CCX vs Lifofane: result 1-0 and analysis
Premier LeagueRegular Season - 17Kick-off on February 1, 2023 at 02:00 PM (UTC)LAC Ground, Hlotse
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What was the result of CCX vs Lifofane?
CCX won 1-0 on February 1, 2023.
What is the recent form of both teams?
Over their last 15 matches in all competitions, CCX have 0 wins, 4 draws and 11 defeats; Lifofane have 3, 6 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 29, 2023 | Linare(away) | 1-2 | Premier League |
| Jan 15, 2023 | LDF(away) | 0-5 | Premier League |
| Jan 11, 2023 | Lifofane(away) | 0-1 | Premier League |
| Dec 17, 2022 | Manonyane(home) | 0-1 | Premier League |
| Dec 4, 2022 | Galaxy(home) | 0-2 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 28, 2023 | LMPS(away) | 1-3 | Premier League |
| Jan 14, 2023 | Liphakoe(home) | 2-1 | Premier League |
| Jan 11, 2023 | CCX(home) | 1-0 | Premier League |
| Dec 17, 2022 | LCS(home) | 1-1 | Premier League |
| Dec 4, 2022 | Naughty Boys(away) | 2-1 | Premier League |
What does the head-to-head say?
In the last meeting: 0 CCX wins, 0 draws, 1 Lifofane win.
| Date | Score | Competition |
|---|---|---|
| Jan 11, 2023 | Lifofane 1-0 CCX | Premier League |
How many goals should we expect?
CCX score 0.4 and concede 2.1 goals per match over their last 15; Lifofane score 0.6 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| CCX | 0.4 | 2.1 | 2 | 5/15 | 7/15 |
| Lifofane | 0.6 | 1.0 | 5 | 6/15 | 4/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 12 | Lifofane | 5 | 1 | 1 | 3 | 5 | 9 | 4 |
A question about CCX vs Lifofane?
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