SimpleFunctions

Utah · KXNCAAFB12REGTOP-27T5

Utah is priced at 66¢ on Kalshi. Current book: 58¢ bid, 97¢ ask, 39¢ spread. This outcome ranks #3 of 8 inside KXNCAAFB12REGTOP-27T5.

Price history

66¢ current

+13¢
50¢60¢70¢
Aug 19, 2026Aug 26, 2026

Contract brief

If Utah finishes in the top 5 in the Big 12 in the 2026 college football regular season, then the market resolves to Yes.

Outcome

Utah

Rank

#3 of 8

Leader

Texas Tech 72¢

Range

10¢-72¢

Family volume

$25

Identifier

KXNCAAFB12REGTOP-27T5-UTAH

Aug 27, 2026, 6:38 AM UTC · 20m ago

Implied probability

66¢
Latest venue quote
Aug 27, 2026, 6:38 AM UTC · 20m ago

Bid

58¢

Ask

97¢

Spread

39¢

Reported volume

$421

Family rank

#3 of 8

8 outcomes · KXNCAAFB12REGTOP-27T5

Closes

Feb 7, 2027

Family volume

$25

Orderbook snapshot

58 / 97¢

Kalshi
39¢ spread
BidSize
58¢5
50¢1
AskSize
97¢5

Contract terms

What resolves this market.

YES condition

If Utah finishes in the top 5 in the Big 12 in the 2026 college football regular season, then the market resolves to Yes.

Venue

Kalshi

Closes

Feb 7, 2027

Identifier

KXNCAAFB12REGTOP-27T5-UTAH

SF Signal
SF Index
100.47
Regime
neutral

Indicators

Yield, cliff risk, volatility, and regime.

IY (Yes)

160.8%

IY (No)

306.7%

Adj IY

100%

CRI

1

RV

146%

VR

1.12

Regime

neutral

Score

0.5

Full indicator table

160.8%
306.7%
Adj IY
100%
1
RV
146%
VR
1.12
IAR
0.4/h
Overround
2.4%
LAS
0.67

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.

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

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.

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.

Opinionanalysis

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.

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.