Curt Cignetti out before Feb 1, 2027: Curt Cignetti · KXNCAAFCOACHOUT-27FEB01
Curt Cignetti out before Feb 1, 2027: Curt Cignetti is priced at 5¢ on Kalshi. Current book: 4¢ bid, 9¢ ask, 5¢ spread. This outcome ranks #15 of 16 inside KXNCAAFCOACHOUT-27FEB01.
Price history
5¢ current
−4¢Contract brief
If the head coach of the Indiana college football team leaves, or announces they will leave, before Feb 1, 2027, then the market resolves to Yes.
Outcome
Curt Cignetti out before Feb 1, 2027: Curt Cignetti
Rank
#15 of 16
Leader
Mike Norvell out before Feb 1, 2027: Mike Norvell 90¢
Range
1¢-90¢
Family volume
$835
Identifier
KXNCAAFCOACHOUT-27FEB01-CCIG
Sep 20, 2026, 4:38 AM UTC · 12m ago
Implied probability
Bid
4¢
Ask
9¢
Spread
5¢
Reported volume
$4K
Family rank
#15 of 16
16 outcomes · KXNCAAFCOACHOUT-27FEB01
Closes
Feb 1, 2027
Family volume
$835
Orderbook snapshot
4 / 9¢
Contract terms
What resolves this market.
YES condition
If the head coach of the Indiana college football team leaves, or announces they will leave, before Feb 1, 2027, then the market resolves to Yes.
Venue
Kalshi
Closes
Feb 1, 2027
Identifier
KXNCAAFCOACHOUT-27FEB01-CCIG
Event family
KXNCAAFCOACHOUT-27FEB01.
The same race as a probability stack: rank, volume, and where this contract sits against the other outcomes.
Total volume
$835
Outcomes
16
Highest price
Mike Norvell out before Feb 1, 2027: Mike Norvell 90¢
Current share
0%
Mike Norvell out before Feb 1, 2027: Mike Norvell
kalshi · KXNCAAFCOACHOUT-27FEB01-MNOR
Luke Fickell out before Feb 1, 2027: Luke Fickell
kalshi · KXNCAAFCOACHOUT-27FEB01-LFIC
Dabo Swinney out before Feb 1, 2027: Dabo Swinney
kalshi · KXNCAAFCOACHOUT-27FEB01-DSWI
Bill Belichick out before Feb 1, 2027: Bill Belichick
kalshi · KXNCAAFCOACHOUT-27FEB01-BBEL
Brent Venables out before Feb 1, 2027: Brent Venables
kalshi · KXNCAAFCOACHOUT-27FEB01-BVEN
Deion Sanders out before Feb 1, 2027: Deion Sanders
kalshi · KXNCAAFCOACHOUT-27FEB01-DSAN
Steve Sarkisian out before Feb 1, 2027: Steve Sarkisian
kalshi · KXNCAAFCOACHOUT-27FEB01-SSAR
Matt Rhule out before Feb 1, 2027: Matt Rhule
kalshi · KXNCAAFCOACHOUT-27FEB01-MRHU
Kalen DeBoer out before Feb 1, 2027: Kalen DeBoer
kalshi · KXNCAAFCOACHOUT-27FEB01-KDEB
Dan Lanning out before Feb 1, 2027: Dan Lanning
kalshi · KXNCAAFCOACHOUT-27FEB01-DLAN
Dan Mullen out before Feb 1, 2027: Dan Mullen
kalshi · KXNCAAFCOACHOUT-27FEB01-DMUL
Eli Drinkwitz out before Feb 1, 2027: Eli Drinkwitz
kalshi · KXNCAAFCOACHOUT-27FEB01-EDRI
Kirby Smart out before Feb 1, 2027: Kirby Smart
kalshi · KXNCAAFCOACHOUT-27FEB01-KSMA
Dave Aranda out before Feb 1, 2027: Dave Aranda
kalshi · KXNCAAFCOACHOUT-27FEB01-DARA
Curt Cignetti out before Feb 1, 2027: Curt Cignetti
kalshi · KXNCAAFCOACHOUT-27FEB01-CCIG
Marcus Freeman out before Feb 1, 2027: Marcus Freeman
kalshi · KXNCAAFCOACHOUT-27FEB01-MFRE
Indicators
Yield, cliff risk, volatility, and regime.
Regime
neutral
Score
0.5
Full indicator table
Odds pages
Related prediction questions
Related readings
Matched from SimpleFunctions blog, opinions, technical guides, concepts, and learn pages.
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.
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.
Cross-Venue Convergence Dynamics: Why Kalshi and Polymarket Converge — and When They Don't
Why the same outcome on Kalshi and Polymarket usually trades within 2-5 cents — and the three specific things that cause the gap to widen. Diagnostic guide and worked convergence trade.
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 5% 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.