LCS vs Mazenod Swallows: result 2-0 and analysis
Premier LeagueRegular Season - 27Kick-off on April 16, 2023 at 01:00 PM (UTC)LCS-Field, Maseru
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What was the result of LCS vs Mazenod Swallows?
LCS won 2-0 on April 16, 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; Mazenod Swallows have 1, 2 and 12.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 12, 2023 | Lioli(home) | 1-2 | Premier League |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 9, 2023 | Bantu(home) | 1-3 | Premier League |
| Apr 2, 2023 | Lijabatho(away) | 0-0 | Premier League |
| Mar 21, 2023 | Liphakoe(away) | 1-2 | Premier League |
| Mar 12, 2023 | CCX(home) | 1-1 | Premier League |
| Mar 4, 2023 | Linare(home) | 0-1 | Premier League |
What does the head-to-head say?
In the last meeting: 1 LCS win, 0 draws, 0 Mazenod Swallows wins.
| Date | Score | Competition |
|---|---|---|
| Oct 4, 2022 | Mazenod Swallows 0-4 LCS | Premier League |
Last archived meeting: Mazenod Swallows vs LCS on Oct 4, 2022
How many goals should we expect?
LCS score 1.8 and concede 0.7 goals per match over their last 15; Mazenod Swallows score 0.6 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| LCS | 1.8 | 0.7 | 5 | 7/15 | 5/15 |
| Mazenod Swallows | 0.6 | 1.8 | 1 | 8/15 | 9/15 |
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 Mazenod Swallows?
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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