PBDKT T-Team vs Perak: result 0-0 and analysis
Super LeagueRegular Season - 18Kick-off on August 16, 2016 at 01:00 PM (UTC)Stadium Sultan Ismail Nasiruddin Shah, Kuala Terengganu
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What was the result of PBDKT T-Team vs Perak?
PBDKT T-Team and Perak drew 0-0 on August 16, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, PBDKT T-Team have 5 wins, 3 draws and 7 defeats; Perak have 5, 4 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 6, 2016 | Kelantan FA(away) | 0-2 | Super League |
| Aug 3, 2016 | Selangor(home) | 1-0 | Super League |
| Jul 26, 2016 | Sarawak FA(home) | 1-2 | Super League |
| Jul 23, 2016 | Kedah(away) | 0-1 | Super League |
| Jul 16, 2016 | Penang(home) | 3-4 | Super League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 6, 2016 | Johor Darul Takzim FC(home) | 0-1 | Super League |
| Aug 3, 2016 | Pdrm(home) | 1-0 | Super League |
| Jul 26, 2016 | Pahang(away) | 2-1 | Super League |
| Jul 23, 2016 | Terengganu(home) | 2-0 | Super League |
| Jul 16, 2016 | Felda United FC(away) | 1-2 | Super League |
What does the head-to-head say?
In the last meeting: 0 PBDKT T-Team wins, 1 draw, 0 Perak wins.
| Date | Score | Competition |
|---|---|---|
| Mar 13, 2016 | Perak 0-0 PBDKT T-Team | Super League |
Last archived meeting: Perak vs PBDKT T-Team on Mar 13, 2016
How many goals should we expect?
PBDKT T-Team score 1.4 and concede 1.4 goals per match over their last 15; Perak score 1.4 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| PBDKT T-Team | 1.4 | 1.4 | 4 | 8/15 | 7/15 |
| Perak | 1.4 | 1.5 | 4 | 9/15 | 9/15 |
Over the last 15 matches in all competitions.
A question about PBDKT T-Team vs Perak?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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