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K League 1 · Regular Season - 10

Gangwon FC

⚽ A. Hleihel 90'
1:2
FT HT 0 – 1

FC Seoul

⚽ H. Babec 42' ⚽ Lee Seung-Mo 81'

Kick-off

Sat 25 Apr 2026

05:00

Venue

Chuncheon Songam Stadium

Competition

K League 1

South-Korea

Status

FT
📰

Last-gasp drama as Gangwon FC snatch the points — Gangwon FC 1-2 FC Seoul.

📝 Match Report

How It Unfolded

FC Seoul found a late winner to edge Gangwon FC 1-2 at Chuncheon Songam Stadium, Regular Season - 10, in the K League 1. It was 0-1 at the break, with 2 further goals after it. A red card featured along the way. Scorers: H. Babec (42') · Lee Seung-Mo (81') · A. Hleihel (90'). That is the bare outline; the rest of this report grades it against what the data forecast beforehand.

The Model vs The Result

The Poisson model went into this projecting Gangwon FC 1.15 xG and FC Seoul 1.40 xG, a combined 2.55. The scoreboard read 1-2 for 3 actual goals. Both sides finished within a goal of their individual projections, so the scoreline sat close to the model's expected shape. Those figures were built on strength ratings of Gangwon FC attack 1.11 / defence 0.90 against FC Seoul attack 1.34 / defence 0.91, drawn from 42/42 games (CurrentSeason).

On the result, the model split it Gangwon FC 28% | Draw 31% | FC Seoul 40%, with FC Seoul to win its most likely call at 40%. The scoreboard confirmed the model's leading pick.

Goals & Markets

The model rated Over 2.5 goals at 47%. The game delivered 3, so it went over — a miss for the goals model. Over 1.5 had been 75% and landed. On both teams to score, the model sat at 54% and the match saw both sides score — another call in the model's favour. Historically the two sides average 48% Over 2.5 across their same-competition games (Gangwon FC 49%, FC Seoul 47%), a base rate that pointed the other way from today's over. Their combined BTTS history runs at 54%, which matched the both-scored outcome.

Trading Patterns vs Reality

Gangwon FC's trading profile (76 games, 38 home) set some clear expectations: they score before half-time in 63% of games, and here they did not; BTTS lands in 50% of their matches — today it did; they keep a clean sheet 30% of the time, and conceded here.

FC Seoul's trading profile (76 games, 38 away) set some clear expectations: they score before half-time in 62% of games, and here they did; BTTS lands in 58% of their matches — today it did; they keep a clean sheet 33% of the time, and conceded here.

Form vs Result

The form lines were close — Gangwon FC 1.53 PPG, FC Seoul 1.41 PPG — offering no strong steer, and the FC Seoul win broke the near-deadlock. Gangwon FC (home/away splits) shipped 2 against a 1.11 concession average — a leakier day than usual. FC Seoul (home/away splits) scored 2 against a 1.16 average — above their attacking norm.

In-Play Signals

FC Seoul controlled the ball (52%). That matched the side the model favoured, and they converted the territory into the win the numbers expected. Gangwon FC shot more often (17 to 7, 4 on target). FC Seoul were the sharper finishers, converting at 29% against 6% — the kind of finishing edge that decides games the underlying numbers call close. The scoring opened before half-time (0-1 at the interval). 2 of the 3 goals arrived after the restart.

Verdict

Grading the result against the stored data, 2 of 3 pre-match signals came in: result (hit), Over 2.5 (miss), BTTS (hit). A mixed scorecard — the data caught the broad shape of the game but not every market. With the decisive goal arriving late, the fixture spent most of its length tracking closer to expectation than the final scoreline suggests.

💡 Key Insights

Shots Gangwon FC mustered 17 total shots — a significant volume advantage.
Set Pieces The match produced 10 corners combined — set-piece delivery was a key feature of this game.
Efficiency FC Seoul converted 29% of shots vs Gangwon FC's 6% — clinical finishing was the difference.
Discipline 34 total fouls committed — a physically combative encounter.
Prediction Model correctly called FC Seoul to win — prediction accuracy confirmed.
Model Goals market defied the model — 47% Over 2.5 probability, but 3 goals scored.
Model BTTS matched the model — 54% projected, both teams scored.
Trading Trading data bucked — 48% historical Over 2.5 rate, but the game went over.

⚡ Key Moments

⚽️
42'
Goal

H. Babec

H. Babec found the back of the net to make it 0-1, assisted by J. Son. Breaking the deadlock at this stage was a pivotal moment, handing FC Seoul the initiative.

📺
45+4'
VAR Decision

Card upgrade

The Video Assistant Referee intervened at 45+4' — Card upgrade. The VAR check confirmed the on-field decision, allowing play to continue.

📺
45+4'
VAR Decision

Card upgrade

The Video Assistant Referee intervened at 45+4' — Card upgrade. The VAR check confirmed the on-field decision, allowing play to continue.

🟥
45+6'
Red Card

Song Jun-Seok

Song Jun-Seok from Gangwon FC was dismissed in the 45+6', leaving their side to play out the remainder of the game with ten men. This red card fundamentally altered the tactical shape and would prove a significant factor in how the match concluded.

🟥
45+6'
Red Card

Son Jeong-beom

Son Jeong-beom from FC Seoul was dismissed in the 45+6', leaving their side to play out the remainder of the game with ten men. This red card fundamentally altered the tactical shape and would prove a significant factor in how the match concluded.

⚽️
81'
Goal

Lee Seung-Mo

Lee Seung-Mo found the back of the net to make it 0-2, assisted by Cho Young-Wook. This extended FC Seoul's lead to 2 and effectively made the result safe.

⚽️
90'
Goal

A. Hleihel

A. Hleihel found the back of the net to make it 1-2. A goal against the run of play for Gangwon FC — coming from behind to level matters.

📊 Statistics

Gangwon FC FC Seoul
48% Ball Possession 52%
17 Total Shots 7
4 Shots on Goal 2
6 Shots off Goal 3
7 Blocked Shots 2
7 Corner Kicks 3
3 Offsides 0
23 Fouls 11
5 Yellow Cards 0
1 Red Cards 1
0 Goalkeeper Saves 3
339 Total passes 382
253 Passes accurate 306
75% Passes % 80%

⚠️ This match report is generated algorithmically from official fixture data. All statistics, events and player data are sourced from the match record. Analysis is for informational purposes only.