PSNI vs Banbridge Town: result 2-1 and analysis
Premier Intermediate LeagueRegular Season - 5Kick-off on September 18, 2021 at 02:00 PM (UTC)Queen's University Malone Playing Fields, Belfast
Full time
What was the result of PSNI vs Banbridge Town?
PSNI won 2-1 on September 18, 2021.
What is the recent form of both teams?
Over their last 15 matches in all competitions, PSNI have 2 wins, 0 draws and 13 defeats; Banbridge Town have 5, 4 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 14, 2021 | Institute(away) | 3-4 | League Cup |
| Sep 4, 2021 | Bangor(away) | 1-2 | Premier Intermediate League |
| Aug 17, 2021 | Newington Youth(home) | 1-3 | Premier Intermediate League |
| May 8, 2021 | Ballymena United(away) | 0-5 | Irish Cup |
| Mar 10, 2020 | Dundela(home) | 2-4 | Championship |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 14, 2021 | Glentoran(away) | 0-5 | League Cup |
| Sep 4, 2021 | Moyola Park(home) | 1-1 | Premier Intermediate League |
| Aug 28, 2021 | Armagh City(away) | 2-1 | Premier Intermediate League |
| Aug 21, 2021 | Limavady United(home) | 2-0 | Premier Intermediate League |
| Aug 17, 2021 | Portstewart(away) | 0-1 | Premier Intermediate League |
What does the head-to-head say?
In the last meeting: 1 PSNI win, 0 draws, 0 Banbridge Town wins.
| Date | Score | Competition |
|---|---|---|
| Aug 4, 2018 | PSNI 1-0 Banbridge Town | League Cup |
Last archived meeting: PSNI vs Banbridge Town on Aug 4, 2018
How many goals should we expect?
PSNI score 1.3 and concede 3.2 goals per match over their last 15; Banbridge Town score 1.4 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| PSNI | 1.3 | 3.2 | 1 | 8/15 | 12/15 |
| Banbridge Town | 1.4 | 1.9 | 2 | 9/15 | 9/15 |
Over the last 15 matches in all competitions.
A question about PSNI vs Banbridge Town?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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