Stand United vs Tanzania Prisons: result 3-0 and analysis
Ligi kuu BaraRegular Season - 7Kick-off on October 17, 2015 at 01:00 PM (UTC)Kambarage Stadium, Shinyanga
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What was the result of Stand United vs Tanzania Prisons?
Stand United won 3-0 on October 17, 2015.
What is the recent form of both teams?
Over their last 6 matches in all competitions, Stand United have 3 wins, 0 draws and 3 defeats; Tanzania Prisons have 3, 1 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 4, 2015 | Mbeya City(home) | 1-0 | Ligi kuu Bara |
| Sep 30, 2015 | Simba(away) | 0-1 | Ligi kuu Bara |
| Sep 26, 2015 | Ruvu Stars(away) | 1-0 | Ligi kuu Bara |
| Sep 19, 2015 | African Sports(home) | 2-0 | Ligi kuu Bara |
| Sep 16, 2015 | Azam(home) | 0-2 | Ligi kuu Bara |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 4, 2015 | Kagera Sugar(away) | 3-0 | Ligi kuu Bara |
| Sep 30, 2015 | Mwadui(home) | 0-0 | Ligi kuu Bara |
| Sep 26, 2015 | JKT Mgambo(home) | 1-0 | Ligi kuu Bara |
| Sep 19, 2015 | Mbeya City(home) | 1-0 | Ligi kuu Bara |
| Sep 16, 2015 | Young Africans(away) | 0-3 | Ligi kuu Bara |
How many goals should we expect?
Stand United score 0.7 and concede 0.7 goals per match over their last 6; Tanzania Prisons score 1.0 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Stand United | 0.7 | 0.7 | 3 | 0/6 | 0/6 |
| Tanzania Prisons | 1.0 | 0.8 | 4 | 1/6 | 3/6 |
Over the last 6 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 14 | Tanzania Prisons | 27 | 7 | 5 | 15 | 19 | 37 | 26 |
A question about Stand United vs Tanzania Prisons?
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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