Forest Rangers vs NAPSA Stars: result 2-1 and analysis
Super LeagueRegular Season - 15Kick-off on June 23, 2012 at 01:00 PM (UTC)Dag Hammerskjold Stadium, Ndola
Full time
What was the result of Forest Rangers vs NAPSA Stars?
Forest Rangers won 2-1 on June 23, 2012.
What is the recent form of both teams?
Over their last 14 matches in all competitions, Forest Rangers have 4 wins, 4 draws and 6 defeats; NAPSA Stars have 7, 3 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 16, 2012 | ZESCO United(away) | 1-1 | Super League |
| Jun 10, 2012 | Nkana(home) | 3-1 | Super League |
| Jun 2, 2012 | Nakambala Leopards(home) | 1-1 | Super League |
| May 26, 2012 | Konkola Blades(home) | 0-1 | Super League |
| May 23, 2012 | Green Buffaloes(away) | 1-0 | Super League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 16, 2012 | Power Dynamos(home) | 2-1 | Super League |
| Jun 10, 2012 | Nchanga Rangers(away) | 1-0 | Super League |
| Jun 2, 2012 | Konkola Mine Police(away) | 0-0 | Super League |
| May 26, 2012 | Green Eagles(away) | 2-1 | Super League |
| May 23, 2012 | Red Arrows(home) | 0-3 | Super League |
How many goals should we expect?
Forest Rangers score 0.9 and concede 1.1 goals per match over their last 14; NAPSA Stars score 1.2 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Forest Rangers | 0.9 | 1.1 | 2 | 7/14 | 3/14 |
| NAPSA Stars | 1.2 | 1.1 | 3 | 8/14 | 8/14 |
Over the last 14 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 |
|---|---|---|---|---|---|---|---|---|
| 15 | NAPSA Stars | 34 | 8 | 12 | 14 | 25 | 33 | 36 |
A question about Forest Rangers vs NAPSA Stars?
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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