PBDKT T-Team vs Melaka United: result 1-5 and analysis
Super LeagueRegular Season - 19Kick-off on August 5, 2017 at 01:00 PM (UTC)Stadium Sultan Ismail Nasiruddin Shah, Kuala Terengganu
Full time
What was the result of PBDKT T-Team vs Melaka United?
Melaka United won 1-5 on August 5, 2017.
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; Melaka United have 3, 5 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 26, 2017 | Pkns FC(away) | 1-2 | Super League |
| Jul 22, 2017 | Johor Darul Takzim FC(home) | 1-6 | Super League |
| Jul 15, 2017 | Felda United FC(away) | 1-5 | Super League |
| Jul 11, 2017 | Kelantan FA(home) | 3-1 | Super League |
| Jul 1, 2017 | Selangor(away) | 2-4 | Super League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 26, 2017 | Sarawak FA(home) | 4-2 | Super League |
| Jul 22, 2017 | Pahang(away) | 0-2 | Super League |
| Jul 15, 2017 | Penang(home) | 2-3 | Super League |
| Jul 11, 2017 | Kedah(home) | 2-4 | Super League |
| Jul 1, 2017 | Pkns FC(away) | 1-1 | Super League |
What does the head-to-head say?
In the last meeting: 1 PBDKT T-Team win, 0 draws, 0 Melaka United wins.
| Date | Score | Competition |
|---|---|---|
| Feb 11, 2017 | Melaka United 1-2 PBDKT T-Team | Super League |
Last archived meeting: Melaka United vs PBDKT T-Team on Feb 11, 2017
How many goals should we expect?
PBDKT T-Team score 1.7 and concede 2.2 goals per match over their last 15; Melaka United score 1.2 and concede 2.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| PBDKT T-Team | 1.7 | 2.2 | 4 | 9/15 | 13/15 |
| Melaka United | 1.2 | 2.3 | 2 | 9/15 | 8/15 |
Over the last 15 matches in all competitions.
A question about PBDKT T-Team vs Melaka United?
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