Naughty Boys vs LDF: result 0-2 and analysis
Premier LeagueRegular Season - 12Kick-off on December 17, 2023 at 02:00 PM (UTC)Bantu Stadium, Mafeteng
Full time
What was the result of Naughty Boys vs LDF?
LDF won 0-2 on December 17, 2023.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Naughty Boys have 2 wins, 1 draw and 12 defeats; LDF have 7, 2 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 9, 2023 | LCS(away) | 0-2 | Premier League |
| Dec 6, 2023 | Lioli(home) | 0-3 | Premier League |
| Dec 3, 2023 | Bantu(away) | 0-7 | Premier League |
| Nov 25, 2023 | CCX(away) | 1-0 | Premier League |
| Nov 18, 2023 | Lifofane(home) | 0-2 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 9, 2023 | Lifofane(away) | 1-1 | Premier League |
| Dec 6, 2023 | CCX(home) | 2-0 | Premier League |
| Dec 3, 2023 | Liphakoe(away) | 1-0 | Premier League |
| Nov 29, 2023 | LCS(away) | 2-1 | Premier League |
| Nov 26, 2023 | Likila United(home) | 0-1 | Premier League |
What does the head-to-head say?
Across the last 2 meetings: 0 Naughty Boys wins, 0 draws, 2 LDF wins.
| Date | Score | Competition |
|---|---|---|
| May 10, 2023 | LDF 5-1 Naughty Boys | Premier League |
| Oct 1, 2022 | Naughty Boys 0-3 LDF | Premier League |
How many goals should we expect?
Naughty Boys score 0.3 and concede 2.2 goals per match over their last 15; LDF score 1.3 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Naughty Boys | 0.3 | 2.2 | 2 | 2/15 | 4/15 |
| LDF | 1.3 | 1.0 | 5 | 5/15 | 5/15 |
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 Naughty Boys vs LDF?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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