Kansanshi Dynamos vs Buildcon: result 0-0 and analysis
Super LeagueRegular Season - 14Kick-off on December 4, 2021 at 01:00 PM (UTC)Lumwana Football Pitch, Lumwana
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What was the result of Kansanshi Dynamos vs Buildcon?
Kansanshi Dynamos and Buildcon drew 0-0 on December 4, 2021.
What is the recent form of both teams?
Over their last 12 matches in all competitions, Kansanshi Dynamos have 4 wins, 3 draws and 5 defeats; Buildcon have 4, 6 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 27, 2021 | Forest Rangers(away) | 0-1 | Super League |
| Nov 21, 2021 | Prison Leopards(home) | 1-1 | Super League |
| Nov 17, 2021 | Green Eagles(away) | 0-1 | Super League |
| Nov 5, 2021 | Konkola Blades(home) | 1-0 | Super League |
| Oct 30, 2021 | Green Buffaloes(away) | 0-0 | Super League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 28, 2021 | ZESCO United(home) | 2-3 | Super League |
| Nov 20, 2021 | Indeni(away) | 1-1 | Super League |
| Nov 17, 2021 | Chambishi(home) | 2-0 | Super League |
| Nov 7, 2021 | Kabwe Warriors(away) | 0-2 | Super League |
| Nov 4, 2021 | Zanaco(away) | 1-1 | Super League |
How many goals should we expect?
Kansanshi Dynamos score 0.7 and concede 0.8 goals per match over their last 12; Buildcon score 0.9 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kansanshi Dynamos | 0.7 | 0.8 | 6 | 2/12 | 3/12 |
| Buildcon | 0.9 | 1.3 | 5 | 7/15 | 4/15 |
Over the last 12 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 |
|---|---|---|---|---|---|---|---|---|
| 11 | Kansanshi Dynamos | 34 | 10 | 13 | 11 | 28 | 26 | 43 |
A question about Kansanshi Dynamos vs Buildcon?
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