Members vs Lijabatho: result 0-4 and analysis
Premier LeagueRegular Season - 12Kick-off on December 7, 2025 at 01:00 PM (UTC)
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What was the result of Members vs Lijabatho?
Lijabatho won 0-4 on December 7, 2025.
What is the recent form of both teams?
Over their last 10 matches in all competitions, Members have 1 win, 2 draws and 7 defeats; Lijabatho have 10, 3 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 29, 2025 | Linare(home) | 1-1 | Premier League |
| Nov 22, 2025 | Bantu(away) | 0-4 | Premier League |
| Nov 9, 2025 | Majantja(away) | 0-2 | Premier League |
| Nov 2, 2025 | Machokha(home) | 0-1 | Premier League |
| Oct 26, 2025 | Manonyane(away) | 3-0 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 30, 2025 | Bantu(home) | 1-1 | Premier League |
| Nov 26, 2025 | LCS(away) | 2-0 | Premier League |
| Nov 23, 2025 | Limkokwing University(away) | 2-0 | Premier League |
| Nov 8, 2025 | Machokha(away) | 2-0 | Premier League |
| Nov 1, 2025 | Manonyane(home) | 3-0 | Premier League |
How many goals should we expect?
Members score 0.7 and concede 2.1 goals per match over their last 10; Lijabatho score 1.5 and concede 0.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Members | 0.7 | 2.1 | 2 | 3/10 | 6/10 |
| Lijabatho | 1.5 | 0.5 | 10 | 3/15 | 3/15 |
Over the last 10 matches in all competitions.
Where do both teams sit in the table?
Members sit 11th in Premier League (5 points from 5 matches) and Lijabatho sit 6th (8 points from 4 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Lijabatho | 4 | 2 | 2 | 0 | 9 | 0 | 8 |
| 11 | Members | 5 | 1 | 2 | 2 | 2 | 6 | 5 |
A question about Members vs Lijabatho?
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