Dynamos vs Bantu Rovers: result 2-0 and analysis
Premier Soccer LeagueRegular Season - 16Kick-off on June 30, 2017 at 05:30 PM (UTC)National Sports Stadium, Harare
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What was the result of Dynamos vs Bantu Rovers?
Dynamos won 2-0 on June 30, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Dynamos have 9 wins, 2 draws and 4 defeats; Bantu Rovers have 2, 2 and 11.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 25, 2017 | Bulawayo City(home) | 4-3 | Premier Soccer League |
| Jun 15, 2017 | Ngezi Platinum(home) | 3-2 | Premier Soccer League |
| Jun 3, 2017 | Tsholotsho(away) | 1-0 | Premier Soccer League |
| May 28, 2017 | Kariba(home) | 3-1 | Premier Soccer League |
| May 25, 2017 | Harare City(away) | 1-0 | Premier Soccer League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 25, 2017 | Chapungu United(home) | 0-1 | Premier Soccer League |
| Jun 18, 2017 | Ngezi Platinum(away) | 2-2 | Premier Soccer League |
| Jun 15, 2017 | Tsholotsho(home) | 1-1 | Premier Soccer League |
| Jun 13, 2017 | CAPS United(away) | 0-3 | Premier Soccer League |
| Jun 3, 2017 | Kariba(away) | 1-3 | Premier Soccer League |
How many goals should we expect?
Dynamos score 1.5 and concede 1.0 goals per match over their last 15; Bantu Rovers score 1.2 and concede 2.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Dynamos | 1.5 | 1.0 | 6 | 6/15 | 6/15 |
| Bantu Rovers | 1.2 | 2.3 | 1 | 8/15 | 10/15 |
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 Dynamos vs Bantu Rovers?
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