Dynamos vs Black Rhinos: result 0-1 and analysis
Premier Soccer LeagueRegular Season - 3Kick-off on May 18, 2017 at 05:00 PM (UTC)National Sports Stadium, Harare
Full time
What was the result of Dynamos vs Black Rhinos?
Black Rhinos won 0-1 on May 18, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Dynamos have 7 wins, 3 draws and 5 defeats; Black Rhinos have 4, 2 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 14, 2017 | Highlanders(away) | 3-0 | Premier Soccer League |
| Apr 30, 2017 | Yadah(away) | 1-0 | Premier Soccer League |
| Apr 27, 2017 | How Mine(home) | 0-1 | Premier Soccer League |
| Apr 23, 2017 | Hwange(away) | 1-0 | Premier Soccer League |
| Apr 9, 2017 | Triangle United(away) | 2-2 | Premier Soccer League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 13, 2017 | Bulawayo City(away) | 1-0 | Premier Soccer League |
| May 7, 2017 | Triangle United(away) | 1-1 | Premier Soccer League |
| May 2, 2017 | Platinum(home) | 0-0 | Premier Soccer League |
| Apr 27, 2017 | Chicken Inn(away) | 1-0 | Premier Soccer League |
| Apr 21, 2017 | Bantu Rovers(home) | 3-0 | Premier Soccer League |
How many goals should we expect?
Dynamos score 1.3 and concede 1.0 goals per match over their last 15; Black Rhinos score 1.0 and concede 0.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Dynamos | 1.3 | 1.0 | 7 | 5/15 | 5/15 |
| Black Rhinos | 1.0 | 0.3 | 5 | 1/7 | 1/7 |
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 Dynamos 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