Cavalier vs Barbican: result 0-0 and analysis
Premier LeagueRegular Season - 14Kick-off on December 16, 2014 at 01:30 AM (UTC)Stadium East, Kingston
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What was the result of Cavalier vs Barbican?
Cavalier and Barbican drew 0-0 on December 16, 2014.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Cavalier have 6 wins, 4 draws and 5 defeats; Barbican have 3, 4 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 10, 2014 | Sporting Central(away) | 0-1 | Premier League |
| Dec 7, 2014 | Rivoli United(home) | 0-0 | Premier League |
| Nov 30, 2014 | Boys' Town(away) | 3-1 | Premier League |
| Nov 25, 2014 | Waterhouse(home) | 0-2 | Premier League |
| Nov 9, 2014 | Reno(away) | 0-1 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 11, 2014 | Boys' Town(home) | 2-1 | Premier League |
| Dec 9, 2014 | Waterhouse(away) | 1-2 | Premier League |
| Nov 30, 2014 | Reno(away) | 1-0 | Premier League |
| Nov 26, 2014 | Tivoli Gardens(home) | 1-1 | Premier League |
| Nov 9, 2014 | Arnett Gardens(away) | 0-4 | Premier League |
What does the head-to-head say?
In the last meeting: 0 Cavalier wins, 1 draw, 0 Barbican wins.
| Date | Score | Competition |
|---|---|---|
| Sep 21, 2014 | Barbican 0-0 Cavalier | Premier League |
How many goals should we expect?
Cavalier score 0.7 and concede 0.7 goals per match over their last 15; Barbican score 0.8 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Cavalier | 0.7 | 0.7 | 8 | 3/15 | 2/15 |
| Barbican | 0.8 | 1.6 | 3 | 6/13 | 6/13 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Cavalier | 4 | 2 | 1 | 1 | 7 | 7 | 7 |
A question about Cavalier vs Barbican?
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