Will Detroit be the highest scoring team
Liquidity-weighted aggregate sits at 13% across 8 Kalshi contracts.
Implied probability
Kalshi
13%
8 contracts
Polymarket
—
not bound
Cross-venue gap
—
single venue
24h move
—
no pin
24h volume
$650
8 contracts
Closes
Jan 18, 2027
119 days
30-day trend
Bracket families
8 clusters across 8 contracts.
These contracts were grouped by title similarity. The headline aggregate combines all clusters; verify the cluster you actually need before quoting a number.
Cluster 1
Will Chicago be the highest scoring team
Will Chicago be the highest scoring team?: Chicago
KXNFLTEAMPTS-MOST27-CHI
Cluster 2
Will Atlanta be the lowest scoring team
Will Atlanta be the lowest scoring team?: Atlanta
KXNFLTEAMPTS-LEAST27-ATL
Cluster 3
Will Miami be the lowest scoring team
Will Miami be the lowest scoring team?: Miami
KXNFLTEAMPTS-LEAST27-MIA
Cluster 4
Will Dallas be the highest scoring team
Will Dallas be the highest scoring team?: Dallas
KXNFLTEAMPTS-MOST27-DAL
Cluster 5
Will Cleveland be the lowest scoring team
Will Cleveland be the lowest scoring team?: Cleveland
KXNFLTEAMPTS-LEAST27-CLE
Cluster 6
Will Baltimore be the highest scoring team
Will Baltimore be the highest scoring team?: Baltimore
KXNFLTEAMPTS-MOST27-BAL
Cluster 7
Will Cincinnati be the highest scoring team
Will Cincinnati be the highest scoring team?: Cincinnati
KXNFLTEAMPTS-MOST27-CIN
Cluster 8
Will Detroit be the highest scoring team
Will Detroit be the highest scoring team?: Detroit
KXNFLTEAMPTS-MOST27-DET
Analysis
This probability indicates a 39% chance that Detroit will score more points than all other teams in the relevant competition. The current level reflects Detroit's recent offensive output compared to competitors like Cincinnati (40% probability), New England (85% probability), and Atlanta (25% probability). Detroit's scoring probability would increase if recent games show offensive improvement or if key players return to full health, and would decrease if competing teams demonstrate stronger offensive performance. The resolution will depend on actual scoring data from upcoming games, with the specific event date and final matchup determining which team ultimately achieves the highest total.
- ›Detroit's current point-per-game average compared to Cincinnati, New England, and Atlanta across the most recent comparable period
- ›Roster availability and injury status of Detroit's key offensive players versus competitors
- ›Head-to-head offensive efficiency metrics and recent offensive trends for all four teams
- ›New England's substantially higher probability (85%) suggests significant offensive advantages that would need to shift for Detroit to become the highest scorer
- ›The contract pricing spread reflects market confidence levels, with Detroit at 5¢ versus New England at 85¢ indicating substantial perceived differences in scoring capability
What moved the line
- Sep 17Chicago↑20pp14→34¢ · Kalshi
- Sep 17Dallas↓5pp10→5¢ · Kalshi
- Sep 17Cincinnati↓5pp8→3¢ · Kalshi
- Sep 18Chicago↓3pp34→31¢ · Kalshi
- Sep 19Miami↑3pp22→25¢ · Kalshi
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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.
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