Namyangju vs Gijang United Prediction
South Korea · Regular Season - 23
AI Best Pick
Statistical forecasts for entertainment purposes only - not betting or financial advice.
Namyangju vs Gijang United: result, form and history
Namyangju beat Gijang United 2-1 in the K4 League on 3 Oct 2026. The two went into the match with similar recent form.
Match Forecasts
Both teams to score forecasts not available for this match
Goal forecasts not available for this match
Corner forecasts not available for this match
Card forecasts not available for this match
Team Comparison
Namyangju
Gijang UnitedAI Insights
Game State Tendencies
Namyangju- Leads at half-time in 60% of matches
- Starts fast - scores more in 1st half (1.1 vs 0.4 in second half)
- Concedes more in 2nd half - can tire late
Gijang United- Scores more in 2nd half (1.3 vs 0.7 in first half)
- Concedes more in 2nd half - can tire late
Recent Form
NamyangjuNamyangju
Pyeongtaek Citizen
Jinju CitizenNamyangju
Seosan PioneerNamyangju
Jungnang Chorus MustangNamyangju
Jecheon CitizenNamyangjuNamyangju
Gimpo CitizenNamyangju
HamanNamyangjuJungnang Chorus Mustang
Mokpo CityNamyangju
Daejeon KorailNamyangjuGijang UnitedGijang United
Geumsan InsamPyeongtaek CitizenGijang UnitedGijang UnitedJinju CitizenSeosan PioneerGijang UnitedJungnang Chorus MustangGijang United
Busan TransportationGijang UnitedGijang UnitedGimpo Citizen
HyochangGijang UnitedLeague Table
| # | Team | MP | W | D | L | G | GD | Pts | Form |
|---|---|---|---|---|---|---|---|---|---|
| 1 | Jinju Citizen | 22 | 16 | 3 | 3 | 51:18 | +33 | 51 | LDWLD |
| 2 |  Jincheon | 22 | 12 | 6 | 4 | 43:21 | +22 | 42 | DWDLW |
| 3 | Namyangju | 23 | 11 | 6 | 6 | 32:29 | +3 | 39 | LWDWW |
| 4 |  Geoje Citizen | 22 | 11 | 4 | 7 | 41:26 | +15 | 37 | WWWDW |
| 5 | Jungnang Chorus Mustang | 23 | 11 | 4 | 8 | 40:31 | +9 | 37 | LWLWW |
| 6 | Geumsan Insam | 22 | 9 | 8 | 5 | 35:25 | +10 | 35 | WLDDW |
| 7 | Jecheon Citizen | 22 | 8 | 7 | 7 | 29:32 | -3 | 31 | WLDLW |
| 8 |  Pyeongchang United | 22 | 9 | 3 | 10 | 30:33 | -3 | 30 | WDLWW |
| 9 |  Sejong SA | 22 | 9 | 2 | 11 | 35:49 | -14 | 29 | WLLWL |
| 10 | Gijang United | 22 | 8 | 2 | 12 | 31:43 | -12 | 26 | LLWWL |
| 11 | Haman | 22 | 6 | 2 | 14 | 23:38 | -15 | 20 | LLLWL |
| 12 | Pyeongtaek Citizen | 22 | 3 | 5 | 14 | 27:48 | -21 | 14 | LWDDL |
| 13 | Seosan Pioneer | 22 | 4 | 2 | 16 | 24:48 | -24 | 14 | DDLLL |
| # | Team | MP | G | Pts |
|---|---|---|---|---|
| 1 | Jinju Citizen | 22 | 51:18 | 51 |
| 2 | Jincheon | 22 | 43:21 | 42 |
| 3 | Namyangju | 23 | 32:29 | 39 |
| 4 | Geoje Citizen | 22 | 41:26 | 37 |
| 5 | Jungnang Chorus Mustang | 23 | 40:31 | 37 |
| 6 | Geumsan Insam | 22 | 35:25 | 35 |
| 7 | Jecheon Citizen | 22 | 29:32 | 31 |
| 8 | Pyeongchang United | 22 | 30:33 | 30 |
| 9 | Sejong SA | 22 | 35:49 | 29 |
| 10 | Gijang United | 22 | 31:43 | 26 |
| 11 | Haman | 22 | 23:38 | 20 |
| 12 | Pyeongtaek Citizen | 22 | 27:48 | 14 |
| 13 | Seosan Pioneer | 22 | 24:48 | 14 |
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About the Namyangju vs Gijang United forecast
Every forecast on this page comes from the same model inputs: team ratings, recent form, goals scored and conceded, and how these sides have fared against each other.
How to Read These Forecasts
Each percentage shows the model's calculated likelihood for that outcome. Above 65% indicates strong statistical confidence; 45-65% reflects a competitive, open match; below 45% suggests the outcome is statistically less likely. All figures are for informational and entertainment purposes only.
Namyangju and Gijang United in the K4 League table
The table shows a wide gap: Namyangju are 3rd in the K4 League, while Gijang United sit 10th, 13 points behind. League goal record so far: Namyangju 32-29, Gijang United 31-43. The full standings are on the K4 League Table 2026 page.
Key Factors for This Match
Namyangju have led at half-time in 60% of their recent matches. Namyangju and Gijang United have little recent head-to-head history for the model to draw on. Some underlying data for this fixture is limited, which the model accounts for with a lower confidence rating.
All forecasts are generated by statistical and machine learning models for informational and entertainment purposes only. They are not guaranteed and do not constitute financial or betting advice.