Lijabatho vs CCX: result 1-0 and analysis
Premier LeagueRegular Season - 1Kick-off on October 8, 2023 at 01:00 PM (UTC)Thabeng High School Ground, Morija
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What was the result of Lijabatho vs CCX?
Lijabatho won 1-0 on October 8, 2023.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Lijabatho have 7 wins, 5 draws and 3 defeats; CCX have 5, 2 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 20, 2023 | Naughty Boys(home) | 2-0 | Premier League |
| May 13, 2023 | Lifofane(away) | 1-0 | Premier League |
| May 10, 2023 | LCS(home) | 0-0 | Premier League |
| Apr 16, 2023 | Bantu(home) | 0-0 | Premier League |
| Apr 9, 2023 | CCX(away) | 2-0 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 20, 2023 | LCS(away) | 0-4 | Premier League |
| May 13, 2023 | LMPS(home) | 2-1 | Premier League |
| May 7, 2023 | Bantu(away) | 0-2 | Premier League |
| Apr 15, 2023 | Liphakoe(home) | 0-1 | Premier League |
| Apr 9, 2023 | Lijabatho(home) | 0-2 | Premier League |
What does the head-to-head say?
Across the last 2 meetings: 2 Lijabatho wins, 0 draws, 0 CCX wins.
| Date | Score | Competition |
|---|---|---|
| Apr 9, 2023 | CCX 0-2 Lijabatho | Premier League |
| Oct 9, 2022 | Lijabatho 4-0 CCX | Premier League |
How many goals should we expect?
Lijabatho score 1.3 and concede 0.5 goals per match over their last 15; CCX score 0.9 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Lijabatho | 1.3 | 0.5 | 10 | 3/15 | 5/15 |
| CCX | 0.9 | 1.7 | 2 | 7/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Lijabatho | 4 | 2 | 2 | 0 | 9 | 0 | 8 |
A question about Lijabatho vs CCX?
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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