Lifofane vs Naughty Boys: result 4-0 and analysis
Premier LeagueRegular Season - 24Kick-off on March 19, 2023 at 01:00 PM (UTC)Butha-Buthe Field, Butha-Buthe
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What was the result of Lifofane vs Naughty Boys?
Lifofane won 4-0 on March 19, 2023.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Lifofane have 5 wins, 3 draws and 7 defeats; Naughty Boys have 2, 2 and 11.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 11, 2023 | Manonyane(home) | 1-0 | Premier League |
| Mar 8, 2023 | Linare(home) | 2-4 | Premier League |
| Mar 5, 2023 | LCS(away) | 0-3 | Premier League |
| Feb 25, 2023 | Machokha(away) | 2-2 | Premier League |
| Feb 5, 2023 | Lioli(away) | 3-0 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 11, 2023 | LMPS(home) | 0-2 | Premier League |
| Mar 5, 2023 | Bantu(away) | 0-5 | Premier League |
| Mar 1, 2023 | Linare(away) | 0-6 | Premier League |
| Feb 19, 2023 | Lioli(home) | 2-1 | Premier League |
| Feb 5, 2023 | CCX(away) | 1-2 | Premier League |
What does the head-to-head say?
In the last meeting: 1 Lifofane win, 0 draws, 0 Naughty Boys wins.
| Date | Score | Competition |
|---|---|---|
| Dec 4, 2022 | Naughty Boys 1-2 Lifofane | Premier League |
Last archived meeting: Naughty Boys vs Lifofane on Dec 4, 2022
How many goals should we expect?
Lifofane score 1.1 and concede 1.5 goals per match over their last 15; Naughty Boys score 0.7 and concede 2.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Lifofane | 1.1 | 1.5 | 3 | 8/15 | 8/15 |
| Naughty Boys | 0.7 | 2.7 | 1 | 7/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 12 | Lifofane | 5 | 1 | 1 | 3 | 5 | 9 | 4 |
A question about Lifofane vs Naughty Boys?
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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