Barranquilla vs Cucuta: result 2-1 and analysis
Primera BRegular Season - 14Kick-off on May 14, 2016 at 08:00 PM (UTC)Estadio Metropolitano Roberto Meléndez, Barranquilla
Full time
What was the result of Barranquilla vs Cucuta?
Barranquilla won 2-1 on May 14, 2016.
Goalscorers
- 45′C. PalaciosBarranquilla (pen.)
- 45′J. CastroCucuta (pen.)
- 86′L. DíazBarranquilla
What is the recent form of both teams?
Over their last 13 matches in all competitions, Barranquilla have 3 wins, 4 draws and 6 defeats; Cucuta have 5, 3 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 8, 2016 | Valledupar(away) | 1-2 | Primera B |
| May 3, 2016 | America de Cali(home) | 0-0 | Primera B |
| Apr 25, 2016 | Deportivo Pereira(home) | 1-2 | Primera B |
| Apr 17, 2016 | Bogota FC(away) | 0-0 | Primera B |
| Apr 10, 2016 | Leones FC(home) | 2-1 | Primera B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 9, 2016 | Deportivo Pereira(home) | 2-1 | Primera B |
| May 1, 2016 | Bogota FC(away) | 2-1 | Primera B |
| Apr 24, 2016 | Leones FC(home) | 2-1 | Primera B |
| Apr 16, 2016 | Orsomarso(away) | 1-3 | Primera B |
| Apr 10, 2016 | Depor FC(home) | 2-1 | Primera B |
How many goals should we expect?
Barranquilla score 0.8 and concede 1.2 goals per match over their last 13; Cucuta score 1.2 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Barranquilla | 0.8 | 1.2 | 3 | 7/13 | 6/13 |
| Cucuta | 1.2 | 1.2 | 2 | 9/13 | 7/13 |
Over the last 13 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Barranquilla | 33 | 10 | 8 | 15 | 41 | 44 | 38 |
A question about Barranquilla vs Cucuta?
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