 |
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