Queen's University vs PSNI: result 5-1 and analysis
ChampionshipRegular Season - 2Kick-off on August 6, 2019 at 06:00 PM (UTC)Queen's University Malone Playing Fields, Belfast
Full time
What was the result of Queen's University vs PSNI?
Queen's University won 5-1 on August 6, 2019.
Goalscorers
- 32′?Queen's University
- 44′R. YoungQueen's University
- 50′C. MiddletonQueen's University
- 60′?Queen's University
- 76′?PSNI
- 90′M. HughesQueen's University
What is the recent form of both teams?
Over their last 15 matches in all competitions, Queen's University have 12 wins, 1 draws and 2 defeats; PSNI have 3, 4 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 3, 2019 | Ballyclare Comrades(away) | 2-3 | Championship |
| Apr 27, 2019 | Lurgan Celtic(home) | 5-0 | Premier Intermediate League |
| Apr 23, 2019 | Tobermore United(home) | 2-1 | Premier Intermediate League |
| Apr 20, 2019 | Tobermore United(away) | 5-0 | Premier Intermediate League |
| Apr 17, 2019 | Newington Youth(away) | 2-1 | Premier Intermediate League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 3, 2019 | Ards(home) | 0-4 | Championship |
| Apr 27, 2019 | Ballyclare Comrades(away) | 3-1 | Championship |
| Apr 20, 2019 | Dergview(home) | 0-3 | Championship |
| Apr 13, 2019 | Limavady United(home) | 0-4 | Championship |
| Apr 6, 2019 | Loughgall(away) | 2-1 | Championship |
How many goals should we expect?
Queen's University score 2.9 and concede 0.8 goals per match over their last 15; PSNI score 1.3 and concede 2.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Queen's University | 2.9 | 0.8 | 8 | 6/15 | 11/15 |
| PSNI | 1.3 | 2.5 | 0 | 10/15 | 13/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Queen's University | 38 | 15 | 12 | 11 | 51 | 46 | 57 |
| 6 | Queen's University | 4 | 2 | 1 | 1 | 8 | 5 | 7 |
| 6 | Queen's University | 33 | 12 | 11 | 10 | 43 | 42 | 47 |
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