PSNI vs Moyola Park: result 2-6 and analysis
Premier Intermediate LeagueRegular Season - 2Kick-off on August 27, 2022 at 02:00 PM (UTC)Queen's University Malone Playing Fields, Belfast
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What was the result of PSNI vs Moyola Park?
Moyola Park won 2-6 on August 27, 2022.
What is the recent form of both teams?
Over their last 15 matches in all competitions, PSNI have 2 wins, 1 draws and 12 defeats; Moyola Park have 3, 5 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 6, 2022 | Lisburn Distillery(away) | 1-2 | League Cup |
| Apr 30, 2022 | Portstewart(away) | 0-7 | Premier Intermediate League |
| Apr 26, 2022 | Moyola Park(home) | 1-1 | Premier Intermediate League |
| Apr 23, 2022 | Tobermore United(away) | 5-1 | Premier Intermediate League |
| Apr 19, 2022 | Lisburn Distillery(home) | 2-6 | Premier Intermediate League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 20, 2022 | Limavady United(home) | 2-2 | Premier Intermediate League |
| Aug 9, 2022 | Portstewart(home) | 4-1 | League Cup |
| Jul 23, 2022 | Dungannon Swifts(home) | 0-2 | Friendlies Clubs |
| Jul 5, 2022 | Dundela(away) | 1-4 | Friendlies Clubs |
| May 3, 2022 | Portstewart(home) | 3-2 | Premier Intermediate League |
What does the head-to-head say?
Across the last 3 meetings: 0 PSNI win(s), 1 draw(s), 2 Moyola Park win(s).
| Date | Score | Competition |
|---|---|---|
| Apr 26, 2022 | PSNI 1-1 Moyola Park | Premier Intermediate League |
| 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 0.9 and concede 3.2 goals per match over their last 15; Moyola Park score 1.6 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| PSNI | 0.9 | 3.2 | 0 | 8/15 | 12/15 |
| Moyola Park | 1.6 | 2.1 | 0 | 13/15 | 11/15 |
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