Darline Graham Nordone (R) leads at 74%. Moderate consensus — room for value on contrarian bets.
| # | Outcome | Probability | If Right | Volume |
|---|---|---|---|---|
| 1 | Darline Graham Nordone (R) | 74% | +36% | $12K |
| 2 | Person A | 50% | +100% | - |
| 3 | Person B | 50% | +100% | - |
| 4 | Person C | 50% | +100% | - |
| 5 | Person D | 50% | +100% | - |
| 6 | Other | 50% | +100% | - |
| 7 | Annie Andrews (D) BEST VALUE | 14% | +614% | $3K |
Real-money prediction market · Trade with confidence
This market will resolve according to the party nominee or independent candidate that receives the most valid votes from Greenville County in the election for United States Senator from South Carolina...
This prediction market tracks whether South Carolina Senate Election: Greenville County Winner will occur, with $16K 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.
Traders lean toward Darline Graham Nordone (R) at 74%, suggesting a probable but not certain outcome. This moderate confidence level often reflects genuine uncertainty — markets at this range tend to see the most price movement as new information emerges.
Trading activity is exceptionally high, with $16K traded in the last 24 hours alone (100% 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 2026-11-03. 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 21, 2026 at 18:15 UTC, the leading outcome is Darline Graham Nordone (R) at 74% probability, with $16K in total trading volume on Polymarket.
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