Members vs LCS: result 0-3 and analysis
Premier LeagueRegular Season - 3Kick-off on September 27, 2025 at 01:30 PM (UTC)
Full time
What was the result of Members vs LCS?
LCS won 0-3 on September 27, 2025.
What is the recent form of both teams?
Over their last 2 matches in all competitions, Members have 0 wins, 1 draw and 1 defeat; LCS 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 |
|---|---|---|---|
| Sep 21, 2025 | LMPS(away) | 0-0 | Premier League |
| Sep 13, 2025 | Lioli(away) | 0-5 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 21, 2025 | Bantu(home) | 1-0 | Premier League |
| Sep 14, 2025 | Limkokwing University(home) | 0-0 | Premier League |
| May 24, 2025 | Machokha(home) | 0-1 | Premier League |
| May 18, 2025 | Lioli(away) | 0-0 | Premier League |
| May 11, 2025 | Manonyane(home) | 3-0 | Premier League |
How many goals should we expect?
Members score 0.0 and concede 2.5 goals per match over their last 2; LCS score 1.1 and concede 0.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Members | 0.0 | 2.5 | 1 | 0/2 | 1/2 |
| LCS | 1.1 | 0.3 | 11 | 1/15 | 2/15 |
Over the last 2 matches in all competitions.
Where do both teams sit in the table?
Members sit 11th in Premier League (5 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 |
| 11 | Members | 5 | 1 | 2 | 2 | 2 | 6 | 5 |
A question about Members vs LCS?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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