Red Arrows vs Indeni: result 4-1 and analysis
Super LeagueRegular Season - 18Kick-off on July 28, 2012 at 01:00 PM (UTC)Nkoloma Stadium, Lusaka
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What was the result of Red Arrows vs Indeni?
Red Arrows won 4-1 on July 28, 2012.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Red Arrows have 5 wins, 7 draws and 3 defeats; Indeni have 2, 3 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 21, 2012 | Nkana(home) | 3-1 | Super League |
| Jul 14, 2012 | Forest Rangers(away) | 0-0 | Super League |
| Jun 23, 2012 | Power Dynamos(away) | 0-1 | Super League |
| Jun 16, 2012 | Nchanga Rangers(home) | 2-0 | Super League |
| Jun 10, 2012 | National Assembly(away) | 1-2 | Super League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 21, 2012 | Konkola Mine Police(away) | 0-3 | Super League |
| Jul 14, 2012 | NAPSA Stars(home) | 2-1 | Super League |
| Jun 23, 2012 | ZESCO United(home) | 0-1 | Super League |
| Jun 17, 2012 | Nkana(away) | 0-0 | Super League |
| Jun 10, 2012 | Roan United(home) | 0-0 | Super League |
What does the head-to-head say?
Across the last 1 meetings: 1 Red Arrows win(s), 0 draw(s), 0 Indeni win(s).
| Date | Score | Competition |
|---|---|---|
| Apr 7, 2012 | Indeni 1-3 Red Arrows | Super League |
How many goals should we expect?
Red Arrows score 1.1 and concede 0.5 goals per match over their last 15; Indeni score 0.4 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Red Arrows | 1.1 | 0.5 | 8 | 5/15 | 4/15 |
| Indeni | 0.4 | 1.1 | 3 | 4/15 | 4/15 |
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 |
|---|---|---|---|---|---|---|---|---|
| 2 | Red Arrows | 34 | 17 | 12 | 5 | 44 | 22 | 63 |
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