LCS vs CCX: result 4-0 and analysis
Premier LeagueRegular Season - 30Kick-off on May 20, 2023 at 12:00 PM (UTC)LCS-Field, Maseru
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What was the result of LCS vs CCX?
LCS won 4-0 on May 20, 2023.
What is the recent form of both teams?
Over their last 15 matches in all competitions, LCS have 7 wins, 4 draws and 4 defeats; CCX have 5, 2 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 13, 2023 | Bantu(home) | 0-2 | Premier League |
| May 10, 2023 | Lijabatho(away) | 0-0 | Premier League |
| Apr 16, 2023 | Mazenod Swallows(home) | 2-0 | Premier League |
| Apr 12, 2023 | Lioli(home) | 1-2 | Premier League |
| Apr 8, 2023 | LDF(away) | 4-1 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 13, 2023 | LMPS(home) | 2-1 | Premier League |
| May 7, 2023 | Bantu(away) | 0-2 | Premier League |
| Apr 15, 2023 | Liphakoe(home) | 0-1 | Premier League |
| Apr 9, 2023 | Lijabatho(home) | 0-2 | Premier League |
| Apr 2, 2023 | Machokha(home) | 0-1 | Premier League |
What does the head-to-head say?
In the last meeting: 1 LCS win, 0 draws, 0 CCX wins.
| Date | Score | Competition |
|---|---|---|
| Sep 17, 2022 | CCX 0-3 LCS | Premier League |
How many goals should we expect?
LCS score 1.3 and concede 0.7 goals per match over their last 15; CCX score 0.9 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| LCS | 1.3 | 0.7 | 7 | 5/15 | 4/15 |
| CCX | 0.9 | 1.5 | 2 | 7/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | LCS | 5 | 2 | 0 | 3 | 6 | 6 | 6 |
A question about LCS vs CCX?
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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