The market strongly favors Jay Obernolte (R) at 95%. High confidence — but lower potential returns.
| # | Outcome | Probability | If Right | Volume |
|---|---|---|---|---|
| 1 | Jay Obernolte (R) | 95% | +6% | $35K |
| 2 | Tessa Lynn Hodge (D) | 6% | +1670% | $51K |
Real-money prediction market · Trade with confidence
This market will resolve according to the party of the candidate who wins the CA-23 congressional district seat in the U.S. House of Representatives in the 2026 midterm elections. The midterm election...
This prediction market tracks whether CA-23 House Election Winner will occur, with $86K in total trading volume reflecting significant trader interest. Prediction markets aggregate the collective intelligence of participants who stake real money on outcomes, making them one of the most reliable forecasting tools available for events driven by polling data, political developments, and historical voting patterns.
The market shows strong consensus: Jay Obernolte (R) is priced at 95%, indicating traders overwhelmingly expect this outcome. At this probability level, the potential return on a correct bet is relatively low, but contrarian positions carry significant upside if the consensus proves wrong.
Trading activity is exceptionally high, with $23K traded in the last 24 hours alone (27% of total volume). This surge often indicates breaking news, a key deadline approaching, or a significant shift in market sentiment.
This market is scheduled to resolve by 2026-11-04. As the resolution date approaches, expect increased trading activity and tighter probability estimates. Historical data shows that prediction market accuracy improves significantly in the final days before resolution.
As of Oct 10, 2026 at 16:35 UTC, the leading outcome is Jay Obernolte (R) at 95% probability, with $86K in total trading volume on Polymarket.
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