LCS vs Naughty Boys: result 2-0 and analysis
Premier LeagueRegular Season - 11Kick-off on December 9, 2023 at 02:00 PM (UTC)LCS-Field, Maseru
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What was the result of LCS vs Naughty Boys?
LCS won 2-0 on December 9, 2023.
What is the recent form of both teams?
Over their last 15 matches in all competitions, LCS have 6 wins, 4 draws and 5 defeats; Naughty Boys have 3, 1 and 11.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 6, 2023 | Machokha(away) | 1-0 | Premier League |
| Dec 3, 2023 | LMPS(home) | 0-0 | Premier League |
| Nov 29, 2023 | LDF(home) | 1-2 | Premier League |
| Nov 26, 2023 | Linare(away) | 0-0 | Premier League |
| Nov 11, 2023 | Lioli(away) | 1-3 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 6, 2023 | Lioli(home) | 0-3 | Premier League |
| Dec 3, 2023 | Bantu(away) | 0-7 | Premier League |
| Nov 25, 2023 | CCX(away) | 1-0 | Premier League |
| Nov 18, 2023 | Lifofane(home) | 0-2 | Premier League |
| Nov 12, 2023 | Liphakoe(away) | 0-1 | Premier League |
What does the head-to-head say?
Across the last 2 meetings: 1 LCS win, 1 draw, 0 Naughty Boys wins.
| Date | Score | Competition |
|---|---|---|
| Jan 21, 2023 | Naughty Boys 0-0 LCS | Premier League |
| Dec 14, 2022 | LCS 9-1 Naughty Boys | Premier League |
How many goals should we expect?
LCS score 1.3 and concede 0.7 goals per match over their last 15; Naughty Boys score 0.3 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| LCS | 1.3 | 0.7 | 9 | 4/15 | 6/15 |
| Naughty Boys | 0.3 | 2.1 | 3 | 2/15 | 4/15 |
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 Naughty Boys?
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