Tanzania Prisons vs Ndanda: result 2-2 and analysis
Ligi kuu BaraRegular Season - 10Kick-off on November 1, 2015 at 01:00 PM (UTC)Sokoine Stadium, Mbeya
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What was the result of Tanzania Prisons vs Ndanda?
Tanzania Prisons and Ndanda drew 2-2 on November 1, 2015.
What is the recent form of both teams?
Over their last 9 matches in all competitions, Tanzania Prisons have 5 wins, 1 draw and 3 defeats; Ndanda have 1, 4 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 29, 2015 | African Sports(home) | 1-0 | Ligi kuu Bara |
| Oct 21, 2015 | Simba(home) | 1-0 | Ligi kuu Bara |
| Oct 17, 2015 | Stand United(away) | 0-3 | Ligi kuu Bara |
| Oct 4, 2015 | Kagera Sugar(away) | 3-0 | Ligi kuu Bara |
| Sep 30, 2015 | Mwadui(home) | 0-0 | Ligi kuu Bara |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 28, 2015 | Stand United(home) | 0-0 | Ligi kuu Bara |
| Oct 22, 2015 | Azam(home) | 0-1 | Ligi kuu Bara |
| Oct 17, 2015 | Toto Africans(home) | 0-0 | Ligi kuu Bara |
| Sep 30, 2015 | Maji Maji(away) | 1-1 | Ligi kuu Bara |
| Sep 27, 2015 | African Sports(away) | 0-1 | Ligi kuu Bara |
How many goals should we expect?
Tanzania Prisons score 0.9 and concede 0.9 goals per match over their last 9; Ndanda score 0.5 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Tanzania Prisons | 0.9 | 0.9 | 6 | 1/9 | 4/9 |
| Ndanda | 0.5 | 0.8 | 3 | 3/8 | 1/8 |
Over the last 9 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 Tanzania Prisons vs Ndanda?
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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