Naughty Boys vs CCX: result 1-4 and analysis
Premier LeagueRegular Season - 24Kick-off on March 31, 2024 at 01:00 PM (UTC)Bantu Stadium, Mafeteng
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What was the result of Naughty Boys vs CCX?
CCX won 1-4 on March 31, 2024.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Naughty Boys have 1 win, 4 draws and 10 defeats; CCX have 4, 1 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 24, 2024 | Lifofane(away) | 1-2 | Premier League |
| Mar 10, 2024 | Liphakoe(home) | 2-2 | Premier League |
| Mar 2, 2024 | Machokha(home) | 3-0 | Premier League |
| Feb 25, 2024 | Manonyane(home) | 2-2 | Premier League |
| Feb 18, 2024 | Lioli(away) | 1-3 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 24, 2024 | Liphakoe(home) | 0-1 | Premier League |
| Mar 9, 2024 | Likila United(away) | 1-0 | Premier League |
| Mar 3, 2024 | ACE Maseru(home) | 1-0 | Premier League |
| Feb 25, 2024 | Linare(away) | 0-1 | Premier League |
| Feb 17, 2024 | LDF(home) | 1-4 | Premier League |
What does the head-to-head say?
Across the last 3 meetings: 2 Naughty Boys wins, 0 draws, 1 CCX win.
| Date | Score | Competition |
|---|---|---|
| Nov 25, 2023 | CCX 0-1 Naughty Boys | Premier League |
| Feb 5, 2023 | CCX 2-1 Naughty Boys | Premier League |
| Nov 26, 2022 | Naughty Boys 3-2 CCX | Premier League |
How many goals should we expect?
Naughty Boys score 0.7 and concede 2.4 goals per match over their last 15; CCX score 0.4 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Naughty Boys | 0.7 | 2.4 | 2 | 6/15 | 9/15 |
| CCX | 0.4 | 1.7 | 5 | 2/15 | 5/15 |
Over the last 15 matches in all competitions.
A question about Naughty Boys vs CCX?
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