LCS vs Machokha: result 3-1 and analysis
Premier LeagueRegular Season - 20Kick-off on February 18, 2023 at 01:00 PM (UTC)LCS-Field, Maseru
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What was the result of LCS vs Machokha?
LCS won 3-1 on February 18, 2023.
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; Machokha have 6, 4 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 4, 2023 | Linare(away) | 1-0 | Premier League |
| Jan 28, 2023 | Manonyane(home) | 2-0 | Premier League |
| Jan 21, 2023 | Naughty Boys(away) | 0-0 | Premier League |
| Jan 14, 2023 | LMPS(home) | 0-1 | Premier League |
| Dec 17, 2022 | Lifofane(away) | 1-1 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 4, 2023 | Bantu(home) | 1-4 | Premier League |
| Jan 29, 2023 | Lioli(home) | 1-1 | Premier League |
| Jan 22, 2023 | Mazenod Swallows(away) | 2-1 | Premier League |
| Jan 18, 2023 | LDF(away) | 1-3 | Premier League |
| Jan 15, 2023 | Naughty Boys(away) | 1-0 | Premier League |
What does the head-to-head say?
In the last meeting: 1 LCS win, 0 draws, 0 Machokha wins.
| Date | Score | Competition |
|---|---|---|
| Nov 20, 2022 | Machokha 1-6 LCS | Premier League |
How many goals should we expect?
LCS score 1.9 and concede 0.6 goals per match over their last 15; Machokha score 1.1 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| LCS | 1.9 | 0.6 | 6 | 7/15 | 4/15 |
| Machokha | 1.1 | 1.5 | 5 | 8/15 | 5/15 |
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 Machokha sit 14th (3 points from 5 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | LCS | 5 | 2 | 0 | 3 | 6 | 6 | 6 |
| 14 | Machokha | 5 | 1 | 0 | 4 | 4 | 12 | 3 |
A question about LCS vs Machokha?
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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