SimpleFunctions
18 source contracts·Kalshi 18·refreshed just now·Closes Nov 3, 2027 · 457d

Will Democratic win the House race for PA-14

Liquidity-weighted aggregate sits at 60% across 18 Kalshi contracts.

Implied probability

60%
0%50%100%

Kalshi

60%

18 contracts

Polymarket

not bound

Cross-venue gap

single venue

24h move

no pin

24h volume

$7K

18 contracts

Closes

Nov 3, 2027

457 days

30-day trend

0%50%100%-30d-3w-2w-1wtodayAggregate: 60% (28 days, 28 points)Aggregate: 60% on 2026-08-03
Aggregate of 18 contracts · 28d

Bracket families

2 clusters across 18 contracts.

These contracts were grouped by title similarity. The headline aggregate combines all clusters; verify the cluster you actually need before quoting a number.

Cluster 1

Will Republican win the House race

11 contracts$5K

Cluster 2

Will Democratic win the House race

7 contracts$2K

Analysis

This probability represents the market's assessment of the likelihood that the Democratic candidate will win Pennsylvania's 14th Congressional District in the next House election. The 50% midpoint suggests the race is viewed as highly competitive, with neither party holding a substantial advantage at this time. Movement in this probability would likely reflect shifts in polling data, changes in candidate positioning, demographic shifts in the district, and the broader political environment heading into the election. The most significant catalyst for resolving this uncertainty would be the election itself, though primary results, major campaign announcements, or significant polling movements could substantially shift the probability before then. Trader activity in this contract appears relatively modest compared to other House races, suggesting limited certainty among participants about the race's outcome.

  • Current polling trends in PA-14 and whether Democratic or Republican candidates show sustained leads or narrowing margins
  • District demographics and historical voting patterns compared to current political alignment and turnout expectations
  • Candidate quality, fundraising totals, and name recognition of the specific nominees running in the race
  • Broader Pennsylvania statewide political environment and performance trends in recent election cycles
  • Early voting patterns and registration data if available closer to the election date

What moved the line

  • Jul 29Republican party17pp5942¢ · Kalshi
  • Aug 1Brian Poindexter10pp5848¢ · Kalshi
  • Aug 3Brian Poindexter9pp5665¢ · Kalshi
  • Jul 29Brian Poindexter8pp4553¢ · Kalshi
  • Aug 2Brian Poindexter8pp4856¢ · Kalshi

Recently closed in election 2026

These markets stopped trading. Last odds and any captured outcome are shown above — full settlement detail lives at the venue.

More like this

Other questions in election 2026.

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.

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