Nakambala Leopards vs Red Arrows: result 0-2 and analysis
Super LeagueRegular Season - 4Kick-off on April 14, 2012 at 12:00 PM (UTC)Nakambala Stadium, Mazabuka
Full time
What was the result of Nakambala Leopards vs Red Arrows?
Red Arrows won 0-2 on April 14, 2012.
What is the recent form of both teams?
Over their last 3 matches in all competitions, Nakambala Leopards have 0 wins, 1 draw and 2 defeats; Red Arrows have 2, 0 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 9, 2012 | NAPSA Stars(away) | 0-2 | Super League |
| Apr 6, 2012 | ZESCO United(home) | 0-2 | Super League |
| Mar 25, 2012 | Nkana(away) | 1-1 | Super League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 9, 2012 | Zanaco(home) | 0-1 | Super League |
| Apr 7, 2012 | Indeni(away) | 3-1 | Super League |
| Mar 24, 2012 | Forest Rangers(home) | 2-0 | Super League |
How many goals should we expect?
Nakambala Leopards score 0.3 and concede 1.7 goals per match over their last 3; Red Arrows score 1.7 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Nakambala Leopards | 0.3 | 1.7 | 0 | 1/3 | 0/3 |
| Red Arrows | 1.7 | 0.7 | 1 | 1/3 | 1/3 |
Over the last 3 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 |
|---|---|---|---|---|---|---|---|---|
| 2 | Red Arrows | 34 | 17 | 12 | 5 | 44 | 22 | 63 |
A question about Nakambala Leopards vs Red Arrows?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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