Roan United vs Forest Rangers: result 2-1 and analysis
Super LeagueRegular Season - 9Kick-off on May 19, 2012 at 01:00 PM (UTC)Kafubu Stadium, Luanshya
Full time
What was the result of Roan United vs Forest Rangers?
Roan United won 2-1 on May 19, 2012.
What is the recent form of both teams?
Over their last 8 matches in all competitions, Roan United have 0 wins, 6 draws and 2 defeats; Forest Rangers have 2, 2 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 12, 2012 | Green Eagles(home) | 0-0 | Super League |
| May 5, 2012 | Red Arrows(away) | 1-1 | Super League |
| Apr 28, 2012 | NAPSA Stars(home) | 2-2 | Super League |
| Apr 21, 2012 | ZESCO United(away) | 1-1 | Super League |
| Apr 14, 2012 | Nkana(home) | 0-3 | Super League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 12, 2012 | Zanaco(away) | 1-1 | Super League |
| May 5, 2012 | Indeni(home) | 1-0 | Super League |
| Apr 28, 2012 | Konkola Mine Police(home) | 0-2 | Super League |
| Apr 21, 2012 | Power Dynamos(away) | 1-1 | Super League |
| Apr 14, 2012 | Nchanga Rangers(home) | 0-2 | Super League |
How many goals should we expect?
Roan United score 0.9 and concede 1.4 goals per match over their last 8; Forest Rangers score 0.6 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Roan United | 0.9 | 1.4 | 1 | 6/8 | 3/8 |
| Forest Rangers | 0.6 | 1.3 | 1 | 3/8 | 1/8 |
Over the last 8 matches in all competitions.
A question about Roan United vs Forest Rangers?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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