K League 1 ·
Bucheon FC 1995 meet Pohang Steelers in the K League 1. Our model gives Bucheon FC 1995 a 32% chance of winning, the draw 28% and Pohang Steelers 41%. Pohang Steelers average 1.3 goals away; Bucheon FC 1995 concede 1.6 at home. Season goal averages point to 1.3-1.5 (2.7 total). Bucheon FC 1995 average 1.0 goals at home; Pohang Steelers concede 1.5 away. Both teams to score is rated at 51% and over 2.5 goals at 46%. These are probabilities, not guarantees, and prices can move before kick-off.
Under 3.5 goals
Model 75% · fair 1.34
1.25
Bucheon FC 1995 or Pohang Steelers (no draw)
Model 72% · fair 1.39
1.36
Draw or Pohang Steelers
Model 68% · fair 1.46
1.36
Over 3.5 goals
Model 25% · fair 3.96
4.10
Value +3.5%
Value is model probability x odds - 1. See every match on the value bets board.
| Selection | Model | Fair | Best |
|---|---|---|---|
| Bucheon FC 1995 to winFair +1.9% | 32% | 3.14 | 3.20 |
| DrawShort -9.1% | 28% | 3.63 | 3.30 |
| Pohang Steelers to winShort -3.3% | 41% | 2.46 | 2.38 |
| Selection | Model | Fair |
|---|
18+ only. ArtificialAcca shows probabilities, not guarantees: accumulators lose far more often than single bets, so never stake more than you can afford to lose. Free support is available at BeGambleAware.org.
| Best |
|---|
| Bucheon FC 1995 or drawShort -3.4% | 60% | 1.68 | 1.62 |
|---|---|---|---|
| Bucheon FC 1995 or Pohang Steelers (no draw)Short -2.1% | 72% | 1.39 | 1.36 |
| Draw or Pohang SteelersShort -7.0% | 68% | 1.46 | 1.36 |
| Selection | Model | Fair | Best |
|---|---|---|---|
| Both teams to scoreShort -2.7% | 51% | 1.95 | 1.90 |
| Both teams not to scoreShort -7.3% | 49% | 2.05 | 1.90 |
| Selection | Model | Fair | Best |
|---|---|---|---|
| Over 1.5 goalsShort -3.7% | 71% | 1.41 | 1.36 |
| Under 1.5 goalsShort -9.4% | 29% | 3.42 | 3.10 |
| Over 2.5 goalsShort -2.1% | 46% | 2.20 | 2.15 |
| Under 2.5 goalsShort -7.4% | 54% | 1.84 | 1.70 |
| Over 3.5 goalsValue +3.5% | 25% | 3.96 | 4.10 |
| Under 3.5 goalsShort -6.6% | 75% | 1.34 | 1.25 |
Fair odds are 1 divided by the model probability. Best is the best price found at the last update and can move before kick-off.