Aarhus GF vs. Sønderjyske Fodbold - More Markets
Liquidity-weighted aggregate sits at 44% across 7 Polymarket contracts.
Implied probability
Kalshi
—
not bound
Polymarket
44%
7 contracts
Cross-venue gap
—
single venue
24h move
—
no pin
24h volume
$906
7 contracts
Closes
May 6, 2026
0 days
30-day trend
Bracket families
7 clusters across 7 contracts.
These contracts were grouped by title similarity. The headline aggregate combines all clusters; verify the cluster you actually need before quoting a number.
Heads-up — heterogeneous clusters
The top two clusters share only 22% of their title tokens — “Kawasaki Frontale vs. Tōkyō Verdy - More Markets: Tōkyō Verdy” vs “Beijing Guoan FC vs. Dalian Yingbo FC - More Markets: O/U 2.5”. The headline aggregate weights both, so the number on this page is meaningful only if the clusters resolve to the same question.
Cluster 1
Kawasaki Frontale vs. Tōkyō Verdy - More Markets: Tōkyō Verdy
Kawasaki Frontale vs. Tōkyō Verdy - More Markets: Tōkyō Verdy (-1.5)
0x2ae2eb…68c8
Cluster 2
Beijing Guoan FC vs. Dalian Yingbo FC - More Markets: O/U 2.5
Beijing Guoan FC vs. Dalian Yingbo FC - More Markets: O/U 2.5
0xd0a2f0…02d4
Cluster 3
Yunnan Yukun FC vs. Zhejiang Zhiye FC - More Markets: O/U 2.5
Yunnan Yukun FC vs. Zhejiang Zhiye FC - More Markets: O/U 2.5
0xc6f8d0…d7bf
Cluster 4
Wuhan San Zhen FC vs. Qingdao Hainiu FC - More Markets: O/U 2.5
Wuhan San Zhen FC vs. Qingdao Hainiu FC - More Markets: O/U 2.5
0x4612ca…3182
Cluster 5
Shanghai Haigang FC vs. Shenzhen Xinpengcheng FC - More Markets: O/U 2.5
Shanghai Haigang FC vs. Shenzhen Xinpengcheng FC - More Markets: O/U 2.5
0x64562d…92f6
Cluster 6
Vanraure Hachinohe FC vs. Shōnan Bellmāre - More Markets: O/U 3.5
Vanraure Hachinohe FC vs. Shōnan Bellmāre - More Markets: O/U 3.5
0xf8c905…86be
Cluster 7
Punjab FC vs. Chennaiyin FC - More Markets: Punjab FC
Punjab FC vs. Chennaiyin FC - More Markets: Punjab FC (-1.5)
0xea81e1…2c80
Analysis
This probability represents the market's assessment that the Aarhus GF vs. Sønderjyske Fodbold match will produce more markets (likely over 2.5 total goals). At 39%, traders are pricing this as less likely than not. The level reflects typical defensive patterns in Danish Superliga fixtures, where both teams' recent form, injury status, and attacking capability influence goal expectations. Sønderjyske's scoring consistency and Aarhus's defensive record are primary inputs shaping the odds. The match itself—scheduled as a regular-season contest—will definitively resolve the outcome, making actual team performance and lineup decisions the critical unknowns before kickoff.
- ›Sønderjyske's average goals per game this season compared to their opponent's defensive record
- ›Aarhus GF's recent injury status, particularly among key defenders or midfielders affecting transition play
- ›Head-to-head goal totals in previous Aarhus-Sønderjyske matchups and overall league scoring trends
- ›Weather conditions and pitch state on match day, which materially affect pace and chance creation in Danish football
- ›Team motivation levels based on final standings implications if the match occurs late in the season
What moved the line
- May 6Tōkyō Verdy (-1.5)↓20pp26→6¢ · Polymarket
- May 6O/U 3.5↓20pp40→20¢ · Polymarket
- May 6O/U 2.5↑9pp62→71¢ · Polymarket
- May 6Punjab FC (-1.5)↓3pp37→34¢ · 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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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: 2 d ago.