PSNI vs Ballyclare Comrades: result 1-4 and analysis
ChampionshipRegular Season - 1Kick-off on August 11, 2018 at 02:00 PM (UTC)Queen's University Malone Playing Fields, Belfast
Full time
What was the result of PSNI vs Ballyclare Comrades?
Ballyclare Comrades won 1-4 on August 11, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, PSNI have 6 wins, 4 draws and 5 defeats; Ballyclare Comrades have 4, 0 and 11.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 4, 2018 | Banbridge Town(home) | 1-0 | League Cup |
| Apr 28, 2018 | Dergview(away) | 1-2 | Championship |
| Apr 21, 2018 | Knockbreda(home) | 1-0 | Championship |
| Apr 14, 2018 | Knockbreda(away) | 2-2 | Championship |
| Apr 7, 2018 | Larne(home) | 2-2 | Championship |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 28, 2018 | Loughgall(away) | 5-3 | Championship |
| Apr 21, 2018 | H&W Welders(home) | 0-2 | Championship |
| Apr 14, 2018 | H&W Welders(away) | 1-2 | Championship |
| Apr 7, 2018 | Institute(home) | 2-4 | Championship |
| Mar 31, 2018 | Portadown(away) | 0-2 | Championship |
What does the head-to-head say?
Across the last 2 meetings: 1 PSNI win(s), 0 draw(s), 1 Ballyclare Comrades win(s).
| Date | Score | Competition |
|---|---|---|
| Nov 11, 2017 | PSNI 0-5 Ballyclare Comrades | Championship |
| Sep 16, 2017 | Ballyclare Comrades 0-3 PSNI | Championship |
Last archived meeting: PSNI vs Ballyclare Comrades on Nov 11, 2017
How many goals should we expect?
PSNI score 2.2 and concede 1.3 goals per match over their last 15; Ballyclare Comrades score 1.1 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| PSNI | 2.2 | 1.3 | 4 | 10/15 | 10/15 |
| Ballyclare Comrades | 1.1 | 1.9 | 2 | 7/15 | 8/15 |
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