Gimcheon Sangmu FC vs. Incheon United FC - More Markets
Leader sits at 72% across 9 bound outcomes, runner-up at 53%. This is a winner-take-all market — the headline is the leader’s price, not an arithmetic mean.
Leader probability
O/U 1.5
Outcomes
9
winner-take-all
Runner-up
53¢
Both Teams to Score
Spread
19pp
contested
24h volume
$464
thin orderbook
Closes
May 9, 2026
0 days
Venue
Polymarket
9 bound
30-day trend
Bracket family
How the bracket ladder is priced.
Each row is one outcome on the venue. Sorted by 24h volume — the heaviest book is at the top.
Cluster 1
Gimcheon Sangmu FC vs. Incheon United FC - More Markets
Gimcheon Sangmu FC vs. Incheon United FC - More Markets: O/U 4.5
0x516f87…9620
Gimcheon Sangmu FC vs. Incheon United FC - More Markets: O/U 2.5
0xa64291…90ac
Gimcheon Sangmu FC vs. Incheon United FC - More Markets: Both Teams to Score
0xc5a45e…a2dc
Gimcheon Sangmu FC vs. Incheon United FC - More Markets: O/U 1.5
0xa65b3f…b667
Gimcheon Sangmu FC vs. Incheon United FC - More Markets: O/U 3.5
0x82ebfb…0d90
Gimcheon Sangmu FC vs. Incheon United FC - More Markets: Incheon United FC (-2.5)
0x9082af…b1ea
Gimcheon Sangmu FC vs. Incheon United FC - More Markets: Gimcheon Sangmu FC (-2.5)
0xf3e5e2…29e8
Gimcheon Sangmu FC vs. Incheon United FC - More Markets: Incheon United FC (-1.5)
0x532789…8de5
Gimcheon Sangmu FC vs. Incheon United FC - More Markets: Gimcheon Sangmu FC (-1.5)
0x1f8f36…98af
Analysis
The 65% probability indicates markets expect Gimcheon Sangmu FC versus Incheon United FC to exceed 1.5 total goals scored. The market structure reveals fragmented liquidity across multiple outcome contracts—goals under 1.5, over 3.5, and various goal-spread markets—with no single contract dominating price discovery. The lean toward over 1.5 goals reflects baseline expectations about K League scoring patterns, though the runner-up contract at 54% (likely an alternative total or spread) suggests meaningful disagreement about the match's offensive output. Resolution depends on the match outcome itself, which would determine the final goal total. Currently, zero trading volume in the past 24 hours indicates minimal recent price revision, suggesting either stable expectations or low market participation at current price levels.
- ›The O/U 1.5 contract leads at 65%, while O/U 3.5 trades at 36%, indicating asymmetric probability distribution across goal thresholds
- ›Gimcheon Sangmu FC spread contracts (−1.5 at 34¢, −2.5 at 29¢) trade higher than Incheon United equivalents (28-29¢), reflecting either stronger expected performance or market sentiment favoring Gimcheon
- ›Zero 24-hour trading volume across all contracts suggests the market lacks active liquidity to validate or challenge current price levels
- ›The difference between the leader (65%) and runner-up (54%) indicates meaningful uncertainty—no consensus on whether the match will be low-scoring or goal-heavy
- ›K League 2 matches typically average 2.5–3.2 goals per game; final probability should anchor to historical scoring norms for these specific clubs
What moved the line
- May 7Incheon United FC (-2.5)↓9pp16→7¢ · Polymarket
- May 8Gimcheon Sangmu FC (-2.5)↓4pp10→6¢ · Polymarket
- May 7O/U 4.5↓3pp14→11¢ · Polymarket
- May 7Gimcheon Sangmu FC (-1.5)↓3pp20→17¢ · Polymarket
- May 7Gimcheon Sangmu FC (-2.5)↓3pp13→10¢ · Polymarket
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These markets stopped trading. Last odds and any captured outcome are shown above — full settlement detail lives at the venue.
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In general
How we compute these odds
SimpleFunctions aggregates live prediction-market contracts from Kalshi and Polymarket. Each slug groups contracts that resolve on the same underlying event, identified by venue event_id.
For binary slugs, the headline probability is the liquidity-weighted mid-price across all bound contracts. For multi-outcome slugs (e.g. elections with 3+ candidates), the headline is the leader’s price; we never arithmetically average disjoint outcomes — that would produce a number with no real-world meaning.
Snapshots refresh every 5 minutes during market hours; daily aggregates are computed at 04:00 UTC. The 30-day sparkline is drawn from per-ticker daily means stored in market_indicator_daily; 24h delta and movement events are derived from the same source.
Last updated on this page: 3 h ago.