Ulsan Hyundai FC vs Pohang Steelers: result 0-0 and analysis
K League 1Regular Season - 10Kick-off on May 14, 2016 at 06:00 AM (UTC)Ulsan Munsu Football Stadium, Ulsan
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What was the result of Ulsan Hyundai FC vs Pohang Steelers?
Ulsan Hyundai FC and Pohang Steelers drew 0-0 on May 14, 2016.
What is the recent form of both teams?
Over their last 9 matches in all competitions, Ulsan Hyundai FC have 3 wins, 2 draws and 4 defeats; Pohang Steelers have 4, 5 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 5, 2016 | Seongnam FC(home) | 0-3 | K League 1 |
| May 1, 2016 | Incheon United(away) | 1-0 | K League 1 |
| Apr 24, 2016 | FC Seoul(home) | 1-2 | K League 1 |
| Apr 17, 2016 | Jeju United FC(home) | 0-1 | K League 1 |
| Apr 13, 2016 | Suwon City FC(away) | 1-1 | K League 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 8, 2016 | FC Seoul(away) | 3-1 | K League 1 |
| May 3, 2016 | Urawa(away) | 1-1 | AFC Champions League Elite |
| Apr 30, 2016 | Jeju United FC(home) | 1-0 | K League 1 |
| Apr 24, 2016 | Jeonnam Dragons(home) | 0-1 | K League 1 |
| Apr 19, 2016 | Guangzhou Evergrande FC(home) | 0-2 | AFC Champions League Elite |
How many goals should we expect?
Ulsan Hyundai FC score 0.8 and concede 1.1 goals per match over their last 9; Pohang Steelers score 0.9 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ulsan Hyundai FC | 0.8 | 1.1 | 3 | 3/9 | 3/9 |
| Pohang Steelers | 0.9 | 1.0 | 4 | 5/15 | 2/15 |
Over the last 9 matches in all competitions.
Where do both teams sit in the table?
Ulsan Hyundai FC sit 2nd in K League 1 (37 points from 24 matches) and Pohang Steelers sit 7th (31 points from 24 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Ulsan Hyundai FC | 24 | 11 | 4 | 9 | 37 | 34 | 37 |
| 7 | Pohang Steelers | 24 | 9 | 4 | 11 | 22 | 28 | 31 |
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