K League 2 predicted table 2026
South Korea · The rest of the season simulated 10,000 times · updated 22 October 2026
- Suwon Bluewings are the most likely K League 2 champions, finishing first in 92% of 10,000 simulations (projected 71 points; Suwon FC next on 7%).
- Gimhae (>99%), Ansan Greeners (93%), Jeonnam (60%) are more likely than not to finish in the bottom 3 places.
| # | Team | P | Pts now | Proj. pts | Title | Top 4 | Bottom 3 | Most likely |
|---|---|---|---|---|---|---|---|---|
| 1 | Suwon Bluewings | 28 | 62 | 7167–75 | 92% | >99% | 0% | 1st (92%) |
| 2 | Suwon FC | 28 | 55 | 6562–68 | 7% | >99% | 0% | 2nd (76%) |
| 3 | Seoul E-Land | 28 | 54 | 6158–64 | <1% | >99% | 0% | 3rd (65%) |
| 4 | Daegu | 27 | 49 | 5854–62 | <1% | 92% | 0% | 4th (71%) |
| 5 | Busan | 28 | 45 | 5248–55 | 0% | 4% | 0% | 6th (46%) |
| 6 | Hwaseong | 29 | 45 | 5148–55 | 0% | 4% | 0% | 5th (47%) |
| 7 | Gimpo FC | 27 | 38 | 4643–50 | 0% | <1% | 0% | 7th (65%) |
| 8 | Asan | 28 | 36 | 4239–46 | 0% | 0% | 0% | 8th (49%) |
| 9 | Gyeongnam | 27 | 35 | 4036–43 | 0% | 0% | 0% | 9th (35%) |
| 10 | Seongnam | 27 | 31 | 3834–41 | 0% | 0% | 1% | 10th (24%) |
| 11 | Paju Frontier | 27 | 30 | 3733–40 | 0% | 0% | 4% | 11th (21%) |
| 12 | Cheongju | 28 | 32 | 3633–39 | 0% | 0% | 4% | 12th (25%) |
| 13 | Cheonan City | 28 | 27 | 3430–37 | 0% | 0% | 18% | 13th (24%) |
| 14 | Yongin | 28 | 28 | 3430–37 | 0% | 0% | 20% | 14th (27%) |
| 15 | Jeonnam | 28 | 25 | 3128–35 | 0% | 0% | 60% | 15th (43%) |
| 16 | Ansan Greeners | 28 | 25 | 2825–31 | 0% | 0% | 93% | 16th (77%) |
| 17 | Gimhae | 28 | 15 | 1916–22 | 0% | 0% | >99% | 17th (>99%) |
Order = average final points across all simulations. Proj. pts shows the average and the 10th–90th percentile range. Percentages are the share of simulations in which the club finishes in that zone.
How this table is made
Every club gets an attack and a defence rating from a Dixon-Coles model fitted to the league's results (recent matches weigh more). Each of the 40 remaining scheduled fixtures is then played out 10,000 times by sampling a scoreline from the model, and the final table of each run is recorded. Ties are separated by goal difference, then goals scored; head-to-head rules, point deductions and split rounds are not modelled. This is a statistical projection, not a tip.
How good are the model's probabilities? Its match forecasts are scored publicly, every match, on the calibration record.
Use this table
Free to republish with credit and a link to this page (CC BY 4.0). Journalists: contact@football-charts.com for a club-specific version.
