Forest Rangers vs National Assembly: result 2-0 and analysis
Super LeagueRegular Season - 19Kick-off on August 4, 2012 at 01:00 PM (UTC)Dag Hammerskjold Stadium, Ndola
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What was the result of Forest Rangers vs National Assembly?
Forest Rangers won 2-0 on August 4, 2012.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Forest Rangers have 4 wins, 6 draws and 5 defeats; National Assembly have 3, 5 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 28, 2012 | Green Eagles(away) | 0-1 | Super League |
| Jul 21, 2012 | Zanaco(home) | 0-0 | Super League |
| Jul 14, 2012 | Red Arrows(home) | 0-0 | Super League |
| Jun 23, 2012 | NAPSA Stars(home) | 2-1 | Super League |
| Jun 16, 2012 | ZESCO United(away) | 1-1 | Super League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 28, 2012 | Power Dynamos(home) | 0-2 | Super League |
| Jul 22, 2012 | Konkola Blades(home) | 1-1 | Super League |
| Jul 14, 2012 | Nchanga Rangers(away) | 1-3 | Super League |
| Jun 23, 2012 | Konkola Mine Police(away) | 2-1 | Super League |
| Jun 16, 2012 | Green Eagles(away) | 0-0 | Super League |
What does the head-to-head say?
Across the last 1 meetings: 1 Forest Rangers win(s), 0 draw(s), 0 National Assembly win(s).
| Date | Score | Competition |
|---|---|---|
| Apr 9, 2012 | National Assembly 1-2 Forest Rangers | Super League |
Last archived meeting: National Assembly vs Forest Rangers on Apr 9, 2012
How many goals should we expect?
Forest Rangers score 0.8 and concede 0.9 goals per match over their last 15; National Assembly score 0.7 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Forest Rangers | 0.8 | 0.9 | 4 | 7/15 | 3/15 |
| National Assembly | 0.7 | 1.2 | 3 | 8/15 | 5/15 |
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