CCX vs Liphakoe: result 0-1 and analysis
Premier LeagueRegular Season - 27Kick-off on April 15, 2023 at 01:00 PM (UTC)LAC Ground, Hlotse
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What was the result of CCX vs Liphakoe?
Liphakoe won 0-1 on April 15, 2023.
What is the recent form of both teams?
Over their last 15 matches in all competitions, CCX have 4 wins, 2 draws and 9 defeats; Liphakoe have 6, 2 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 9, 2023 | Lijabatho(home) | 0-2 | Premier League |
| Apr 2, 2023 | Machokha(home) | 0-1 | Premier League |
| Mar 19, 2023 | Galaxy(away) | 2-0 | Premier League |
| Mar 12, 2023 | Mazenod Swallows(away) | 1-1 | Premier League |
| Mar 4, 2023 | Manonyane(away) | 1-1 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 9, 2023 | Machokha(away) | 4-1 | Premier League |
| Apr 2, 2023 | Linare(home) | 0-2 | Premier League |
| Mar 21, 2023 | Mazenod Swallows(home) | 2-1 | Premier League |
| Mar 12, 2023 | Lioli(away) | 0-1 | Premier League |
| Mar 4, 2023 | Matlama(home) | 2-0 | Premier League |
What does the head-to-head say?
In the last meeting: 0 CCX wins, 1 draw, 0 Liphakoe wins.
| Date | Score | Competition |
|---|---|---|
| Oct 4, 2022 | Liphakoe 0-0 CCX | Premier League |
How many goals should we expect?
CCX score 0.9 and concede 1.6 goals per match over their last 15; Liphakoe score 1.3 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| CCX | 0.9 | 1.6 | 2 | 7/15 | 6/15 |
| Liphakoe | 1.3 | 1.4 | 4 | 7/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 15 | Liphakoe | 30 | 3 | 12 | 15 | 14 | 40 | 21 |
A question about CCX vs Liphakoe?
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