Live prediction market odds for CA-17 primary: Who will advance?. Compare prices across Kalshi and Polymarket and PredictIt.
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MARKET RESOLVEDKalshi / Polymarket / PredictIt
Resolved 2026-06-02
This market resolved on 2026-06-02. Ro Khanna was the officially declared outcome. Prior to resolution, the market peaked at 99%.
Polymarket and Kalshi are tracking the CA-17 primary to determine which candidates will advance. The outcome will influence the political landscape in California and could impact party dynamics leading up to the general election.
| Candidate |  |  |  |
|---|---|---|---|
Ro KhannaWINNER | 100% | 99% | 99% |
Ritesh Tandon | 99% | 58% | — |
Ethan Agarwal | 0% |
Prediction Market Track Record
Odds are influenced by candidate polling data, fundraising efforts, and endorsements. Additionally, voter sentiment and campaign strategies play a critical role.
The primary results determine which candidates will represent their parties in the general election. This can shape voter turnout and party strategies in the broader electoral context.
The CA-17 primary is scheduled for June 2, 2026. This date is crucial as it marks a key point in the election cycle leading up to the general election.
CA-17 primary: Who will advance was a prediction market event tracked across 3 platforms (Kalshi, Polymarket, PredictIt). Ro Khanna led the market at 99% implied probability before resolution. Other contenders include Ritesh Tandon at 78%, Ethan Agarwal at 24%, Ha Phan at 3%.
Ro Khanna held the lead at 99% implied probability heading into resolution. Behind Ro Khanna, Ritesh Tandon at 78% and Ethan Agarwal at 24% and Ha Phan at 3% were the next closest contenders. The 47.5% cross-platform spread suggested platforms were pricing new information differently, creating potential trading opportunities.
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Ro Khanna
99.3% avg
Official settlement criteria, resolution sources, and edge cases across Kalshi.
KalshiIf Ro Khanna advances in the 2026 CA-17 primary, then the market resolves to Yes.
This market is eligible for accelerated determination after a consensus of media organizations project the advancing candidates. See full rules for details.
| 48% |
| — |
Ha Phan | 1% | 5% | — |
