Armagh City vs PSNI: result 2-3 and analysis
Premier Intermediate LeagueRegular Season - 19Kick-off on March 4, 2023 at 03:00 PM (UTC)Holm Park, Armagh
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What was the result of Armagh City vs PSNI?
PSNI won 2-3 on March 4, 2023.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Armagh City have 2 wins, 5 draws and 8 defeats; PSNI have 0, 2 and 13.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 28, 2023 | Dollingstown(home) | 1-1 | Premier Intermediate League |
| Feb 11, 2023 | Bangor(home) | 0-3 | Premier Intermediate League |
| Feb 4, 2023 | Queen's University(away) | 1-2 | Premier Intermediate League |
| Jan 28, 2023 | Ballymacash Rangers(away) | 2-2 | Premier Intermediate League |
| Jan 14, 2023 | Limavady United(away) | 1-2 | Premier Intermediate League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 25, 2023 | Queen's University(home) | 0-3 | Premier Intermediate League |
| Feb 18, 2023 | Lisburn Distillery(away) | 1-3 | Premier Intermediate League |
| Feb 11, 2023 | Tobermore United(home) | 2-2 | Premier Intermediate League |
| Feb 4, 2023 | Ballymacash Rangers(away) | 0-5 | Premier Intermediate League |
| Jan 28, 2023 | Portstewart(home) | 1-2 | Premier Intermediate League |
What does the head-to-head say?
Across the last 2 meetings: 2 Armagh City win(s), 0 draw(s), 0 PSNI win(s).
| Date | Score | Competition |
|---|---|---|
| Apr 2, 2022 | PSNI 0-1 Armagh City | Premier Intermediate League |
| Feb 5, 2022 | Armagh City 5-1 PSNI | Premier Intermediate League |
How many goals should we expect?
Armagh City score 1.3 and concede 2.4 goals per match over their last 15; PSNI score 0.7 and concede 3.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Armagh City | 1.3 | 2.4 | 1 | 9/15 | 13/15 |
| PSNI | 0.7 | 3.4 | 1 | 7/15 | 12/15 |
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