SimpleFunctions

John Hoyet Chance wins the award: John Hoyet Chance · KXNCAAFAWARD-26RAYG

John Hoyet Chance wins the award: John Hoyet Chance is priced at 4¢ on Kalshi. Current book: 0¢ bid, 4¢ ask, 4¢ spread. This outcome ranks #9 of 10 inside KXNCAAFAWARD-26RAYG.

Price history

4¢ current

0¢5¢
Sep 23, 2026Sep 23, 2026

Contract brief

If John Hoyet Chance wins the Ray Guy Award in the 2026 college football season, then the market resolves to Yes.

Outcome

John Hoyet Chance wins the award: John Hoyet Chance

Rank

#9 of 10

Leader

Billy Gowers wins the award: Billy Gowers 96¢

Range

4¢-96¢

Family volume

$0

Identifier

KXNCAAFAWARD-26RAYG-JCHA

Sep 23, 2026, 4:08 AM UTC · 26m ago

Implied probability

4¢
Latest venue quote
Sep 23, 2026, 4:08 AM UTC · 26m ago

Bid

0¢

Ask

4¢

Spread

4¢

Reported volume

$5

Family rank

#9 of 10

10 outcomes · KXNCAAFAWARD-26RAYG

Closes

Jan 7, 2027

Family volume

$0

Orderbook snapshot

0 / 4¢

Kalshi
4¢ spread
BidSize
AskSize
4¢100
35¢150
91¢2.2K
97¢167

Contract terms

What resolves this market.

YES condition

If John Hoyet Chance wins the Ray Guy Award in the 2026 college football season, then the market resolves to Yes.

Venue

Kalshi

Closes

Jan 7, 2027

Identifier

KXNCAAFAWARD-26RAYG-JCHA

SF Signal
SF Index
4114.53
Regime
neutral

Indicators

Yield, cliff risk, volatility, and regime.

IY (Yes)

8229.1%

IY (No)

14.3%

Adj IY

4115%

CRI

24

Overround

1.2%

Regime

neutral

Score

0.5

Full indicator table

8229.1%
14.3%
Adj IY
4115%
24
Overround
1.2%

Odds pages

Related prediction questions

Browse odds

Related readings

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

Browse library
Opinioncomparison

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.

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.

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.

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.

Blogmacro

US Recession 2025? What 1% Prediction Market Odds Get Right—and Wrong—About the Cycle

Prediction markets put 2025 US recession odds near 1%, while yield curves, economic indicators, and institutional forecasts point to much higher risk. This deep dive compares market pricing to historical base rates, Federal Reserve policy, and forecasting models to see if investors are underpricing recession risk.

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.