Dan Lanning in College Football Coach of the Year
Dan Lanning is priced at 17¢ on Kalshi. Current book: 6¢ bid, 14¢ ask, 8¢ spread. This outcome ranks #1 of 16 inside Who will win College Football Coach of the Year.
Price history
17¢ current
+12¢Contract brief
If Dan Lanning wins the Bear Bryant Coach of the Year award in 2026-27 college football season, then the market resolves to Yes.
Outcome
Dan Lanning
Rank
#1 of 16
Leader
Dan Lanning 6¢
Range
1¢-6¢
Family volume
$1K
Identifier
KXNCAAFCOTY-27-DLAN
Jun 29, 2026, 4:38 AM UTC · 22m ago
Implied probability
Bid
6¢
Ask
14¢
Spread
8¢
Reported volume
$870
Family rank
#1 of 16
16 outcomes · Who will win College Football Coach of the Year
Closes
Jan 29, 2027
Family volume
$1K
Orderbook snapshot
6 / 14¢
Contract terms
What resolves this market.
YES condition
If Dan Lanning wins the Bear Bryant Coach of the Year award in 2026-27 college football season, then the market resolves to Yes.
Venue
Kalshi
Closes
Jan 29, 2027
Identifier
KXNCAAFCOTY-27-DLAN
Event family
Who will win College Football Coach of the Year.
The same race as a probability stack: rank, volume, and where this contract sits against the other outcomes.
Total volume
$1K
Outcomes
16
Highest price
Dan Lanning 6¢
Current share
0%
Mario Cristobal
kalshi · KXNCAAFCOTY-27-MCRI
Dan Lanning
kalshi · KXNCAAFCOTY-27-DLAN
Mike Elko
kalshi · KXNCAAFCOTY-27-MELK
Lane Kiffin
kalshi · KXNCAAFCOTY-27-LKIF
Curt Cignetti
kalshi · KXNCAAFCOTY-27-CCIG
Bob Chesney
kalshi · KXNCAAFCOTY-27-BCHE
Kyle Whittingham
kalshi · KXNCAAFCOTY-27-KWHI
Bill Belichick
kalshi · KXNCAAFCOTY-27-BBEL
Brent Venables
kalshi · KXNCAAFCOTY-27-BVEN
Clark Lea
kalshi · KXNCAAFCOTY-27-CLEA
Deion Sanders
kalshi · KXNCAAFCOTY-27-DSAN
James Franklin
kalshi · KXNCAAFCOTY-27-JFRA
Josh Heupel
kalshi · KXNCAAFCOTY-27-JHUE
Jerry Mack
kalshi · KXNCAAFCOTY-27-JMAC
Joey McGuire
kalshi · KXNCAAFCOTY-27-JMCG
Jim Mora
kalshi · KXNCAAFCOTY-27-JMOR
Indicators
Yield, cliff risk, volatility, and regime.
Regime
neutral
Score
0.341
Observability
low
Event type
sports
Full indicator table
Odds pages
Related prediction questions
Related readings
Matched from SimpleFunctions blog, opinions, technical guides, concepts, and learn pages.
Liquidity Availability Is the Real Edge in Prediction Markets
Implied yield, cliff risk, and overround all describe what to trade. Liquidity Availability Score describes whether the orderbook can absorb the trade. Why LAS is the indicator that decides who actually books P&L.
Kalshi vs Polymarket: Which Prediction Market Should You Trade?
In-depth comparison of Kalshi and Polymarket for prediction market traders. Regulatory structure, liquidity, fees, API tooling, and cross-venue trading with SimpleFunctions.
Prediction Market Orderbook Analysis: Reading Depth, Spread, and Liquidity
How to read prediction market orderbooks. Binary settlement, spread-as-percentage, depth asymmetry, executable edge calculation, and cross-venue arbitrage analysis.
Kalshi vs Polymarket: A Developer's Comparison of APIs, Orderbooks, and Liquidity
Data-driven comparison of Kalshi and Polymarket APIs, orderbooks, rate limits, and liquidity. Code examples for building on both prediction markets.
Kalshi vs Polymarket: Mechanics, Fees, Regulation, Liquidity (2026)
Side-by-side comparison of Kalshi and Polymarket in 2026. Fee math, calibration data, withdrawal speed, and a decision tree for picking the right venue.
Implied Yield vs Raw Probability: Why Bond-Adjacent Prediction Markets Need a Different Lens
Why fixed-income-adjacent prediction-market contracts need to be priced in implied yield, not raw probability, with two real Kalshi Fed-decision contracts as a case study.
SimpleFunctions context
Index, screen, query, and monitor.
Prediction Market Index
Market-wide volatility, geo risk, breadth, and activity around this contract.
Market Screener
Filter adjacent contracts by volume, expiry, IY, CRI, venue, and theme.
Event Probability API
Read 17% as a structured event probability object for agents and apps.
Realtime Data API
Prices, orderbooks, movement, heat, and liquidity indicators across venues.
World State API
Compact market-aware context packets for agent sessions and scheduled refresh.
Hedging Workflows
Map a thesis or exposure to candidate event markets and monitoring paths.
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.