LCS vs Lioli: result 1-2 and analysis
Premier LeagueRegular Season - 24Kick-off on April 12, 2023 at 01:00 PM (UTC)LCS-Field, Maseru
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What was the result of LCS vs Lioli?
Lioli won 1-2 on April 12, 2023.
What is the recent form of both teams?
Over their last 15 matches in all competitions, LCS have 8 wins, 4 draws and 3 defeats; Lioli have 2, 7 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 8, 2023 | LDF(away) | 4-1 | Premier League |
| Apr 2, 2023 | Matlama(away) | 0-1 | Premier League |
| Mar 11, 2023 | Galaxy(away) | 1-0 | Premier League |
| Mar 5, 2023 | Lifofane(home) | 3-0 | Premier League |
| Mar 1, 2023 | Liphakoe(away) | 1-1 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 8, 2023 | Manonyane(home) | 1-1 | Premier League |
| Apr 2, 2023 | LMPS(away) | 2-3 | Premier League |
| Mar 12, 2023 | Liphakoe(home) | 1-0 | Premier League |
| Mar 4, 2023 | Lijabatho(away) | 0-4 | Premier League |
| Feb 26, 2023 | CCX(away) | 1-2 | Premier League |
What does the head-to-head say?
In the last meeting: 0 LCS wins, 1 draw, 0 Lioli wins.
| Date | Score | Competition |
|---|---|---|
| Dec 4, 2022 | Lioli 1-1 LCS | Premier League |
How many goals should we expect?
LCS score 2.1 and concede 0.7 goals per match over their last 15; Lioli score 0.7 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| LCS | 2.1 | 0.7 | 5 | 7/15 | 5/15 |
| Lioli | 0.7 | 1.3 | 4 | 8/15 | 6/15 |
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 Lioli sit 3rd (11 points from 5 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Lioli | 5 | 3 | 2 | 0 | 12 | 4 | 11 |
| 8 | LCS | 5 | 2 | 0 | 3 | 6 | 6 | 6 |
A question about LCS vs Lioli?
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