Forest Rangers vs Nkwazi: result 1-2 and analysis
Super LeagueMatchday 6Kick-off on April 28, 2013 at 01:00 PM (UTC)Dag Hammerskjold Stadium, Ndola
Full time
What was the result of Forest Rangers vs Nkwazi?
Nkwazi won 1-2 on April 28, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Forest Rangers have 4 wins, 5 draws and 6 defeats; Nkwazi have 1, 1 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 21, 2013 | Kabwe Warriors(away) | 1-2 | Super League |
| Apr 18, 2013 | Zanaco(away) | 1-3 | Super League |
| Apr 13, 2013 | Nchanga Rangers(home) | 1-2 | Super League |
| Mar 23, 2013 | Nkana(home) | 2-3 | Super League |
| Mar 16, 2013 | Lime Hotspurs(away) | 1-0 | Super League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 20, 2013 | Roan United(home) | 0-2 | Super League |
| Apr 13, 2013 | Red Arrows(away) | 0-1 | Super League |
| Apr 6, 2013 | Power Dynamos(home) | 2-2 | Super League |
| Mar 23, 2013 | ZESCO United(away) | 2-0 | Super League |
| Mar 17, 2013 | Konkola Blades(home) | 2-3 | Super League |
How many goals should we expect?
Forest Rangers score 1.3 and concede 1.3 goals per match over their last 15; Nkwazi score 1.2 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Forest Rangers | 1.3 | 1.3 | 6 | 9/15 | 8/15 |
| Nkwazi | 1.2 | 1.6 | 1 | 2/5 | 2/5 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
The current season has no played match yet: final standings of the 2025-26 season.
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 14 | Nkwazi | 34 | 8 | 13 | 13 | 21 | 28 | 37 |
A question about Forest Rangers vs Nkwazi?
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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