PSNI vs Bangor: result 1-2 and analysis
Premier Intermediate LeagueRegular Season - 14Kick-off on April 8, 2023 at 02:00 PM (UTC)Queen's University Malone Playing Fields, Belfast
Full time
What was the result of PSNI vs Bangor?
Bangor won 1-2 on April 8, 2023.
What is the recent form of both teams?
Over their last 15 matches in all competitions, PSNI have 3 wins, 1 draws and 11 defeats; Bangor have 12, 1 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 4, 2023 | Banbridge Town(home) | 3-2 | Premier Intermediate League |
| Apr 1, 2023 | Lisburn Distillery(home) | 2-5 | Premier Intermediate League |
| Mar 25, 2023 | Moyola Park(away) | 0-5 | Premier Intermediate League |
| Mar 21, 2023 | Dollingstown(home) | 4-1 | Premier Intermediate League |
| Mar 4, 2023 | Armagh City(away) | 3-2 | Premier Intermediate League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 1, 2023 | Queen's University(home) | 1-1 | Premier Intermediate League |
| Mar 25, 2023 | Tobermore United(home) | 3-0 | Premier Intermediate League |
| Mar 18, 2023 | Dollingstown(away) | 4-1 | Premier Intermediate League |
| Mar 4, 2023 | Banbridge Town(away) | 2-0 | Premier Intermediate League |
| Feb 28, 2023 | Limavady United(home) | 1-0 | Premier Intermediate League |
What does the head-to-head say?
Across the last 3 meetings: 0 PSNI win(s), 0 draw(s), 3 Bangor win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 25, 2022 | Bangor 2-0 PSNI | Premier Intermediate League |
| Mar 12, 2022 | PSNI 0-3 Bangor | Premier Intermediate League |
| Sep 4, 2021 | Bangor 2-1 PSNI | Premier Intermediate League |
How many goals should we expect?
PSNI score 1.1 and concede 3.3 goals per match over their last 15; Bangor score 2.5 and concede 0.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| PSNI | 1.1 | 3.3 | 0 | 8/15 | 13/15 |
| Bangor | 2.5 | 0.5 | 10 | 4/15 | 9/15 |
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