Queen's University vs Moyola Park: result 4-0 and analysis
Premier Intermediate LeagueRegular Season - 14Kick-off on March 24, 2018 at 03:00 PM (UTC)Queen's University Malone Playing Fields, Belfast
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What was the result of Queen's University vs Moyola Park?
Queen's University won 4-0 on March 24, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Queen's University have 10 wins, 0 draws and 5 defeats; Moyola Park have 8, 4 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 17, 2018 | Sport & Leisure Swifts(home) | 1-2 | Premier Intermediate League |
| Feb 24, 2018 | Newington Youth(home) | 4-3 | Premier Intermediate League |
| Feb 17, 2018 | Donegal Celtic(home) | 2-1 | Premier Intermediate League |
| Feb 3, 2018 | Annagh United(away) | 1-0 | Premier Intermediate League |
| Jan 13, 2018 | Dundela(home) | 2-4 | Premier Intermediate League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 20, 2018 | Dundela(home) | 1-1 | Premier Intermediate League |
| Mar 17, 2018 | Annagh United(away) | 2-1 | Premier Intermediate League |
| Mar 6, 2018 | Newington Youth(home) | 5-2 | Premier Intermediate League |
| Feb 24, 2018 | Armagh City(away) | 1-0 | Premier Intermediate League |
| Feb 20, 2018 | Tobermore United(home) | 0-0 | Premier Intermediate League |
What does the head-to-head say?
Across the last 1 meetings: 1 Queen's University win(s), 0 draw(s), 0 Moyola Park win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 2, 2017 | Moyola Park 1-2 Queen's University | Premier Intermediate League |
Last archived meeting: Moyola Park vs Queen's University on Sep 2, 2017
How many goals should we expect?
Queen's University score 2.4 and concede 1.6 goals per match over their last 15; Moyola Park score 2.3 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Queen's University | 2.4 | 1.6 | 4 | 10/15 | 12/15 |
| Moyola Park | 2.3 | 1.3 | 5 | 10/15 | 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