Armagh City vs PSNI: result 0-2 and analysis
Premier Intermediate LeagueRelegation Round - 4Kick-off on April 29, 2023 at 02:00 PM (UTC)Holm Park, Armagh
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What was the result of Armagh City vs PSNI?
PSNI won 0-2 on April 29, 2023.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Armagh City have 4 wins, 6 draws and 5 defeats; PSNI have 4, 3 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 25, 2023 | Portstewart(home) | 1-1 | Premier Intermediate League |
| Apr 22, 2023 | Dollingstown(home) | 2-0 | Premier Intermediate League |
| Apr 15, 2023 | Lisburn Distillery(away) | 4-1 | Premier Intermediate League |
| Apr 11, 2023 | PSNI(away) | 2-2 | Premier Intermediate League |
| Apr 1, 2023 | Portstewart(home) | 2-1 | Premier Intermediate League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 25, 2023 | Dollingstown(away) | 3-0 | Premier Intermediate League |
| Apr 22, 2023 | Banbridge Town(away) | 1-1 | Premier Intermediate League |
| Apr 15, 2023 | Portstewart(home) | 0-1 | Premier Intermediate League |
| Apr 11, 2023 | Armagh City(home) | 2-2 | Premier Intermediate League |
| Apr 8, 2023 | Bangor(home) | 1-2 | Premier Intermediate League |
What does the head-to-head say?
Across the last 4 meetings: 2 Armagh City win(s), 1 draw(s), 1 PSNI win(s).
| Date | Score | Competition |
|---|---|---|
| Apr 11, 2023 | PSNI 2-2 Armagh City | Premier Intermediate League |
| Mar 4, 2023 | Armagh City 2-3 PSNI | Premier Intermediate League |
| 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 1.7 and concede 1.7 goals per match over their last 15; PSNI score 1.5 and concede 2.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Armagh City | 1.7 | 1.7 | 1 | 13/15 | 12/15 |
| PSNI | 1.5 | 2.4 | 1 | 10/15 | 13/15 |
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