Red Arrows vs Nchanga Rangers: result 2-0 and analysis
Super LeagueRegular Season - 14Kick-off on June 16, 2012 at 01:00 PM (UTC)Nkoloma Stadium, Lusaka
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What was the result of Red Arrows vs Nchanga Rangers?
Red Arrows won 2-0 on June 16, 2012.
What is the recent form of both teams?
Over their last 13 matches in all competitions, Red Arrows have 5 wins, 6 draws and 2 defeats; Nchanga Rangers have 6, 3 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 10, 2012 | National Assembly(away) | 1-2 | Super League |
| Jun 2, 2012 | ZESCO United(home) | 0-0 | Super League |
| May 30, 2012 | Konkola Mine Police(away) | 0-0 | Super League |
| May 23, 2012 | NAPSA Stars(away) | 3-0 | Super League |
| May 19, 2012 | Green Eagles(home) | 0-0 | Super League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 10, 2012 | NAPSA Stars(home) | 0-1 | Super League |
| Jun 2, 2012 | Konkola Blades(home) | 1-0 | Super League |
| May 26, 2012 | Nkana(home) | 1-1 | Super League |
| May 23, 2012 | Roan United(away) | 2-1 | Super League |
| May 19, 2012 | ZESCO United(away) | 0-2 | Super League |
How many goals should we expect?
Red Arrows score 1.2 and concede 0.5 goals per match over their last 13; Nchanga Rangers score 1.1 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Red Arrows | 1.2 | 0.5 | 7 | 5/13 | 4/13 |
| Nchanga Rangers | 1.1 | 0.9 | 4 | 6/13 | 4/13 |
Over the last 13 matches in all competitions.
Where do both teams sit in the table?
Red Arrows sit 2nd in Super League (63 points from 34 matches) and Nchanga Rangers sit 5th (50 points from 34 matches).
The current season has no played match yet: final standings of the 2025-26 season.
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Red Arrows | 34 | 17 | 12 | 5 | 44 | 22 | 63 |
| 5 | Nchanga Rangers | 34 | 14 | 8 | 12 | 31 | 26 | 50 |
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