Nkana vs Forest Rangers: result 1-1 and analysis
Super LeagueRegular Season - 27Kick-off on October 13, 2012 at 02:00 PM (UTC)Arthur Davies Stadium, Kitwe
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What was the result of Nkana vs Forest Rangers?
Nkana and Forest Rangers drew 1-1 on October 13, 2012.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Nkana have 5 wins, 7 draws and 3 defeats; Forest Rangers have 5, 6 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 6, 2012 | Nchanga Rangers(home) | 1-1 | Super League |
| Sep 29, 2012 | National Assembly(away) | 1-0 | Super League |
| Sep 16, 2012 | Green Eagles(home) | 2-1 | Super League |
| Sep 1, 2012 | NAPSA Stars(home) | 3-1 | Super League |
| Aug 25, 2012 | ZESCO United(away) | 0-1 | Super League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 6, 2012 | Konkola Blades(away) | 1-3 | Super League |
| Sep 29, 2012 | Green Buffaloes(home) | 4-0 | Super League |
| Sep 1, 2012 | Indeni(away) | 3-1 | Super League |
| Aug 25, 2012 | Konkola Mine Police(away) | 1-1 | Super League |
| Aug 18, 2012 | Power Dynamos(home) | 0-0 | Super League |
What does the head-to-head say?
Across the last 1 meetings: 0 Nkana win(s), 0 draw(s), 1 Forest Rangers win(s).
| Date | Score | Competition |
|---|---|---|
| Jun 10, 2012 | Forest Rangers 3-1 Nkana | Super League |
Last archived meeting: Forest Rangers vs Nkana on Jun 10, 2012
How many goals should we expect?
Nkana score 1.1 and concede 0.9 goals per match over their last 15; Forest Rangers score 1.3 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Nkana | 1.1 | 0.9 | 6 | 8/15 | 5/15 |
| Forest Rangers | 1.3 | 0.9 | 5 | 8/15 | 6/15 |
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 |
|---|---|---|---|---|---|---|---|---|
| 13 | Nkana | 34 | 9 | 12 | 13 | 23 | 30 | 39 |
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