Nakambala Leopards vs Forest Rangers: result 0-1 and analysis
Super LeagueRegular Season - 24Kick-off on October 31, 2012 at 02:00 PM (UTC)Nakambala Stadium, Mazabuka
Full time
What was the result of Nakambala Leopards vs Forest Rangers?
Forest Rangers won 0-1 on October 31, 2012.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Nakambala Leopards have 1 wins, 6 draws and 8 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 20, 2012 | Konkola Mine Police(away) | 2-3 | Super League |
| Oct 13, 2012 | Green Buffaloes(away) | 1-1 | Super League |
| Oct 6, 2012 | Zanaco(home) | 1-1 | Super League |
| Sep 29, 2012 | Indeni(away) | 1-1 | Super League |
| Sep 2, 2012 | Nchanga Rangers(home) | 0-1 | Super League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 20, 2012 | Roan United(home) | 2-3 | Super League |
| Oct 13, 2012 | Nkana(away) | 1-1 | Super League |
| 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 |
What does the head-to-head say?
Across the last 1 meetings: 0 Nakambala Leopards win(s), 1 draw(s), 0 Forest Rangers win(s).
| Date | Score | Competition |
|---|---|---|
| Jun 2, 2012 | Forest Rangers 1-1 Nakambala Leopards | Super League |
Last archived meeting: Forest Rangers vs Nakambala Leopards on Jun 2, 2012
How many goals should we expect?
Nakambala Leopards score 0.7 and concede 1.4 goals per match over their last 15; Forest Rangers score 1.4 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Nakambala Leopards | 0.7 | 1.4 | 1 | 8/15 | 3/15 |
| Forest Rangers | 1.4 | 1.0 | 5 | 9/15 | 7/15 |
Over the last 15 matches in all competitions.
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