Manonyane vs Majantja: result 2-2 and analysis
Premier LeagueRegular Season - 14Kick-off on January 18, 2025 at 02:00 PM (UTC)Nyakosoba Ground, Nyakosoba
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What was the result of Manonyane vs Majantja?
Manonyane and Majantja drew 2-2 on January 18, 2025.
Goalscorers
- 12′?Manonyane
- 30′?Majantja
- 42′?Manonyane
- 85′?Majantja
What is the recent form of both teams?
Over their last 15 matches in all competitions, Manonyane have 4 wins, 4 draws and 7 defeats; Majantja have 3, 5 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 11, 2025 | Machokha(home) | 0-1 | Premier League |
| Dec 15, 2024 | LMPS(home) | 0-2 | Premier League |
| Dec 12, 2024 | LDF(away) | 0-3 | Premier League |
| Dec 8, 2024 | Liphakoe(home) | 0-0 | Premier League |
| Nov 30, 2024 | Linare(away) | 1-0 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 12, 2025 | Matlama(home) | 0-1 | Premier League |
| Dec 15, 2024 | ACE Maseru(home) | 8-0 | Premier League |
| Dec 7, 2024 | Machokha(home) | 0-0 | Premier League |
| Dec 1, 2024 | LMPS(away) | 2-2 | Premier League |
| Nov 23, 2024 | Liphakoe(home) | 3-0 | Premier League |
How many goals should we expect?
Manonyane score 0.7 and concede 1.1 goals per match over their last 15; Majantja score 1.4 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Manonyane | 0.7 | 1.1 | 5 | 3/15 | 3/15 |
| Majantja | 1.4 | 0.9 | 6 | 3/12 | 4/12 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Manonyane sit 7th in Premier League (6 points from 5 matches) and Majantja sit 5th (10 points from 5 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Majantja | 5 | 3 | 1 | 1 | 7 | 4 | 10 |
| 7 | Manonyane | 5 | 1 | 3 | 1 | 9 | 6 | 6 |
A question about Manonyane vs Majantja?
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