Green Fuel vs Dynamos: result 1-0 and analysis
Premier Soccer LeagueRegular Season - 16Kick-off on July 22, 2023 at 01:00 PM (UTC)Gibbo Stadium, Triangle
Full time
What was the result of Green Fuel vs Dynamos?
Green Fuel won 1-0 on July 22, 2023.
Goalscorers
- 70′?Green Fuel
What is the recent form of both teams?
Over their last 15 matches in all competitions, Green Fuel have 3 wins, 5 draws and 7 defeats; Dynamos have 6, 7 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 15, 2023 | CAPS United(away) | 0-2 | Premier Soccer League |
| Jul 9, 2023 | Chicken Inn(home) | 1-1 | Premier Soccer League |
| Jul 1, 2023 | Bulawayo Chiefs(away) | 2-0 | Premier Soccer League |
| Jun 4, 2023 | Platinum(home) | 0-1 | Premier Soccer League |
| May 28, 2023 | Highlanders(away) | 1-1 | Premier Soccer League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 15, 2023 | Chicken Inn(away) | 2-0 | Premier Soccer League |
| Jul 8, 2023 | Platinum(home) | 0-0 | Premier Soccer League |
| Jul 2, 2023 | Black Rhinos(away) | 2-1 | Premier Soccer League |
| Jun 4, 2023 | Kariba(home) | 3-0 | Premier Soccer League |
| May 28, 2023 | Ngezi Platinum(away) | 1-2 | Premier Soccer League |
How many goals should we expect?
Green Fuel score 0.7 and concede 1.1 goals per match over their last 15; Dynamos score 1.1 and concede 0.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Green Fuel | 0.7 | 1.1 | 4 | 6/15 | 3/15 |
| Dynamos | 1.1 | 0.4 | 12 | 3/15 | 5/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Dynamos | 30 | 12 | 15 | 3 | 40 | 22 | 51 |
A question about Green Fuel vs Dynamos?
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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