Naughty Boys vs Lioli: result 2-1 and analysis
Premier LeagueRegular Season - 20Kick-off on February 19, 2023 at 01:00 PM (UTC)Bantu Stadium, Mafeteng
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What was the result of Naughty Boys vs Lioli?
Naughty Boys won 2-1 on February 19, 2023.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Naughty Boys have 3 wins, 2 draws and 10 defeats; Lioli have 3, 7 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 5, 2023 | CCX(away) | 1-2 | Premier League |
| Jan 28, 2023 | Liphakoe(away) | 0-1 | Premier League |
| Jan 21, 2023 | LCS(home) | 0-0 | Premier League |
| Jan 15, 2023 | Machokha(home) | 0-1 | Premier League |
| Dec 17, 2022 | Bantu(home) | 1-4 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 5, 2023 | Lifofane(home) | 0-3 | Premier League |
| Jan 29, 2023 | Machokha(away) | 1-1 | Premier League |
| Jan 22, 2023 | Bantu(home) | 0-0 | Premier League |
| Jan 15, 2023 | Linare(home) | 0-1 | Premier League |
| Dec 17, 2022 | Lijabatho(home) | 0-0 | Premier League |
What does the head-to-head say?
In the last meeting: 0 Naughty Boys wins, 1 draw, 0 Lioli wins.
| Date | Score | Competition |
|---|---|---|
| Nov 19, 2022 | Lioli 1-1 Naughty Boys | Premier League |
Last archived meeting: Lioli vs Naughty Boys on Nov 19, 2022
How many goals should we expect?
Naughty Boys score 0.8 and concede 2.1 goals per match over their last 15; Lioli score 0.6 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Naughty Boys | 0.8 | 2.1 | 3 | 6/15 | 7/15 |
| Lioli | 0.6 | 0.8 | 6 | 4/15 | 3/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Lioli | 5 | 3 | 2 | 0 | 12 | 4 | 11 |
A question about Naughty Boys vs Lioli?
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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