PBDKT T-Team vs Pahang: result 0-1 and analysis
Super LeagueRegular Season - 21Kick-off on September 27, 2017 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 Pahang?
Pahang won 0-1 on September 27, 2017.
Goalscorers
- 79′Matheus AlvesPahang
What is the recent form of both teams?
Over their last 15 matches in all competitions, PBDKT T-Team have 5 wins, 2 draws and 8 defeats; Pahang have 8, 2 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 20, 2017 | Penang(away) | 2-0 | Super League |
| Aug 5, 2017 | Melaka United(home) | 1-5 | Super League |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 20, 2017 | Sarawak FA(home) | 3-0 | Super League |
| Aug 5, 2017 | Kedah(home) | 2-1 | Super League |
| Jul 26, 2017 | Penang(away) | 0-2 | Super League |
| Jul 22, 2017 | Melaka United(home) | 2-0 | Super League |
| Jul 15, 2017 | Pkns FC(away) | 3-1 | Super League |
What does the head-to-head say?
Across the last 3 meetings: 0 PBDKT T-Team win(s), 2 draw(s), 1 Pahang win(s).
| Date | Score | Competition |
|---|---|---|
| Jan 27, 2017 | Pahang 5-0 PBDKT T-Team | Super League |
| Oct 22, 2016 | PBDKT T-Team 1-1 Pahang | Super League |
| Feb 13, 2016 | Pahang 2-2 PBDKT T-Team | Super League |
Last archived meeting: Pahang vs PBDKT T-Team on Jan 27, 2017
How many goals should we expect?
PBDKT T-Team score 1.6 and concede 2.3 goals per match over their last 15; Pahang score 1.9 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| PBDKT T-Team | 1.6 | 2.3 | 5 | 8/15 | 12/15 |
| Pahang | 1.9 | 1.3 | 4 | 9/15 | 10/15 |
Over the last 15 matches in all competitions.
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy