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Poisson model rates FC Seoul at 59%, yet other data sources diverge — this Jeju United FC vs FC Seoul fixture contains genuine analytical tension.

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Fixture Analysis

It is a K League 1 clash, Regular Season - 13 as Jeju United FC welcome FC Seoul to Jeju World Cup Stadium. Kick-off is set for Saturday 9 May 2026 at 05:00 UTC.

Recent Form

Across all K League 1 games this season, Jeju United FC have gone 4W 2D 4L from 10 outings — a 1.40 PPG return. Last five: L D W W W. They are averaging 1.30 goals per game and conceding 1.40 — a modest attacking output that tempers optimism on the Over 2.5 market. 3 clean sheets from 10 outings provides some defensive foundation. Both teams have scored in 60% of their games — a high BTTS rate that carries real weight in the goals markets.

Jeju United FC's home record at Jeju World Cup Stadium: 3W 3D 4L from 10 K League 1 appearances (1.20 PPG). At home they are averaging 1.30 goals scored and 1.20 conceded per game.

Looking at all fixtures this season, FC Seoul stand at 2W 3D 5L from 10 K League 1 matches — 0.90 PPG. Last five: W L D L L. They are scoring at 1.50 per game and conceding 1.70. 2 clean sheets from 10 outings suggests some defensive organisation. Both teams have scored in 80% of their matches this season — one of the stronger BTTS rates in the division, making Yes a well-evidenced play.

When travelling in K League 1 this season, FC Seoul have posted 2W 3D 5L from 10 away outings — 0.90 PPG. Away from home they average 1.40 goals scored and 2.00 conceded per game. Both teams have scored in 80% of their away matches — a high BTTS rate on the road that directly informs this fixture.

The form comparison is too close to call — 1.40 PPG (Jeju United FC) versus 0.90 (FC Seoul). When the figures are this level, no pick can be reliably derived from recent results alone.

H2H

The rivalry is an even one: 4 wins apiece for Jeju United FC, 4 for FC Seoul and 1 shared spoils from 9 past contests. Neither side holds a meaningful historical edge.

Goals have been a feature of this fixture. The last 9 meetings have averaged 2.9 per game — a rate that gives the Over 2.5 market a solid historical foundation. The most recent clash, on 15 Mar 2026, ended 1–2 with FC Seoul winning.

With the win record balanced, the strongest H2H-derived signal is in the goals market. At 2.9 goals per game historically, Over 2.5 is the cleaner angle to extract from the head-to-head data.

Season Statistics

Jeju United FC's full-season record stands at 12W 9D 19L from 40 games. Their scoring output is 1.1 per match with 1.3 conceded on average. Biggest win: 2-0 (H) / 1-3 (A). Heaviest defeat: 0-3 (H) / 3-1 (A). Their best winning run this season has been 3 consecutive games. Longest draw run: 2 games. Worst losing run: 4 consecutive games. They have failed to score in 11 games this season. 11 clean sheets this season (7 at home, 4 away). Scored 2+ goals in 3 of 40 games (8%). Penalties this season: 3 scored / 0 missed from 3 awarded. Most used formation: 4-3-3. Discipline: 2.0 yellow cards per game, 0.22 reds per game.

FC Seoul's cumulative K League 1 record this campaign: 12W 13D 13L from 38 matches. Their scoring output is 1.3 per match with 1.4 conceded on average. Biggest win: 4-1 (H) / 1-3 (A). Heaviest defeat: 1-3 (H) / 6-2 (A). Their best winning run this season has been 2 consecutive games. Longest draw run: 2 games. Worst losing run: 3 consecutive games. They have failed to score in 8 games this season. 11 clean sheets this season (3 at home, 8 away). Scored 2+ goals in 6 of 38 games (16%). Penalties this season: 3 scored / 0 missed from 3 awarded. Most used formation: 4-4-2. Discipline: 1.7 yellow cards per game.

Penalty activity: Jeju United FC 3/3 vs FC Seoul 3/3 this season.

In-Play Data

Jeju United FC trading profile (76 games, 37 at home): they score before half-time in 57% of fixtures in home games; when goalless at HT, a second-half goal follows 88% of the time; BTTS occurs in 40% of their matches (home games); Over 2.5 goals lands in 40% of games (home games).

FC Seoul trading profile (76 games, 37 at away): they score before half-time in 51% of fixtures in away games; when goalless at HT, a second-half goal follows 69% of the time; BTTS occurs in 51% of their matches (away games); Over 2.5 goals lands in 40% of games (away games).

BTTS rates are mixed from the trading data — Jeju United FC 47% versus FC Seoul 58%; no strong lean in either direction. The over/under 2.5 picture is inconclusive from the in-play data (Jeju United FC 45% | FC Seoul 47%).

Poisson Model

The Poisson distribution model projects Jeju United FC 0.77 xG and FC Seoul 1.73 xG. These expected goals figures are the primary input: they feed a goal-probability matrix across all scoreline combinations to derive the result and market probabilities below. Underlying strength ratings: Jeju United FC attack 0.769 / defence 1.009 | FC Seoul attack 1.296 / defence 0.965. League average goals — home 1.031 / away 1.321. Jeju United FC's attack strength of 0.769 is below the league average — the 0.77 xG projection reflects a team that scores at a discount to the division norm. FC Seoul have an above-average attack strength of 1.296 — the away xG of 1.73 is driven by genuine attacking quality on the road. Data: 45 Jeju United FC games / 45 FC Seoul games used (CurrentSeason).

Result probabilities: Jeju United FC 15% | Draw 26% | FC Seoul 59%. Fair-value odds: Jeju United FC 6.67 | Draw 3.85 | FC Seoul 1.69. The model has a clear lean to FC Seoul (59%) — a 44pp gap over the next-most-likely outcome reflects a meaningful statistical advantage.

Goals markets: Over 2.5 probability 45% | BTTS probability 45% | Total xG 2.49. Under 2.5 has a narrow probability edge at 55% — total xG of 2.49 is below the line but not decisively so. BTTS probability of 45% is moderate — neither team is projected to score with enough certainty to make Yes a clear standalone call.

Our Verdict

Poisson rates FC Seoul as the most likely outcome at 59% — clear model lean. Draw No Bet is worth pricing alongside the outright: 26% draw probability makes the stalemate a live outcome even at this conviction level.

On the goals line, Poisson's 2.49 combined xG gives a 45% probability to Under 2.5 — Poisson-only — limited corroboration — though form averaging only 3.0 goals per game and H2H averaging only 2.9 goals per meeting point in the other direction.

Poisson assigns a 45% probability to BTTS No based on the attack/defence strength model. This conflicts with form data: Jeju United FC 50% | FC Seoul 80% from recent games — a notable divergence.

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