SimpleFunctions
KalshiMay 15, 20263 days left

Seattle vs Houston Winner?

By SimpleFunctions· Last verified 11 May 2026Methodology

This contract is priced at 57¢ on Kalshi. Current book: 56¢ bid, 57¢ ask, 1¢ spread.

Implied probability

57¢
$62K volume
$59K liquidity
60% of event volume

Event outcomes

2

Family volume

$104K

Best sibling

Houston 43¢

Ticker

KXMLBGAME-26MAY112010SEAHOU-SEA

Market snapshot

Seattle in market context.

This page tracks the Kalshi contract for Seattle vs Houston Winner?. The displayed quote is 57¢ from the latest venue quote. The cached market record reports 24h volume of $60K. In the Seattle vs Houston Winner family, this outcome ranks #1 of 2 by current quote across 2 sibling outcomes. The indicator bundle was refreshed May 11, 2026, 8:23 PM UTC.

Outcome

Seattle

Family rank

#1 of 2

Venue

Kalshi

Current quote

57¢

Quote source

Latest venue quote

Timing

Listed until May 15, 2026

24h volume

$60K

Family context

2 outcomes · Seattle vs Houston Winner

Quote range

43¢-56¢

Family leader

Seattle 56¢

Last updated

May 11, 2026, 8:23 PM UTC · 1m ago

Venue identifier: KXMLBGAME-26MAY112010SEAHOU-SEA. Family volume: $104K.

Price history

57¢ current

+14¢
25¢50¢75¢100¢
May 9, 2026May 11, 2026

Orderbook snapshot

56 / 57¢

Kalshi
1¢ spread
BidSize
56¢82K
55¢174K
54¢74K
53¢1.2K
52¢3.7K
AskSize
57¢322K
58¢398K
59¢193K
60¢50K
61¢9.5K

Contract terms

Resolution, venue, and identifiers.

Resolution rules

If Seattle wins the Seattle vs Houston professional baseball game originally scheduled for May 11, 2026 at 8:10 PM EDT, then the market resolves to Yes.

Venue

Kalshi

Closes

May 15, 2026

Identifier

KXMLBGAME-26MAY112010SEAHOU-SEA

SF Signal
SF Index
14446.80
Regime
neutral

Event family

Seattle vs Houston Winner.

This view keeps the individual contract next to its sibling outcomes. For long-tail search traffic, this is the useful context: where the current price sits inside the event, how much volume exists around the family, and which outcomes have actual depth.

Total volume

$104K

Outcomes

2

Highest price

Seattle 56¢

Current share

58%

Browse this series

MLB Game Winner Markets
Per-series collection — every live contract in the KXMLBGAME series on Kalshi, sorted by 24h volume.

Indicators

Yield, cliff risk, volatility, and regime.

CRI

1

VR

0.33

IAR

1.2/h

LAS

0.02

Regime

neutral

Score

0.5

Full indicator table

1
VR
0.33
IAR
1.2/h
LAS
0.02

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.

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.