Gangwon FC vs Pohang Steelers: result 0-0 and analysis
K League 1Regular Season - 10Kick-off on April 29, 2018 at 07:00 AM (UTC)Gangneung Stadium, Gangneung
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What was the result of Gangwon FC vs Pohang Steelers?
Gangwon FC and Pohang Steelers drew 0-0 on April 29, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Gangwon FC have 7 wins, 1 draws and 7 defeats; Pohang Steelers have 9, 1 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 25, 2018 | Jeonbuk Motors(home) | 0-2 | K League 1 |
| Apr 21, 2018 | Jeonnam Dragons(away) | 4-1 | K League 1 |
| Apr 15, 2018 | Daegu FC(away) | 1-2 | K League 1 |
| Apr 11, 2018 | Suwon Bluewings(home) | 2-3 | K League 1 |
| Apr 8, 2018 | Ulsan Hyundai FC(away) | 1-3 | K League 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 25, 2018 | Jeju United FC(home) | 0-1 | K League 1 |
| Apr 21, 2018 | Gimcheon Sangmu FC(home) | 0-2 | K League 1 |
| Apr 15, 2018 | Gyeongnam FC(home) | 2-1 | K League 1 |
| Apr 11, 2018 | FC Seoul(away) | 1-2 | K League 1 |
| Apr 8, 2018 | Jeonbuk Motors(home) | 0-2 | K League 1 |
How many goals should we expect?
Gangwon FC score 1.7 and concede 1.5 goals per match over their last 15; Pohang Steelers score 2.0 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Gangwon FC | 1.7 | 1.5 | 2 | 12/15 | 12/15 |
| Pohang Steelers | 2.0 | 1.2 | 4 | 8/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Gangwon FC sit 4th in K League 1 (35 points from 23 matches) and Pohang Steelers sit 7th (31 points from 24 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Gangwon FC | 23 | 9 | 8 | 6 | 28 | 22 | 35 |
| 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