Strictly Necessary
Required for login, session management, account security, device limits, referral functionality and remembering your cookie choice.
| Date | Match | Score |
|---|---|---|
| 23.08.2026 | Seoul E-Land FC - Paju Citizen | 1 : 1 |
| 11.04.2026 | Paju Citizen - Seoul E-Land FC | 1 : 3 |
| Date | Match | Score | Res |
|---|---|---|---|
| 16.08.2026 | Seoul E-Land FC - Ansan Greeners | 3 - 1 | W |
| 07.08.2026 | Hwaseong - Seoul E-Land FC | 0 - 0 | D |
| 02.08.2026 | Busan I Park - Seoul E-Land FC | 1 - 2 | W |
| 24.07.2026 | Seoul E-Land FC - Cheonan City | 4 - 3 | W |
| 18.07.2026 | Suwon City FC - Seoul E-Land FC | 2 - 2 | D |
| Date | Match | Score | Res |
|---|---|---|---|
| 16.08.2026 | Paju Citizen - Seongnam FC | 2 - 1 | W |
| 08.08.2026 | Paju Citizen - Suwon City FC | 0 - 1 | L |
| 02.08.2026 | Jeonnam Dragons - Paju Citizen | 1 - 2 | W |
| 29.07.2026 | Bucheon FC 1995 - Paju Citizen | 3 - 0 | L |
| 26.07.2026 | Paju Citizen - Ansan Greeners | 0 - 1 | L |
The upcoming match between Seoul E-Land FC and Paju Citizen is scheduled for 23.08.2026 10:30 in K League 2. The listed venue is Mokdong Stadium, Seoul. The analysis uses only stored statistics, form, head-to-head records, trend percentages and active Premium market signals. It does not guarantee a particular result.
Standings and season form
Seoul E-Land FC are in position 2 with 40 points after 20 matches. The season record is 11 wins, 4 draws and 5 losses. The goals record is 36 scored and 25 conceded. The stored form sequence is WDWWD. Paju Citizen are in position 10 with 24 points after 19 matches. The season record is 6 wins, 3 draws and 10 losses. The goals record is 19 scored and 24 conceded. The stored form sequence is WLWLD.
Seoul E-Land FC recorded 6 wins, 2 draws and 2 losses across the last 10 completed matches. The newest-to-oldest result sequence is WDWWDLWLWW. The averages are 2.10 goals scored and 1.50 goals conceded per match. Both teams scored in 80% of those matches, while 80% finished with over 2.5 goals. Paju Citizen recorded 4 wins, 1 draws and 5 losses across the last 10 completed matches. The newest-to-oldest result sequence is WLWLLDWWLL. The averages are 0.90 goals scored and 1.20 goals conceded per match. Both teams scored in 40% of those matches, while 50% finished with over 2.5 goals.
Across the last 1 head-to-head matches, Seoul E-Land FC recorded 1 wins, there were 0 draws, and Paju Citizen recorded 0 wins. The average total was 4 goals per match. Both teams scored in 100% of those matches, while 100% finished with over 2.5 goals.
The highest stored values are: Over 1.5 goals — 70%; Over 2.5 goals — 70%; Under 3.5 goals — 70%; Both teams to score — 60%; Over 0.5 first-half goals — 40%. They are statistical indicators and are not automatically converted into a prediction.
The PMV3 model classifies the leading outcome as Seoul E-Land FC to win with 61% confidence. The stored fair probabilities for home, draw and away are 60.54%, 22.40% and 17.07%. The model momentum difference is 43.47 points in favour of Seoul E-Land FC. The input data quality score is 94/100. The stored price for the selected market is 1.48 with Bet365. The stored estimated EV is -10.41%. Despite the model probability, the price is marked NO_VALUE. The signal is therefore not treated automatically as a value bet.
The discipline profile for Seoul E-Land FC at home is based on 6 matches. The team averages 2.67 yellow cards, 0.00 red cards and 2.67 total cards per match. At least 1, 2, 3, 4 and 5 cards were recorded in 100.0%, 83.3%, 33.3%, 33.3% and 16.7% of those matches respectively, while a red card occurred in 0.0%. Season card data is available for 11 of 21 completed matches (52.4% coverage). The discipline profile for Paju Citizen away from home is based on 5 matches. The team averages 3.40 yellow cards, 0.20 red cards and 3.60 total cards per match. At least 1, 2, 3, 4 and 5 cards were recorded in 100.0%, 80.0%, 80.0%, 60.0% and 40.0% of those matches respectively, while a red card occurred in 20.0%. Season card data is available for 10 of 21 completed matches (47.6% coverage).
The match between Seoul E-Land FC and Paju Citizen ended 1-1. The game produced 2 goals in total. The first half contained 0 goals. The following review compares the final result only with historical data, the discipline profile, trend values and Premium signals locked before kickoff.
Before kickoff, the stored trend indicated BTTS at 60%. The actual outcome was BTTS. The stored trend was confirmed by the result. Before kickoff, the stored trend indicated Over 1.5 at 70%. The actual outcome was Over 1.5. The stored trend was confirmed by the result. Before kickoff, the stored trend indicated Over 2.5 at 70%. The actual outcome was Under 2.5. The stored trend was not confirmed by the result. Before kickoff, the stored trend indicated Under 3.5 at 70%. The actual outcome was Under 3.5. The stored trend was confirmed by the result. Before kickoff, the stored trend indicated Under 0.5 HT at 60%. The actual outcome was Under 0.5 HT. The stored trend was confirmed by the result. Before kickoff, the stored trend indicated Under 1.5 HT at 80%. The actual outcome was Under 1.5 HT. The stored trend was confirmed by the result.
Before kickoff, the discipline profile for Seoul E-Land FC at home was based on 6 matches, with averages of 2.67 yellow cards, 0 red cards and 2.67 total cards per match. In this game, Seoul E-Land FC received 4 yellow cards and 0 red cards, 4 in total. That was 1.33 cards above the stored average. In the pre-match sample, 3+ cards occurred in 33.3% of matches, 5+ in 16.7%, and a red card in 0%. Before kickoff, the discipline profile for Paju Citizen away from home was based on 5 matches, with averages of 3.4 yellow cards, 0.2 red cards and 3.6 total cards per match. In this game, Paju Citizen received 2 yellow cards and 0 red cards, 2 in total. That was 1.6 cards below the stored average. In the pre-match sample, 3+ cards occurred in 80% of matches, 5+ in 40%, and a red card in 20%.
Of 6 verifiable pre-match indicators, 5 aligned with the final result and 1 were not confirmed. This is a post-match verification of data stored before kickoff, not a revision of the analysis after the match ended.