Lifofane vs LCS: result 1-1 and analysis
Premier LeagueRegular Season - 15Kick-off on December 17, 2022 at 01:00 PM (UTC)Butha-Buthe Field, Butha-Buthe
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What was the result of Lifofane vs LCS?
Lifofane and LCS drew 1-1 on December 17, 2022.
What is the recent form of both teams?
Over their last 13 matches in all competitions, Lifofane have 1 win, 7 draws and 5 defeats; LCS have 8, 4 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 4, 2022 | Naughty Boys(away) | 2-1 | Premier League |
| Nov 30, 2022 | Lioli(home) | 1-2 | Premier League |
| Nov 19, 2022 | Linare(away) | 0-2 | Premier League |
| Nov 16, 2022 | Machokha(home) | 0-1 | Premier League |
| Nov 6, 2022 | Liphakoe(away) | 1-1 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 14, 2022 | Naughty Boys(home) | 9-1 | Premier League |
| Dec 4, 2022 | Lioli(away) | 1-1 | Premier League |
| Nov 27, 2022 | Linare(home) | 0-1 | Premier League |
| Nov 20, 2022 | Machokha(away) | 6-1 | Premier League |
| Nov 15, 2022 | Liphakoe(home) | 3-1 | Premier League |
How many goals should we expect?
Lifofane score 0.4 and concede 0.8 goals per match over their last 13; LCS score 2.4 and concede 0.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Lifofane | 0.4 | 0.8 | 5 | 4/13 | 2/13 |
| LCS | 2.4 | 0.6 | 6 | 6/14 | 6/14 |
Over the last 13 matches in all competitions.
Where do both teams sit in the table?
Lifofane sit 12th in Premier League (4 points from 5 matches) and LCS sit 8th (6 points from 5 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | LCS | 5 | 2 | 0 | 3 | 6 | 6 | 6 |
| 12 | Lifofane | 5 | 1 | 1 | 3 | 5 | 9 | 4 |
A question about Lifofane vs LCS?
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