Mike LaFleur · KXNFLNEXTCOACHOUT-27I1
Mike LaFleur is priced at 50¢ midpoint on Kalshi. Current book: 3¢ bid, 97¢ ask, 94¢ spread. This outcome ranks #5 of 6 inside KXNFLNEXTCOACHOUT-27I1.
Price history
50¢ current
Contract brief
If the head coach of Arizona Pro Football team leaves (or announces they will leave) before any other Pro Football head coach before Feb 15, 2027 and after issuance, then the market resolves to Yes.
Outcome
Mike LaFleur
Rank
#5 of 6
Leader
Aaron Glenn 11¢
Range
3¢-11¢
Family volume
$0
Identifier
KXNFLNEXTCOACHOUT-27I1-MILA
Sep 4, 2026, 4:08 AM UTC · 5m ago
Implied probability
Bid
3¢
Ask
97¢
Spread
94¢
Reported volume
$0
Family rank
#5 of 6
6 outcomes · KXNFLNEXTCOACHOUT-27I1
Closes
Feb 15, 2027
Family volume
$0
Orderbook snapshot
3 / 97¢
Contract terms
What resolves this market.
YES condition
If the head coach of Arizona Pro Football team leaves (or announces they will leave) before any other Pro Football head coach before Feb 15, 2027 and after issuance, then the market resolves to Yes.
Venue
Kalshi
Closes
Feb 15, 2027
Identifier
KXNFLNEXTCOACHOUT-27I1-MILA
Event family
KXNFLNEXTCOACHOUT-27I1.
The same race as a probability stack: rank, volume, and where this contract sits against the other outcomes.
Total volume
$0
Outcomes
6
Highest price
Aaron Glenn 11¢
Current share
—
Aaron Glenn
kalshi · KXNFLNEXTCOACHOUT-27I1-AGLE
Dan Quinn
kalshi · KXNFLNEXTCOACHOUT-27I1-DQUI
Dave Canales
kalshi · KXNFLNEXTCOACHOUT-27I1-DCAN
Zac Taylor
kalshi · KXNFLNEXTCOACHOUT-27I1-ZTAY
Mike LaFleur
kalshi · KXNFLNEXTCOACHOUT-27I1-MILA
Jeff Hafley
kalshi · KXNFLNEXTCOACHOUT-27I1-JHAF
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.
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.
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.
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.
Maker / Taker Regime in Prediction Markets: How to Read the Orderbook State
Three regime states (maker-dominated, taker-dominated, neutral) and how to read which one a Kalshi or Polymarket contract is in. Strategy follows regime, not thesis.
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 50% 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.