New Monze Swallows vs Kabwe Warriors: result 2-1 and analysis
Super LeagueRegular Season - 15Kick-off on June 2, 2018 at 01:00 PM (UTC)Harry Mwanga Nkumbula Stadium, Monze
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What was the result of New Monze Swallows vs Kabwe Warriors?
New Monze Swallows won 2-1 on June 2, 2018.
What is the recent form of both teams?
Over their last 14 matches in all competitions, New Monze Swallows have 1 win, 2 draws and 11 defeats; Kabwe Warriors have 8, 5 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 30, 2018 | Power Dynamos(home) | 0-1 | Super League |
| May 26, 2018 | NAPSA Stars(away) | 1-0 | Super League |
| May 23, 2018 | ZESCO United(home) | 0-1 | Super League |
| May 19, 2018 | Zanaco(home) | 0-1 | Super League |
| May 12, 2018 | Lumwana Radiants(away) | 0-1 | Super League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 30, 2018 | NAPSA Stars(home) | 0-0 | Super League |
| May 26, 2018 | Zanaco(away) | 1-0 | Super League |
| May 19, 2018 | Lumwana Radiants(home) | 3-1 | Super League |
| May 6, 2018 | Nkana(home) | 0-2 | Super League |
| May 1, 2018 | National Assembly(away) | 3-2 | Super League |
How many goals should we expect?
New Monze Swallows score 0.4 and concede 1.6 goals per match over their last 14; Kabwe Warriors score 1.2 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| New Monze Swallows | 0.4 | 1.6 | 2 | 4/14 | 5/14 |
| Kabwe Warriors | 1.2 | 0.7 | 8 | 5/15 | 3/15 |
Over the last 14 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 |
|---|---|---|---|---|---|---|---|---|
| 4 | Kabwe Warriors | 34 | 14 | 9 | 11 | 30 | 25 | 51 |
A question about New Monze Swallows vs Kabwe Warriors?
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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