TelOne vs Black Rhinos: result 0-2 and analysis
Premier Soccer LeagueRegular Season - 11Kick-off on June 9, 2019 at 01:00 PM (UTC)Luveve Stadium, Bulawayo
Full time
What was the result of TelOne vs Black Rhinos?
Black Rhinos won 0-2 on June 9, 2019.
What is the recent form of both teams?
Over their last 10 matches in all competitions, TelOne have 2 wins, 5 draws and 3 defeats; Black Rhinos have 7, 5 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 2, 2019 | Chapungu United(away) | 1-1 | Premier Soccer League |
| May 26, 2019 | Highlanders(home) | 0-1 | Premier Soccer League |
| May 19, 2019 | Manica Diamonds(away) | 1-1 | Premier Soccer League |
| May 12, 2019 | Platinum(home) | 1-0 | Premier Soccer League |
| May 4, 2019 | Ngezi Platinum(away) | 0-1 | Premier Soccer League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 1, 2019 | Herentals(home) | 2-1 | Premier Soccer League |
| May 25, 2019 | Chicken Inn(away) | 0-0 | Premier Soccer League |
| May 18, 2019 | Hwange(home) | 2-1 | Premier Soccer League |
| May 15, 2019 | Bulawayo Chiefs(home) | 1-0 | Premier Soccer League |
| May 11, 2019 | Mushowani Stars(away) | 0-2 | Premier Soccer League |
How many goals should we expect?
TelOne score 0.5 and concede 0.6 goals per match over their last 10; Black Rhinos score 1.1 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| TelOne | 0.5 | 0.6 | 4 | 3/10 | 0/10 |
| Black Rhinos | 1.1 | 1.0 | 4 | 9/15 | 6/15 |
Over the last 10 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 17 | TelOne | 30 | 4 | 10 | 16 | 20 | 42 | 22 |
A question about TelOne 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