PSNI vs Moyola Park: result 1-1 and analysis
Premier Intermediate LeagueLower Table Round - 3Kick-off on April 26, 2022 at 06:00 PM (UTC)Queen's University Malone Playing Fields, Belfast
Full time
What was the result of PSNI vs Moyola Park?
PSNI and Moyola Park drew 1-1 on April 26, 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; Moyola Park 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 |
|---|---|---|---|
| Apr 23, 2022 | Tobermore United(away) | 5-1 | Premier Intermediate League |
| Apr 19, 2022 | Lisburn Distillery(home) | 2-6 | Premier Intermediate League |
| Apr 16, 2022 | Portstewart(home) | 0-3 | Premier Intermediate League |
| Apr 9, 2022 | Limavady United(away) | 0-4 | Premier Intermediate League |
| Apr 2, 2022 | Armagh City(home) | 0-1 | Premier Intermediate League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 23, 2022 | Lisburn Distillery(away) | 1-2 | Premier Intermediate League |
| Apr 16, 2022 | Armagh City(home) | 2-2 | Premier Intermediate League |
| Apr 9, 2022 | Newington Youth(away) | 2-5 | Premier Intermediate League |
| Mar 26, 2022 | Tobermore United(home) | 1-1 | Premier Intermediate League |
| Mar 19, 2022 | Portstewart(away) | 0-1 | Premier Intermediate League |
What does the head-to-head say?
Across the last 2 meetings: 0 PSNI win(s), 0 draw(s), 2 Moyola Park win(s).
| Date | Score | Competition |
|---|---|---|
| Feb 26, 2022 | PSNI 1-3 Moyola Park | Premier Intermediate League |
| Dec 4, 2021 | Moyola Park 9-2 PSNI | Premier Intermediate League |
How many goals should we expect?
PSNI score 1.1 and concede 3.0 goals per match over their last 15; Moyola Park score 1.9 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| PSNI | 1.1 | 3.0 | 0 | 9/15 | 13/15 |
| Moyola Park | 1.9 | 1.7 | 3 | 11/15 | 10/15 |
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