Forest Rangers vs Kansanshi Dynamos: result 1-0 and analysis
Super LeagueRegular Season - 13Kick-off on November 27, 2021 at 01:00 PM (UTC)Levy Mwanawasa Stadium, Ndola
Full time
What was the result of Forest Rangers vs Kansanshi Dynamos?
Forest Rangers won 1-0 on November 27, 2021.
Goalscorers
- 52′Thomas ChideuForest Rangers
What is the recent form of both teams?
Over their last 15 matches in all competitions, Forest Rangers have 3 wins, 9 draws and 3 defeats; Kansanshi Dynamos have 4, 3 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 21, 2021 | ZESCO United(away) | 1-1 | Super League |
| Nov 17, 2021 | Indeni(home) | 2-1 | Super League |
| Nov 7, 2021 | Chambishi(away) | 1-1 | Super League |
| Nov 4, 2021 | Red Arrows(away) | 1-1 | Super League |
| Oct 30, 2021 | Kabwe Warriors(home) | 1-1 | Super League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 21, 2021 | Prison Leopards(home) | 1-1 | Super League |
| Nov 17, 2021 | Green Eagles(away) | 0-1 | Super League |
| Nov 5, 2021 | Konkola Blades(home) | 1-0 | Super League |
| Oct 30, 2021 | Green Buffaloes(away) | 0-0 | Super League |
| Oct 23, 2021 | Nkana(home) | 1-0 | Super League |
How many goals should we expect?
Forest Rangers score 1.1 and concede 1.1 goals per match over their last 15; Kansanshi Dynamos score 0.7 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Forest Rangers | 1.1 | 1.1 | 2 | 12/15 | 5/15 |
| Kansanshi Dynamos | 0.7 | 0.8 | 6 | 2/11 | 3/11 |
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 |
|---|---|---|---|---|---|---|---|---|
| 11 | Kansanshi Dynamos | 34 | 10 | 13 | 11 | 28 | 26 | 43 |
A question about Forest Rangers vs Kansanshi Dynamos?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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