SimpleFunctions

Houston wins first 5 innings by over 1.5 runs

Houston wins first 5 innings by over 1.5 runs is priced at 22¢ on Kalshi. Current book: 19¢ bid, 22¢ ask, 3¢ spread. This page tracks a standalone prediction-market contract.

Price history

22¢ current

+15¢
10¢20¢
May 24, 2026May 24, 2026

Contract brief

If Houston wins by more than 1.5 runs in the first 5 innings of the Houston vs Chicago C professional baseball game originally scheduled for May 24, 2026 at 2:20 PM EDT, then the market resolves to Yes.

Outcome

Houston wins first 5 innings by over 1.5 runs

Rank

Standalone

Leader

Range

Family volume

$4

Identifier

KXMLBF5SPREAD-26MAY241420HOUCHC-HOU2

May 24, 2026, 9:08 AM UTC · 28m ago

Implied probability

22¢
Latest venue quote
May 24, 2026, 9:08 AM UTC · 28m ago

Bid

19¢

Ask

22¢

Spread

24h volume

$4

Family rank

Standalone

Standalone contract

Closes

May 27, 2026

Family volume

$4

Orderbook snapshot

19 / 22¢

Kalshi
3¢ spread
BidSize
19¢600
18¢339
17¢1.0K
16¢1.0K
14¢27
AskSize
22¢1.9K
23¢422
24¢678
28¢7
29¢5.0K

Contract terms

What resolves this market.

YES condition

If Houston wins by more than 1.5 runs in the first 5 innings of the Houston vs Chicago C professional baseball game originally scheduled for May 24, 2026 at 2:20 PM EDT, then the market resolves to Yes.

Venue

Kalshi

Closes

May 27, 2026

Identifier

KXMLBF5SPREAD-26MAY241420HOUCHC-HOU2

SF Signal
SF Index
22998.12
Regime
neutral

Event family

This market.

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

Total volume

$4

Outcomes

1

Highest price

Houston wins first 5 innings by over 1.5 runs 22¢

Current share

100%

Browse this series

MLB Game First-5-Innings Markets
Per-series collection — every live contract in the KXMLBF series on Kalshi, sorted by 24h volume.

Indicators

Yield, cliff risk, volatility, and regime.

CRI

4

Overround

-0.2%

Regime

neutral

Score

0.5

Full indicator table

4
Overround
-0.2%

Odds pages

Related prediction questions

Browse odds

Related readings

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

Browse library
Opinionessay

Prediction market liquidity: why depth matters more than volume for serious traders

Why orderbook depth matters more than volume for prediction market traders. Real Kalshi examples, liquidity scoring framework, and how to avoid slippage.

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.

Opinionanalysis

Information Finance Has Arrived: A Material Map of Prediction Markets in Q2 2026

Combined Kalshi + Polymarket volume hit $66B in just four months of 2026 — already greater than the entire 2025 industry total. Bernstein projects $1T by 2030. Two venues hold 95% of US share. The distribution layer fragmented across nine retail surfaces. AI agents are 30% of Polymarket wallet activ

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.

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.