Matebele vs Chadibe: result 2-0 and analysis
Premier LeagueRegular Season - 19Kick-off on February 12, 2025 at 03:00 PM (UTC)BPSC Stadium, Gaborone
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What was the result of Matebele vs Chadibe?
Matebele won 2-0 on February 12, 2025.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Matebele have 4 wins, 2 draws and 9 defeats; Chadibe have 1, 5 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 1, 2025 | Sua Flamingoes(away) | 1-4 | Premier League |
| Jan 26, 2025 | TAFIC(home) | 2-0 | Premier League |
| Jan 18, 2025 | TAFIC(away) | 1-3 | Premier League |
| Jan 11, 2025 | Sua Flamingoes(home) | 1-2 | Premier League |
| Jan 4, 2025 | Nico United(away) | 1-2 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 9, 2025 | Nico United(home) | 2-1 | Premier League |
| Feb 2, 2025 | Extension Gunners(away) | 1-1 | Premier League |
| Jan 25, 2025 | Morupule Wanderers(home) | 1-3 | Premier League |
| Jan 18, 2025 | Morupule Wanderers(away) | 0-6 | Premier League |
| Jan 11, 2025 | Extension Gunners(home) | 0-0 | Premier League |
What does the head-to-head say?
In the last meeting: 1 Matebele win, 0 draws, 0 Chadibe wins.
| Date | Score | Competition |
|---|---|---|
| Dec 14, 2024 | Chadibe 0-2 Matebele | Premier League |
How many goals should we expect?
Matebele score 0.9 and concede 1.5 goals per match over their last 15; Chadibe score 0.5 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Matebele | 0.9 | 1.5 | 5 | 6/15 | 7/15 |
| Chadibe | 0.5 | 2.0 | 2 | 7/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 16 | Matebele | 5 | 0 | 1 | 4 | 3 | 8 | 1 |
A question about Matebele vs Chadibe?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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