Manonyane vs Members: result 0-3 and analysis
Premier LeagueRegular Season - 6Kick-off on October 26, 2025 at 01:00 PM (UTC)Nyakosoba Ground, Nyakosoba
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What was the result of Manonyane vs Members?
Members won 0-3 on October 26, 2025.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Manonyane have 3 wins, 5 draws and 7 defeats; Members have 0, 1 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 19, 2025 | Bantu(away) | 0-0 | Premier League |
| Oct 11, 2025 | Limkokwing University(away) | 1-1 | Premier League |
| Sep 27, 2025 | Majantja(home) | 1-1 | Premier League |
| Sep 21, 2025 | Machokha(away) | 0-2 | Premier League |
| Sep 14, 2025 | Linare(away) | 1-2 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 19, 2025 | Liphakoe(home) | 1-2 | Premier League |
| Oct 11, 2025 | Lifofane(away) | 2-3 | Premier League |
| Sep 27, 2025 | LCS(home) | 0-3 | Premier League |
| Sep 21, 2025 | LMPS(away) | 0-0 | Premier League |
| Sep 13, 2025 | Lioli(away) | 0-5 | Premier League |
How many goals should we expect?
Manonyane score 0.8 and concede 1.4 goals per match over their last 15; Members score 0.6 and concede 2.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Manonyane | 0.8 | 1.4 | 3 | 7/15 | 6/15 |
| Members | 0.6 | 2.6 | 1 | 2/5 | 4/5 |
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 Members sit 11th (5 points from 5 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | Manonyane | 5 | 1 | 3 | 1 | 9 | 6 | 6 |
| 11 | Members | 5 | 1 | 2 | 2 | 2 | 6 | 5 |
A question about Manonyane vs Members?
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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