LDF vs Naughty Boys: result 5-1 and analysis
Premier LeagueRegular Season - 28Kick-off on May 10, 2023 at 01:00 PM (UTC)Ratjomose Stadium, Maseru
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What was the result of LDF vs Naughty Boys?
LDF won 5-1 on May 10, 2023.
What is the recent form of both teams?
Over their last 15 matches in all competitions, LDF have 11 wins, 1 draw and 3 defeats; Naughty Boys have 3, 1 and 11.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 15, 2023 | Lifofane(away) | 1-0 | Premier League |
| Apr 12, 2023 | LMPS(away) | 0-1 | Premier League |
| Apr 8, 2023 | LCS(home) | 1-4 | Premier League |
| Apr 2, 2023 | Bantu(away) | 1-0 | Premier League |
| Mar 12, 2023 | Lijabatho(home) | 2-1 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 16, 2023 | Matlama(home) | 1-0 | Premier League |
| Apr 8, 2023 | Galaxy(home) | 1-0 | Premier League |
| Apr 2, 2023 | Manonyane(away) | 0-2 | Premier League |
| Mar 19, 2023 | Lifofane(away) | 0-4 | Premier League |
| Mar 11, 2023 | LMPS(home) | 0-2 | Premier League |
What does the head-to-head say?
In the last meeting: 1 LDF win, 0 draws, 0 Naughty Boys wins.
| Date | Score | Competition |
|---|---|---|
| Oct 1, 2022 | Naughty Boys 0-3 LDF | Premier League |
How many goals should we expect?
LDF score 1.8 and concede 0.8 goals per match over their last 15; Naughty Boys score 0.5 and concede 2.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| LDF | 1.8 | 0.8 | 7 | 7/15 | 8/15 |
| Naughty Boys | 0.5 | 2.6 | 3 | 5/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | LDF | 5 | 1 | 3 | 1 | 4 | 6 | 6 |
A question about LDF vs Naughty Boys?
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