Kalulushi Modern Stars vs Forest Rangers: result 2-0 and analysis
Super LeagueRegular Season - 28Kick-off on November 2, 2013 at 01:00 PM (UTC)Konkola Stadium, Chililabombwe
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What was the result of Kalulushi Modern Stars vs Forest Rangers?
Kalulushi Modern Stars won 2-0 on November 2, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kalulushi Modern Stars have 2 wins, 5 draws and 8 defeats; Forest Rangers have 1, 9 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 27, 2013 | Roan United(away) | 2-2 | Super League |
| Oct 20, 2013 | Red Arrows(home) | 1-2 | Super League |
| Oct 16, 2013 | Nkana(home) | 1-4 | Super League |
| Oct 6, 2013 | ZESCO United(home) | 2-2 | Super League |
| Sep 28, 2013 | Konkola Blades(away) | 0-1 | Super League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 30, 2013 | NAPSA Stars(away) | 0-2 | Super League |
| Oct 19, 2013 | Roan United(home) | 1-1 | Super League |
| Oct 12, 2013 | Red Arrows(away) | 2-2 | Super League |
| Oct 5, 2013 | Power Dynamos(home) | 1-1 | Super League |
| Oct 2, 2013 | Nkana(away) | 0-0 | Super League |
What does the head-to-head say?
Across the last 1 meetings: 0 Kalulushi Modern Stars win(s), 1 draw(s), 0 Forest Rangers win(s).
| Date | Score | Competition |
|---|---|---|
| Jun 29, 2013 | Forest Rangers 1-1 Kalulushi Modern Stars | Super League |
Last archived meeting: Forest Rangers vs Kalulushi Modern Stars on Jun 29, 2013
How many goals should we expect?
Kalulushi Modern Stars score 0.8 and concede 1.6 goals per match over their last 15; Forest Rangers score 0.6 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kalulushi Modern Stars | 0.8 | 1.6 | 3 | 8/15 | 7/15 |
| Forest Rangers | 0.6 | 1.1 | 4 | 7/15 | 2/15 |
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