SimpleFunctions

Shane Steichen · KXNFLNEXTCOACHOUT-27I1

Shane Steichen is priced at 39¢ on Kalshi. Current book: 0¢ bid, 40¢ ask, 40¢ spread. This outcome ranks #3 of 16 inside KXNFLNEXTCOACHOUT-27I1.

Price history

39¢ current

35¢40¢
Sep 23, 2026Sep 23, 2026

Contract brief

If the head coach of Indianapolis 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

Shane Steichen

Rank

#3 of 16

Leader

Nick Sirianni 60¢

Range

1¢-60¢

Family volume

$692

Identifier

KXNFLNEXTCOACHOUT-27I1-SSTE

Sep 23, 2026, 4:38 PM UTC · 24m ago

Implied probability

39¢
Latest venue quote
Sep 23, 2026, 4:38 PM UTC · 24m ago

Bid

Ask

40¢

Spread

40¢

24h volume

$14

Family rank

#3 of 16

16 outcomes · KXNFLNEXTCOACHOUT-27I1

Closes

Feb 15, 2027

Family volume

$692

Orderbook snapshot

0 / 40¢

Kalshi
40¢ spread
BidSize
AskSize
40¢852
55¢100
95¢90
96¢5.0K

Contract terms

What resolves this market.

YES condition

If the head coach of Indianapolis 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-SSTE

SF Signal
SF Index
197.52
Regime
neutral

Indicators

Yield, cliff risk, volatility, and regime.

IY (Yes)

395.0%

IY (No)

161.5%

Adj IY

198%

CRI

2

Overround

2.1%

Regime

neutral

Score

0.5

Full indicator table

395.0%
161.5%
Adj IY
198%
2
Overround
2.1%

Odds pages

Related prediction questions

Browse odds

Related readings

Matched from SimpleFunctions blog, opinions, technical guides, concepts, and learn pages.

Browse library
Blogmarkets

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.

Opinionanalysis

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.

Blogmarkets

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.

Technicalguide

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.

Conceptmethodology

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.

Conceptmethodology

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.

Open index

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.