Montego Bay United vs Reno: result 2-3 and analysis
Premier LeagueRegular Season - 10Kick-off on November 6, 2011 at 10:00 PM (UTC)Catherine Hall Sports Complex, Montego Bay
Full time
What was the result of Montego Bay United vs Reno?
Reno won 2-3 on November 6, 2011.
Goalscorers
- 7′M. GordonMontego Bay United
- 23′Leon IrvingMontego Bay United
- 45′A. RichardReno
- 56′D. RankineReno
- 68′A. RichardReno
What is the recent form of both teams?
Over their last 9 matches in all competitions, Montego Bay United have 2 wins, 1 draw and 6 defeats; Reno have 2, 5 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 2, 2011 | Highgate United(away) | 0-1 | Premier League |
| Oct 30, 2011 | Humble Lions(home) | 0-0 | Premier League |
| Oct 23, 2011 | Sporting Central(away) | 0-1 | Premier League |
| Oct 19, 2011 | Village United(home) | 1-0 | Premier League |
| Oct 17, 2011 | Portmore United(away) | 1-2 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 2, 2011 | Arnett Gardens(home) | 1-1 | Premier League |
| Oct 30, 2011 | Highgate United(home) | 1-1 | Premier League |
| Oct 23, 2011 | Humble Lions(away) | 0-0 | Premier League |
| Oct 19, 2011 | Sporting Central(home) | 0-0 | Premier League |
| Oct 16, 2011 | Village United(away) | 1-0 | Premier League |
How many goals should we expect?
Montego Bay United score 0.7 and concede 1.0 goals per match over their last 9; Reno score 0.7 and concede 0.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Montego Bay United | 0.7 | 1.0 | 3 | 2/9 | 3/9 |
| Reno | 0.7 | 0.6 | 5 | 2/9 | 1/9 |
Over the last 9 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Montego Bay United | 8 | 4 | 3 | 1 | 12 | 7 | 15 |
A question about Montego Bay United vs Reno?
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