PSNI vs Bangor: result 0-3 and analysis
Premier Intermediate LeagueRegular Season - 12Kick-off on March 12, 2022 at 03:00 PM (UTC)Queen's University Malone Playing Fields, Belfast
Full time
What was the result of PSNI vs Bangor?
Bangor won 0-3 on March 12, 2022.
What is the recent form of both teams?
Over their last 15 matches in all competitions, PSNI have 3 wins, 0 draws and 12 defeats; Bangor have 9, 0 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 5, 2022 | Tobermore United(away) | 2-1 | Premier Intermediate League |
| Feb 26, 2022 | Moyola Park(home) | 1-3 | Premier Intermediate League |
| Feb 12, 2022 | Banbridge Town(away) | 0-2 | Premier Intermediate League |
| Feb 5, 2022 | Armagh City(away) | 1-5 | Premier Intermediate League |
| Jan 29, 2022 | Newington Youth(away) | 0-7 | Premier Intermediate League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 5, 2022 | Moyola Park(away) | 2-1 | Premier Intermediate League |
| Feb 26, 2022 | Dollingstown(home) | 0-1 | Premier Intermediate League |
| Feb 12, 2022 | Armagh City(away) | 3-0 | Premier Intermediate League |
| Feb 5, 2022 | Newington Youth(away) | 3-2 | Premier Intermediate League |
| Jan 29, 2022 | Lisburn Distillery(home) | 0-1 | Premier Intermediate League |
What does the head-to-head say?
In the last meeting: 0 PSNI wins, 0 draws, 1 Bangor win.
| Date | Score | Competition |
|---|---|---|
| Sep 4, 2021 | Bangor 2-1 PSNI | Premier Intermediate League |
How many goals should we expect?
PSNI score 1.2 and concede 3.2 goals per match over their last 15; Bangor score 1.6 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| PSNI | 1.2 | 3.2 | 0 | 11/15 | 13/15 |
| Bangor | 1.6 | 1.4 | 5 | 5/15 | 9/15 |
Over the last 15 matches in all competitions.
A question about PSNI vs Bangor?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy