Skip to main content

Map Handicap: EF (-1.5) vs KOLESIE (+1.5)

Eternal Fire Price
0.1%
Volume
$2.1K
Liquidity
$6.4K
Spread: 0.10%
Traders
19
Active positions

Map Handicap: EF (-1.5) vs KOLESIE (+1.5)

Current: 0.1% 99.8%2 data points
Yes Price
Powered by TradingView Lightweight Charts

Market Analysis

**Market Overview** The prediction market "Map Handicap: EF (-1.5) vs KOLESIE (+1.5)" is currently trading at 0.1% on Polymarket, reflecting real-time sentiment and odds from 19 active participants. As of January 27, 2026, this market has generated $2.1K in total trading volume, making it an emerging prediction market in the general category. **Current Odds & Price Action** The "Eternal Fire" outcome is priced at 0.1%, while "KOLESIE" trades at 99.9%. The market has remained relatively stable over the past 24 hours, suggesting established consensus among traders about the likely outcome. **Liquidity & Trading Conditions** This market offers $6.4K in liquidity, suitable for retail-sized positions. **Market Timeline** This market is approaching its resolution date and will close soon.

Market Details

Created
Jan 27, 2026
Closes
Jan 27, 2026
Outcomes
Eternal Fire / KOLESIE
Market ID
1277043
Last Updated
4h ago

Start Trading

Trade on the outcome of this event on Polymarket with low fees and high liquidity.

✓ Decentralized & transparent

✓ Low trading fees

✓ Instant settlement

Related Markets

Discover similar prediction markets

Fed decreases interest rates by 50+ bps after January 2026 meeting?

⏰ Expires Soon
Yes
0.1%
No
99.9%
Volume
$220.44M
Details

Fed increases interest rates by 25+ bps after January 2026 meeting?

⏰ Expires Soon
Yes
0.1%
No
99.9%
Volume
$190.51M
Details

No change in Fed interest rates after January 2026 meeting?

⏰ Expires Soon
Yes
99.3%
No
0.8%
Volume
$78.13M
Details

Fed decreases interest rates by 25 bps after January 2026 meeting?

⏰ Expires Soon
Yes
0.4%
No
99.6%
Volume
$76.48M
Details
Details

Ready to trade on this market?

Join thousands of traders on Polymarket and start betting on real-world events.