SimpleFunctions

Rob Sand and Josh Turek win to win Will Iowa Governor

Rob Sand and Josh Turek win is priced at 33¢ on Kalshi. Current book: 27¢ bid, 32¢ ask, 5¢ spread. This outcome ranks #2 of 4 inside Will Iowa Governor winner.

Price history

33¢ current

5¢
30¢40¢
Jul 7, 2026Jul 13, 2026

Contract brief

If ALL of the following occur: Iowa Governor winner: Democratic party, Iowa Senate winner: Democratic party, then the market resolves to Yes.

Outcome

Rob Sand and Josh Turek win

Rank

#2 of 4

Leader

Zach Lahn and Ashley Hinson win 36¢

Range

3¢-36¢

Family volume

$82

Identifier

KXIASENGOVCOMBO-26NOV-DEMDEM

Jul 14, 2026, 4:38 AM UTC · 17m ago

Implied probability

33¢
Latest venue quote
Jul 14, 2026, 4:38 AM UTC · 17m ago

Bid

27¢

Ask

32¢

Spread

24h volume

$15

Family rank

#2 of 4

4 outcomes · Will Iowa Governor winner

Closes

Nov 3, 2027

Family volume

$82

Orderbook snapshot

27 / 32¢

Kalshi
5¢ spread
BidSize
27¢32
26¢250
24¢500
9¢347
8¢283
AskSize
32¢5
33¢250
34¢500
59¢165
67¢31

Contract terms

What resolves this market.

YES condition

If ALL of the following occur: Iowa Governor winner: Democratic party, Iowa Senate winner: Democratic party, then the market resolves to Yes.

Venue

Kalshi

Closes

Nov 3, 2027

Identifier

KXIASENGOVCOMBO-26NOV-DEMDEM

SF Signal
SF Index
103.35
Regime
neutral

Event family

Will Iowa Governor winner.

The same race as a probability stack: rank, volume, and where this contract sits against the other outcomes.

Total volume

$82

Outcomes

4

Highest price

Zach Lahn and Ashley Hinson win 36¢

Current share

18%

Indicators

Yield, cliff risk, volatility, and regime.

IY (Yes)

206.7%

IY (No)

28.3%

Adj IY

103%

CRI

3

Overround

-0.1%

Regime

neutral

Score

0.5

Full indicator table

206.7%
28.3%
Adj IY
103%
3
Overround
-0.1%

Odds pages

Related prediction questions

Browse odds

Related readings

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

Browse library
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

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.

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.

Technicalrisk

Reading Prediction Market Orderbooks: Liquidity, Spread, and When to Enter

How to read prediction market orderbooks on Kalshi. Covers bid-ask spread analysis, liquidity scoring, executable edge calculation, and when thin markets are opportunities vs traps.

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.