Green Fuel vs Black Rhinos: result 1-0 and analysis
Premier Soccer LeagueRegular Season - 10Kick-off on May 20, 2023 at 01:00 PM (UTC)Gibbo Stadium, Triangle
Full time
What was the result of Green Fuel vs Black Rhinos?
Green Fuel won 1-0 on May 20, 2023.
What is the recent form of both teams?
Over their last 9 matches in all competitions, Green Fuel have 1 win, 3 draws and 5 defeats; Black Rhinos have 2, 6 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 12, 2023 | Cranborne Bullets(away) | 0-1 | Premier Soccer League |
| May 6, 2023 | Kariba(home) | 0-0 | Premier Soccer League |
| Apr 27, 2023 | Simba Bhora(away) | 1-0 | Premier Soccer League |
| Apr 22, 2023 | Ngezi Platinum(home) | 2-3 | Premier Soccer League |
| Apr 15, 2023 | Sheasham(away) | 1-1 | Premier Soccer League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 15, 2023 | Kariba(away) | 1-3 | Premier Soccer League |
| May 10, 2023 | Ngezi Platinum(home) | 0-0 | Premier Soccer League |
| Apr 29, 2023 | Manica Diamonds(away) | 0-4 | Premier Soccer League |
| Apr 22, 2023 | Herentals(home) | 0-0 | Premier Soccer League |
| Apr 16, 2023 | Triangle United(away) | 1-2 | Premier Soccer League |
How many goals should we expect?
Green Fuel score 0.7 and concede 1.3 goals per match over their last 9; Black Rhinos score 0.5 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Green Fuel | 0.7 | 1.3 | 2 | 4/9 | 3/9 |
| Black Rhinos | 0.5 | 1.1 | 8 | 4/15 | 5/15 |
Over the last 9 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 15 | Green Fuel | 34 | 7 | 16 | 11 | 28 | 30 | 37 |
A question about Green Fuel vs Black Rhinos?
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