Map 2 Winner leads at 76%. Moderate consensus — room for value on contrarian bets.
| # | Outcome | Probability | If Right | Volume |
|---|---|---|---|---|
| 1 | Map 2 Winner | 76% | +31% | - |
| 2 | Match Winner | 68% | +46% | $19K |
| 3 | Map 1 Winner | 62% | +63% | $150 |
| 4 | Map Handicap: FURIA (-1.5) vs FaZe (+1.5) | 40% | +147% | $4K |
| 5 | O/U 2.5 Games BEST VALUE | 40% | +153% | - |
Real-money prediction market · Trade with confidence
This market refers to the Counter-Strike Upper Bracket Quarterfinal 3 match between FURIA and FaZe in the IEM Beijing Group A, initially scheduled for November 2, 2026 at 2:00 AM ET. This market will...
This prediction market tracks whether Counter-Strike: FURIA vs FaZe (BO3) - IEM Beijing Group A will occur, with $24K 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 team performance data, historical matchups, and real-time injury reports.
Traders lean toward Map 2 Winner at 76%, 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 $19K traded in the last 24 hours alone (82% 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 2026-11-02. 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 31, 2026 at 18:45 UTC, the leading outcome is Map 2 Winner at 76% probability, with $24K in total trading volume on Polymarket.
What Are Prediction Markets? · How to Trade · Odds Calculator · Compare Platforms