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Seongnam FC vs Daegu FC Prediction, Odds & Betting Tips - 07-11-2026
Nov 705:00
Match Prediction
Expected score: Seongnam FC 1-2 Daegu FC
Seongnam FCDrawDaegu FC
Over 2.5 goalsYes (61%)
Both teams to scoreYes (59%)
Seongnam FC face Daegu FC on 2026-11-07 (K League 2 — Regular Season - 32).
Our statistical model rates this match as shown in the summary above, with 1-2 the most likely scoreline.
Limited data is available for this fixture; the figures above are model estimates.
Match info
Statistics
Odds Comparison
Recent Form
Seongnam FC
D
L
L
L
D
Daegu FC
D
W
W
L
W
Injuries & Suspensions
Lineups
Standings
| # | Team | MP | W | D | L | PTS |
|---|---|---|---|---|---|---|
| 1 |  Suwon Bluewings | 29 | 19 | 6 | 4 | 63 |
| 2 |  Suwon City FC | 29 | 16 | 9 | 4 | 57 |
| 3 |  Seoul E-Land FC | 29 | 16 | 6 | 7 | 54 |
| 4 |  Daegu FC | 29 | 15 | 8 | 6 | 53 |
| 5 |  Busan I Park | 29 | 14 | 6 | 9 | 48 |
| 6 |  Hwaseong | 30 | 12 | 9 | 9 | 45 |
| 7 |  Asan Mugunghwa | 29 | 11 | 9 | 9 | 42 |
| 8 |  Gimpo Citizen | 29 | 9 | 11 | 9 | 38 |
| 9 |  Gyeongnam FC | 29 | 9 | 11 | 9 | 38 |
| 10 |  Paju Citizen | 29 | 9 | 7 | 13 | 34 |
| 11 |  Yongin City | 29 | 7 | 12 | 10 | 33 |
| 12 |  Cheongju | 30 | 6 | 14 | 10 | 32 |
| 13 |  Seongnam FC | 29 | 7 | 11 | 11 | 32 |
| 14 |  Cheonan City | 29 | 6 | 12 | 11 | 30 |
| 15 |  Jeonnam Dragons | 29 | 5 | 10 | 14 | 25 |
| 16 |  Ansan Greeners | 30 | 7 | 4 | 19 | 25 |
| 17 |  Gimhae City | 29 | 3 | 9 | 17 | 18 |
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Seongnam FC vs Daegu FC - Football Prediction & Betting Tips
Expert Seongnam FC vs Daegu FC football prediction on bettinglike.top combines tactical formation analysis with goal-scoring trends. Our model evaluates penalty statistics, clean sheet records, goalkeeper form, defensive line organization and home-field advantage to identify value in match outcomes and goal markets.
Our football prediction methodology analyzes formation matchups, transition efficiency, set-piece vulnerability and injury impact on tactical setup. Compare odds from multiple bookmakers and discover predictions backed by analysis of goal-line actions, corner conversion rates and defensive pressure patterns across multiple possession phases.