Simba Bhora vs Green Fuel: result 0-1 and analysis
Premier Soccer LeagueRegular Season - 7Kick-off on April 27, 2023 at 01:00 PM (UTC)National Sports Stadium, Harare
Full time
What was the result of Simba Bhora vs Green Fuel?
Green Fuel won 0-1 on April 27, 2023.
Goalscorers
- 15′?Green Fuel
What is the recent form of both teams?
Over their last 6 matches in all competitions, Simba Bhora have 2 wins, 2 draws and 2 defeats; Green Fuel have 0, 2 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 23, 2023 | Sheasham(away) | 1-1 | Premier Soccer League |
| Apr 14, 2023 | Hwange(home) | 2-0 | Premier Soccer League |
| Apr 6, 2023 | Yadah(away) | 1-0 | Premier Soccer League |
| Apr 1, 2023 | Dynamos(home) | 0-0 | Premier Soccer League |
| Mar 25, 2023 | Chicken Inn(away) | 0-1 | Premier Soccer League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 22, 2023 | Ngezi Platinum(home) | 2-3 | Premier Soccer League |
| Apr 15, 2023 | Sheasham(away) | 1-1 | Premier Soccer League |
| Apr 7, 2023 | Manica Diamonds(home) | 1-2 | Premier Soccer League |
| Apr 2, 2023 | Hwange(away) | 0-3 | Premier Soccer League |
| Mar 25, 2023 | Herentals(home) | 1-1 | Premier Soccer League |
How many goals should we expect?
Simba Bhora score 0.8 and concede 0.7 goals per match over their last 6; Green Fuel score 0.8 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Simba Bhora | 0.8 | 0.7 | 3 | 2/6 | 1/6 |
| Green Fuel | 0.8 | 1.8 | 0 | 4/6 | 3/6 |
Over the last 6 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 11 | Simba Bhora | 30 | 8 | 12 | 10 | 29 | 30 | 36 |
A question about Simba Bhora vs Green Fuel?
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