SimpleFunctions
Winner-take-all answer·16 source contracts·Kalshi 16·refreshed just now·Closes Nov 3, 2027 · 479d

Who will win the 2026 CA-37 House election

Leader sits at 96% across 16 bound outcomes, runner-up at 92%. This is a winner-take-all market — the headline is the leader’s price, not an arithmetic mean.

Leader probability

96%

Lateefah Simon

runner-up 92¢leader 96¢

Outcomes

16

winner-take-all

Runner-up

92¢

Sydney Kamlager-Dove

Spread

4pp

contested

24h volume

$319

thin orderbook

Closes

Nov 3, 2027

479 days

Venue

Kalshi

16 bound

30-day trend

0%50%100%-30d-3w-2w-1wtodayLateefah Simon: 96% (5 days, 2 points)Lateefah Simon: 96% on 2026-07-01Sydney Kamlager-Dove: 92% (5 days, 4 points)Sydney Kamlager-Dove: 92% on 2026-07-05Aisha Wahab: 90% (5 days, 4 points)Aisha Wahab: 90% on 2026-07-05
Lateefah Simon96¢Sydney Kamlager-Dove92¢Aisha Wahab90¢
Top 3 candidates by current price · 5d

Bracket family

How the bracket ladder is priced.

Each row is one outcome on the venue. Sorted by 24h volume — the heaviest book is at the top.

Cluster 1

Who will win the 2026 CA

16 contracts$319
OutcomePrice24hVolumeVenueDetail

Who will win the 2026 CA-07 House election?: Doris Matsui

KXCAELECTION-2607-DMAT

35¢1pp$284K

Who will win the 2026 CA-37 House election?: Samantha Mota

KXCAELECTION-2637-SMOT

5¢±0$31K

Who will win the 2026 CA-12 House election?: Lateefah Simon

KXCAELECTION-2612-LSIM

96¢+4pp$2K

Who will win the 2026 CA-12 House election?: Jamie Joyce

KXCAELECTION-2612-JJOY

3¢2pp$2K

Who will win the 2026 CA-40 House election?: Young Kim

KXCAELECTION-2640-YKIM

30¢+2pp$0K

Who will win the 2026 CA-40 House election?: Ken Calvert

KXCAELECTION-2640-KCAL

68¢1pp$0K

Who will win the 2026 CA-37 House election?: Sydney Kamlager-Dove

KXCAELECTION-2637-SKAM

92¢1pp$0K

Who will win the 2026 CA-34 House election?: Jimmy Gomez

KXCAELECTION-2634-JGOM

63¢1pp$0K

Who will win the 2026 CA-34 House election?: Angela Gonzales-Torres

KXCAELECTION-2634-AGON

34¢±0$0K

Who will win the 2026 CA-29 House election?: Luz Rivas

KXCAELECTION-2629-LRIV

87¢1pp$0K

Who will win the 2026 CA-29 House election?: Angélica María Dueñas

KXCAELECTION-2629-ADUE

11¢1pp$0K

Who will win the 2026 CA-14 House election?: Melissa Hernandez

KXCAELECTION-2614-MHER

8¢±0$0K

Who will win the 2026 CA-14 House election?: Aisha Wahab

KXCAELECTION-2614-AWAH

90¢1pp$0K

Who will win the 2026 CA-07 House election?: Mai Vang

KXCAELECTION-2607-MVAN

62¢1pp$0K

Who will win the 2026 CA-04 House election?: Mike Thompson

KXCAELECTION-2604-MTHO

89¢1pp$0K

Who will win the 2026 CA-04 House election?: Eric Jones

KXCAELECTION-2604-EJON

9¢+1pp$0K

Analysis

This probability reflects market expectations that Sydney Kamlager-Dove will win California's 37th House District election in 2026. The 93% assessment suggests strong confidence in her candidacy, likely driven by factors such as her current political standing, district demographics, and fundraising advantages relative to potential challengers. The actual outcome depends on several variables: whether primary opposition emerges, turnout patterns, and how national political conditions evolve between now and Election Day in November 2026. The primary election in June 2026 will provide the first concrete signal of candidate viability and voter preferences, potentially shifting market confidence significantly if unexpected challengers gain momentum or if fundraising data reveals competitive dynamics not yet priced in.

  • Sydney Kamlager-Dove's primary election performance in June 2026 will be the first direct measurement of voter support in the district
  • Fundraising totals and spending by Kamlager-Dove relative to any primary or general election opponents will indicate resource disparities affecting campaign reach
  • District voter registration trends and demographic shifts between now and November 2026 could alter the electorate composition favoring different candidates
  • General election turnout levels in California's 37th District, influenced by statewide and national election dynamics, will affect which candidate's base mobilizes more effectively
  • Emergence of well-funded or otherwise competitive challengers in either the primary or general election phase would directly test whether 93% probability reflects durable support or concentrated market sentiment

What moved the line

  • Jul 5Mai Vang8pp7163¢ · Kalshi
  • Jul 5Doris Matsui7pp2734¢ · 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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