Red Arrows vs Kafue Celtic: result 2-2 and analysis
Super LeagueRegular Season - 14Kick-off on November 14, 2021 at 01:00 PM (UTC)Nkoloma Stadium, Lusaka
Full time
What was the result of Red Arrows vs Kafue Celtic?
Red Arrows and Kafue Celtic drew 2-2 on November 14, 2021.
Goalscorers
- 3′?Red Arrows
- 43′?Red Arrows
- 45′?Kafue Celtic
- 87′?Kafue Celtic
What is the recent form of both teams?
Over their last 15 matches in all competitions, Red Arrows have 4 wins, 8 draws and 3 defeats; Kafue Celtic have 3, 4 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 7, 2021 | Power Dynamos(home) | 1-1 | Super League |
| Nov 4, 2021 | Forest Rangers(home) | 1-1 | Super League |
| Oct 31, 2021 | Buildcon(away) | 0-0 | Super League |
| Oct 28, 2021 | Prison Leopards(away) | 1-0 | Super League |
| Oct 24, 2021 | 1º de Agosto(away) | 0-0 | CAF Confederation Cup |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 6, 2021 | Nkwazi(away) | 0-0 | Super League |
| Oct 30, 2021 | Nkana(home) | 0-1 | Super League |
| Oct 24, 2021 | Lusaka Dynamos(away) | 1-1 | Super League |
| Oct 16, 2021 | Kansanshi Dynamos(home) | 1-0 | Super League |
| Oct 2, 2021 | Power Dynamos(away) | 0-0 | Super League |
How many goals should we expect?
Red Arrows score 0.6 and concede 0.7 goals per match over their last 15; Kafue Celtic score 0.7 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Red Arrows | 0.6 | 0.7 | 8 | 5/15 | 3/15 |
| Kafue Celtic | 0.7 | 0.8 | 6 | 3/10 | 2/10 |
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