Gijang United vs Sejong SA: result 1-0 and analysis
K4 LeagueMatchday 11Kick-off on May 17, 2026 at 05:00 AM (UTC)
Full time
What was the result of Gijang United vs Sejong SA?
Gijang United won 1-0 on May 17, 2026.
What is the recent form of both teams?
Over their last 11 matches in all competitions, Gijang United have 4 wins, 1 draw and 6 defeats; Sejong SA have 5, 2 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 9, 2026 | Namyangju(home) | 2-1 | K4 League |
| May 2, 2026 | Geumsan Insam(away) | 0-0 | K4 League |
| Apr 19, 2026 | Pyeongtaek Citizen(away) | 2-0 | K4 League |
| Apr 12, 2026 | Jinju Citizen(away) | 0-2 | K4 League |
| Apr 4, 2026 | Seosan Pioneer(home) | 4-2 | K4 League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 10, 2026 | Pyeongtaek Citizen(home) | 2-2 | K4 League |
| May 3, 2026 | Jinju Citizen(away) | 0-4 | K4 League |
| Apr 26, 2026 | Seosan Pioneer(away) | 0-1 | K4 League |
| Apr 18, 2026 | Jungnang Chorus Mustang(away) | 3-1 | K4 League |
| Apr 11, 2026 | Jecheon Citizen(home) | 0-0 | K4 League |
How many goals should we expect?
Gijang United score 1.3 and concede 1.6 goals per match over their last 11; Sejong SA score 1.3 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Gijang United | 1.3 | 1.6 | 3 | 4/11 | 7/11 |
| Sejong SA | 1.3 | 1.5 | 3 | 5/12 | 8/12 |
Over the last 11 matches in all competitions.
Where do both teams sit in the table?
Gijang United sit 10th in K4 League (29 points from 23 matches) and Sejong SA sit 9th (30 points from 23 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Sejong SA | 23 | 9 | 3 | 11 | 37 | 51 | 30 |
| 10 | Gijang United | 23 | 9 | 2 | 12 | 33 | 44 | 29 |
A question about Gijang United vs Sejong SA?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy