Triangle United vs Black Rhinos: result 1-1 and analysis
Premier Soccer LeagueRegular Season - 7Kick-off on May 7, 2017 at 01:00 PM (UTC)Gibbo Stadium, Triangle
Full time
What was the result of Triangle United vs Black Rhinos?
Triangle United and Black Rhinos drew 1-1 on May 7, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Triangle United have 3 wins, 5 draws and 7 defeats; Black Rhinos have 3, 1 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 29, 2017 | Bulawayo City(away) | 2-1 | Premier Soccer League |
| Apr 26, 2017 | Platinum(away) | 0-0 | Premier Soccer League |
| Apr 23, 2017 | Chicken Inn(home) | 0-1 | Premier Soccer League |
| Apr 17, 2017 | Bantu Rovers(away) | 0-1 | Premier Soccer League |
| Apr 9, 2017 | Dynamos(home) | 2-2 | Premier Soccer League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Apr 8, 2017 | Chapungu United(home) | 1-0 | Premier Soccer League |
| Apr 1, 2017 | Ngezi Platinum(away) | 0-1 | Premier Soccer League |
How many goals should we expect?
Triangle United score 0.7 and concede 1.0 goals per match over their last 15; Black Rhinos score 1.0 and concede 0.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Triangle United | 0.7 | 1.0 | 4 | 6/15 | 5/15 |
| Black Rhinos | 1.0 | 0.2 | 4 | 0/5 | 1/5 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 16 | Triangle United | 30 | 5 | 9 | 16 | 21 | 35 | 24 |
A question about Triangle United 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