Pahang vs PBDKT T-Team: result 5-0 and analysis
Super LeagueRegular Season - 2Kick-off on January 27, 2017 at 01:00 PM (UTC)Stadium Darulmakmur, Kuantan
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What was the result of Pahang vs PBDKT T-Team?
Pahang won 5-0 on January 27, 2017.
Goalscorers
- 14′Mohamadou SumarehPahang
- 55′Matheus AlvesPahang
- 66′Heo Jae-WonPahang
- 74′Matheus AlvesPahang
- 85′92370Pahang
What is the recent form of both teams?
Over their last 15 matches in all competitions, Pahang have 3 wins, 6 draws and 6 defeats; PBDKT T-Team have 4, 4 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 21, 2017 | Perak(away) | 1-1 | Super League |
| Oct 22, 2016 | PBDKT T-Team(away) | 1-1 | Super League |
| Sep 24, 2016 | Penang(home) | 1-0 | Super League |
| Sep 10, 2016 | Selangor(away) | 1-0 | Super League |
| Aug 24, 2016 | Terengganu(away) | 1-1 | Super League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 21, 2017 | Sarawak FA(home) | 1-1 | Super League |
| Oct 22, 2016 | Pahang(home) | 1-1 | Super League |
| Sep 24, 2016 | Johor Darul Takzim FC(away) | 1-5 | Super League |
| Sep 10, 2016 | Felda United FC(home) | 3-2 | Super League |
| Aug 24, 2016 | Pdrm(away) | 2-1 | Super League |
What does the head-to-head say?
Across the last 2 meetings: 0 Pahang win(s), 2 draw(s), 0 PBDKT T-Team win(s).
| Date | Score | Competition |
|---|---|---|
| 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: PBDKT T-Team vs Pahang on Oct 22, 2016
How many goals should we expect?
Pahang score 0.7 and concede 1.4 goals per match over their last 15; PBDKT T-Team score 1.2 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Pahang | 0.7 | 1.4 | 4 | 6/15 | 4/15 |
| PBDKT T-Team | 1.2 | 1.7 | 3 | 10/15 | 8/15 |
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