Techiman City vs New Edubiase: result 3-0 and analysis
Premier LeagueRegular Season - 25Kick-off on August 17, 2016 at 03:00 PM (UTC)Ohene Ameyaw Park, Techiman
Full time
What was the result of Techiman City vs New Edubiase?
Techiman City won 3-0 on August 17, 2016.
Goalscorers
- 24′Bismark IdanNew Edubiase
- 55′257282Techiman City
- 76′Tawfik MohammedNew Edubiase
What is the recent form of both teams?
Over their last 15 matches in all competitions, Techiman City have 4 wins, 4 draws and 7 defeats; New Edubiase have 3, 4 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 13, 2016 | Hearts of Oak(away) | 1-1 | Premier League |
| Aug 7, 2016 | Ebusua Dwarfs(home) | 0-1 | Premier League |
| Jul 31, 2016 | Medeama(home) | 1-0 | Premier League |
| Jul 27, 2016 | Bechem United(away) | 0-2 | Premier League |
| Jul 23, 2016 | Inter Allies(home) | 2-0 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 13, 2016 | WAFA(home) | 1-1 | Premier League |
| Aug 7, 2016 | Ashanti Gold(away) | 0-2 | Premier League |
| Jul 27, 2016 | Asante Kotoko(home) | 2-1 | Premier League |
| Jul 23, 2016 | Berekum Chelsea(away) | 1-2 | Premier League |
| Jul 20, 2016 | Hasaacas(home) | 0-0 | Premier League |
What does the head-to-head say?
Across the last 1 meetings: 0 Techiman City win(s), 1 draw(s), 0 New Edubiase win(s).
| Date | Score | Competition |
|---|---|---|
| Apr 3, 2016 | New Edubiase 2-2 Techiman City | Premier League |
Last archived meeting: New Edubiase vs Techiman City on Apr 3, 2016
How many goals should we expect?
Techiman City score 0.9 and concede 1.3 goals per match over their last 15; New Edubiase score 0.7 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Techiman City | 0.9 | 1.3 | 3 | 6/15 | 2/15 |
| New Edubiase | 0.7 | 1.3 | 2 | 7/15 | 4/15 |
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