LCS vs Members: result 1-2 and analysis
Premier LeagueRegular Season - 28Kick-off on May 3, 2026 at 01:00 PM (UTC)LCS-Field, Maseru
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What was the result of LCS vs Members?
Members won 1-2 on May 3, 2026.
What is the recent form of both teams?
Over their last 15 matches in all competitions, LCS have 7 wins, 6 draws and 2 defeats; Members have 2, 3 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 19, 2026 | Lijabatho(away) | 0-1 | Premier League |
| Apr 12, 2026 | Maroala(home) | 1-0 | Premier League |
| Apr 4, 2026 | LDF(away) | 1-0 | Premier League |
| Mar 14, 2026 | Lioli(away) | 0-0 | Premier League |
| Mar 11, 2026 | Matlama(home) | 0-0 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Mar 11, 2026 | Machokha(away) | 0-0 | Premier League |
What does the head-to-head say?
In the last meeting: 1 LCS win, 0 draws, 0 Members wins.
| Date | Score | Competition |
|---|---|---|
| Sep 27, 2025 | Members 0-3 LCS | Premier League |
How many goals should we expect?
LCS score 0.8 and concede 0.3 goals per match over their last 15; Members score 0.7 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| LCS | 0.8 | 0.3 | 10 | 3/15 | 2/15 |
| Members | 0.7 | 1.9 | 2 | 8/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
LCS sit 8th in Premier League (6 points from 5 matches) and Members sit 11th (5 points from 5 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | LCS | 5 | 2 | 0 | 3 | 6 | 6 | 6 |
| 11 | Members | 5 | 1 | 2 | 2 | 2 | 6 | 5 |
A question about LCS vs Members?
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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