Members vs LMPS: result 2-1 and analysis
Premier LeagueRegular Season - 29Kick-off on May 10, 2026 at 01:00 PM (UTC)
Full time
What was the result of Members vs LMPS?
Members won 2-1 on May 10, 2026.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Members have 3 wins, 3 draws and 9 defeats; LMPS have 3, 7 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 3, 2026 | LCS(away) | 2-1 | Premier League |
| Apr 19, 2026 | Lifofane(home) | 1-2 | Premier League |
| Apr 12, 2026 | Liphakoe(away) | 1-1 | Premier League |
| Apr 4, 2026 | Manonyane(home) | 1-5 | Premier League |
| Mar 14, 2026 | Majantja(home) | 2-3 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 3, 2026 | Lijabatho(home) | 0-2 | Premier League |
| Apr 28, 2026 | Maroala(away) | 2-1 | Premier League |
| Apr 12, 2026 | LDF(home) | 1-1 | Premier League |
| Apr 5, 2026 | Matlama(away) | 0-3 | Premier League |
| Mar 15, 2026 | Linare(away) | 1-1 | Premier League |
What does the head-to-head say?
In the last meeting: 0 Members wins, 1 draw, 0 LMPS wins.
| Date | Score | Competition |
|---|---|---|
| Sep 21, 2025 | LMPS 0-0 Members | Premier League |
How many goals should we expect?
Members score 0.8 and concede 1.7 goals per match over their last 15; LMPS score 0.8 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Members | 0.8 | 1.7 | 2 | 8/15 | 7/15 |
| LMPS | 0.8 | 0.9 | 5 | 6/15 | 4/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Members sit 11th in Premier League (5 points from 5 matches) and LMPS sit 16th (1 point from 5 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 11 | Members | 5 | 1 | 2 | 2 | 2 | 6 | 5 |
| 16 | LMPS | 5 | 0 | 1 | 4 | 3 | 10 | 1 |
A question about Members vs LMPS?
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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