Mzamane vs LCS: result 0-1 and analysis
Premier LeagueRegular Season - 26Kick-off on April 27, 2025 at 01:00 PM (UTC)
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What was the result of Mzamane vs LCS?
LCS won 0-1 on April 27, 2025.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Mzamane have 3 wins, 1 draw and 11 defeats; LCS have 9, 0 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 21, 2025 | Lifofane(home) | 2-1 | Premier League |
| Apr 18, 2025 | LMPS(away) | 0-4 | Premier League |
| Apr 13, 2025 | LDF(away) | 0-2 | Premier League |
| Mar 29, 2025 | Bantu(home) | 0-1 | Premier League |
| Mar 1, 2025 | Matlama(home) | 0-1 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 21, 2025 | Bantu(away) | 0-2 | Premier League |
| Apr 18, 2025 | Lijabatho(away) | 0-1 | Premier League |
| Apr 13, 2025 | Majantja(home) | 2-0 | Premier League |
| Mar 29, 2025 | ACE Maseru(away) | 3-0 | Premier League |
| Mar 1, 2025 | Liphakoe(home) | 2-0 | Premier League |
What does the head-to-head say?
In the last meeting: 0 Mzamane wins, 0 draws, 1 LCS win.
| Date | Score | Competition |
|---|---|---|
| Jan 18, 2025 | LCS 5-1 Mzamane | Premier League |
How many goals should we expect?
Mzamane score 0.5 and concede 2.7 goals per match over their last 15; LCS score 1.3 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mzamane | 0.5 | 2.7 | 3 | 3/15 | 8/15 |
| LCS | 1.3 | 0.7 | 8 | 2/15 | 4/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Mzamane sit 15th in Premier League (3 points from 5 matches) and LCS sit 8th (6 points from 5 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | LCS | 5 | 2 | 0 | 3 | 6 | 6 | 6 |
| 15 | Mzamane | 5 | 1 | 0 | 4 | 2 | 16 | 3 |
A question about Mzamane vs LCS?
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