PSNI vs Queen's University: result 3-1 and analysis
League Cup1st RoundKick-off on August 10, 2019 at 01:00 PM (UTC)Queen's University Malone Playing Fields, Belfast
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What was the result of PSNI vs Queen's University?
PSNI won 3-1 on August 10, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, PSNI have 3 wins, 3 draws and 9 defeats; Queen's University have 12, 1 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 6, 2019 | Queen's University(away) | 1-5 | Championship |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 6, 2019 | PSNI(home) | 5-1 | Championship |
| 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 |
What does the head-to-head say?
In the last meeting: 0 PSNI wins, 0 draws, 1 Queen's University win.
| Date | Score | Competition |
|---|---|---|
| Aug 6, 2019 | Queen's University 5-1 PSNI | Championship |
Last archived meeting: Queen's University vs PSNI on Aug 6, 2019
How many goals should we expect?
PSNI score 1.3 and concede 2.7 goals per match over their last 15; Queen's University score 3.1 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| PSNI | 1.3 | 2.7 | 0 | 10/15 | 13/15 |
| Queen's University | 3.1 | 0.9 | 7 | 7/15 | 12/15 |
Over the last 15 matches in all competitions.
A question about PSNI vs Queen's University?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy