Moyola Park vs Bangor: result 1-2 and analysis
Premier Intermediate LeagueRegular Season - 18Kick-off on March 5, 2022 at 03:00 PM (UTC)Mill Meadow, Caisleán Dhásain
Full time
What was the result of Moyola Park vs Bangor?
Bangor won 1-2 on March 5, 2022.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Moyola Park have 6 wins, 3 draws and 6 defeats; Bangor have 9, 0 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 26, 2022 | PSNI(away) | 3-1 | Premier Intermediate League |
| Feb 12, 2022 | Lisburn Distillery(home) | 1-4 | Premier Intermediate League |
| Feb 5, 2022 | Limavady United(away) | 1-3 | Premier Intermediate League |
| Jan 29, 2022 | Banbridge Town(home) | 1-0 | Premier Intermediate League |
| Jan 15, 2022 | Dollingstown(away) | 2-1 | Premier Intermediate League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 26, 2022 | Dollingstown(home) | 0-1 | Premier Intermediate League |
| Feb 12, 2022 | Armagh City(away) | 3-0 | Premier Intermediate League |
| Feb 5, 2022 | Newington Youth(away) | 3-2 | Premier Intermediate League |
| Jan 29, 2022 | Lisburn Distillery(home) | 0-1 | Premier Intermediate League |
| Jan 15, 2022 | Tobermore United(away) | 1-0 | Premier Intermediate League |
What does the head-to-head say?
Across the last 2 meetings: 0 Moyola Park win(s), 0 draw(s), 2 Bangor win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 9, 2021 | Bangor 5-0 Moyola Park | Premier Intermediate League |
| Nov 16, 2019 | Bangor 6-2 Moyola Park | Premier Intermediate League |
How many goals should we expect?
Moyola Park score 1.6 and concede 2.1 goals per match over their last 15; Bangor score 1.7 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Moyola Park | 1.6 | 2.1 | 4 | 8/15 | 10/15 |
| Bangor | 1.7 | 1.4 | 5 | 5/15 | 9/15 |
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