Kariba vs Black Rhinos: result 1-1 and analysis
Premier Soccer LeagueRegular Season - 16Kick-off on July 1, 2017 at 01:00 PM (UTC)Nyamhunga Stadium, Kariba
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What was the result of Kariba vs Black Rhinos?
Kariba and Black Rhinos drew 1-1 on July 1, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kariba have 7 wins, 2 draws and 6 defeats; Black Rhinos have 8, 3 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 25, 2017 | Triangle United(away) | 0-1 | Premier Soccer League |
| Jun 17, 2017 | Platinum(home) | 0-0 | Premier Soccer League |
| Jun 14, 2017 | Chicken Inn(away) | 0-2 | Premier Soccer League |
| Jun 3, 2017 | Bantu Rovers(home) | 3-1 | Premier Soccer League |
| May 28, 2017 | Dynamos(away) | 1-3 | Premier Soccer League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 25, 2017 | Harare City(home) | 1-2 | Premier Soccer League |
| Jun 18, 2017 | Shabanie Mine(away) | 0-0 | Premier Soccer League |
| Jun 14, 2017 | Highlanders(home) | 3-0 | Premier Soccer League |
| May 28, 2017 | Yadah(home) | 1-0 | Premier Soccer League |
| May 24, 2017 | How Mine(away) | 1-2 | Premier Soccer League |
How many goals should we expect?
Kariba score 1.1 and concede 1.0 goals per match over their last 15; Black Rhinos score 1.2 and concede 0.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kariba | 1.1 | 1.0 | 6 | 6/15 | 6/15 |
| Black Rhinos | 1.2 | 0.4 | 10 | 3/14 | 5/14 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 13 | Kariba | 31 | 6 | 14 | 11 | 18 | 27 | 32 |
A question about Kariba vs Black Rhinos?
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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