Maroala vs Lifofane: result 0-1 and analysis
Premier LeagueRegular Season - 25Kick-off on April 5, 2026 at 11:00 AM (UTC)
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What was the result of Maroala vs Lifofane?
Lifofane won 0-1 on April 5, 2026.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Maroala have 3 wins, 3 draws and 9 defeats; Lifofane have 9, 3 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 14, 2026 | Manonyane(home) | 1-3 | Premier League |
| Mar 11, 2026 | Liphakoe(away) | 1-0 | Premier League |
| Mar 8, 2026 | Machokha(away) | 1-1 | Premier League |
| Mar 1, 2026 | Linare(away) | 1-3 | Premier League |
| Feb 21, 2026 | Limkokwing University(away) | 2-3 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 15, 2026 | Matlama(away) | 0-0 | Premier League |
| Mar 12, 2026 | LDF(home) | 0-1 | Premier League |
| Mar 7, 2026 | Lioli(home) | 2-3 | Premier League |
| Mar 1, 2026 | Machokha(away) | 1-0 | Premier League |
| Feb 22, 2026 | LCS(home) | 1-0 | Premier League |
What does the head-to-head say?
In the last meeting: 0 Maroala wins, 0 draws, 1 Lifofane win.
| Date | Score | Competition |
|---|---|---|
| Oct 25, 2025 | Lifofane 2-0 Maroala | Premier League |
How many goals should we expect?
Maroala score 0.7 and concede 1.9 goals per match over their last 15; Lifofane score 1.3 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Maroala | 0.7 | 1.9 | 4 | 7/15 | 8/15 |
| Lifofane | 1.3 | 0.7 | 8 | 6/15 | 5/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 12 | Lifofane | 5 | 1 | 1 | 3 | 5 | 9 | 4 |
A question about Maroala vs Lifofane?
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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