Red Arrows vs Lusaka Dynamos: result 1-1 and analysis
Super LeagueRegular Season - 11Kick-off on June 10, 2015 at 01:00 PM (UTC)Nkoloma Stadium, Lusaka
Full time
What was the result of Red Arrows vs Lusaka Dynamos?
Red Arrows and Lusaka Dynamos drew 1-1 on June 10, 2015.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Red Arrows have 6 wins, 3 draws and 6 defeats; Lusaka Dynamos have 4, 4 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 6, 2015 | Green Buffaloes(away) | 1-1 | Super League |
| Jun 3, 2015 | Zanaco(away) | 0-2 | Super League |
| May 16, 2015 | Forest Rangers(home) | 3-1 | Super League |
| May 2, 2015 | Green Eagles(home) | 3-0 | Super League |
| Apr 25, 2015 | ZESCO United(away) | 2-3 | Super League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 6, 2015 | Konkola Blades(home) | 2-1 | Super League |
| May 23, 2015 | Nkana(home) | 3-0 | Super League |
| May 16, 2015 | Mufulira Wanderers(away) | 0-2 | Super League |
| May 9, 2015 | Nakambala Leopards(home) | 1-0 | Super League |
| May 2, 2015 | NAPSA Stars(away) | 2-1 | Super League |
How many goals should we expect?
Red Arrows score 1.4 and concede 1.1 goals per match over their last 15; Lusaka Dynamos score 1.0 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Red Arrows | 1.4 | 1.1 | 5 | 7/15 | 6/15 |
| Lusaka Dynamos | 1.0 | 1.0 | 3 | 5/11 | 4/11 |
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 |
|---|---|---|---|---|---|---|---|---|
| 2 | Red Arrows | 34 | 17 | 12 | 5 | 44 | 22 | 63 |
A question about Red Arrows vs Lusaka Dynamos?
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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