Platform comparison
| Platform | YES odds | NO odds | Fee | KYC | Settlement | |
|---|---|---|---|---|---|---|
Polymarket (via Trump Prediction) Pick polygram.ink (preferred broker) |
61% | 39% | 0% (USDC on-chain) | No-KYC up to $1,500 | USDC, auto via UMA oracle | Live odds → |
Polymarket (direct) polymarket.com |
61% | 39% | 0% | Geo-blocked in US/UK/EU | USDC, on-chain | Live odds → |
Kalshi kalshi.com |
— | — | Up to 7% per trade | US-only, KYC required | USD | Live odds → |
Betfair Exchange betfair.com |
— | — | 2-5% commission | Full KYC from first trade | GBP / EUR | Live odds → |
Manifold Markets manifold.markets |
— | — | Play-money (mana) | None — play-money | Mana (no cash-out) | Live odds → |
Outcome probabilities
Current market-implied probability for each outcome, from the live order book.
| Outcome | Probability |
|---|---|
| Total Kills Over/Under 50.5 in Game 1? | 61% |
| Any Player Ultra Kill | 53% |
| Match Winner | 51% |
| Ends in Daytime | 51% |
| Ends in Daytime | 51% |
| Ends in Daytime | 51% |
| Both Teams Beat Roshan | 51% |
| Both Teams Destroy Barracks | 51% |
| O/U 2.5 Games | 50% |
| First Blood in Game 1? | 50% |
| First Blood in Game 2? | 50% |
| Total Kills Over/Under 50.5 in Game 2? | 50% |
| Any Player Rampage | 48% |
| Game 1 Winner | 47% |
| Game 2 Winner | 47% |
| Both Teams Destroy Barracks | 39% |
| Both Teams Destroy Barracks | 39% |
| Any Player Ultra Kill | 39% |
| Any Player Ultra Kill | 38% |
| Both Teams Beat Roshan | 37% |
| Both Teams Beat Roshan | 36% |
| Game Handicap: BB (-1.5) vs 1win (+1.5) | 30% |
| Any Player Rampage | 24% |
| Any Player Rampage | 24% |
Market context
Based on real-money crowd forecasting, dota 2: 1win vs betboom team (bo3) - 1win essence playoffs stands at 61% likelihood according to current market consensus. This market refers to the Dota 2 Lower bracket semifinal match between 1win and BetBoom Team in the 1win Essence Playoffs, initially scheduled for August 5 at 5:00AM ET. This mark…
Methodology
This page tracks Dota 2: 1win vs BetBoom Team (BO3) - 1win Essence Playoffs across four political prediction venues. Live odds come from the Polymarket order book (the deepest political prediction-market book). Kalshi is the CFTC-regulated US alternative, Betfair the established UK sports-exchange with politics markets, Manifold the open play-money variant. For users geo-blocked from Polymarket directly, brokers like Trump Prediction provide a 0%-fee route into the same order book.
Resolution & payout
For political markets the resolution source is decisive. Polymarket defines a concrete source per contract (e.g. AP, Reuters, official electoral commission) and uses the UMA Optimistic Oracle as the on-chain dispute mechanism. With a clearly defined outcome the USDC payout lands within minutes of the final confirmation.
FAQ
- How accurate are political prediction markets?
- Historically more accurate than polls. Polymarket's Brier score on US 2024 elections was ~0.11 — better than 538 (~0.14) and every mainstream poll. Markets aggregate information with real skin in the game.
- Can prediction markets influence election outcomes?
- Markets reflect expectations rather than create them. Studies show public-facing markets can anchor expectations, but don't influence the underlying outcome. Political markets are information, not advocacy.
- Which platform has the deepest political liquidity?
- Polymarket — by far. US 2024 presidential volume was ~$3.5B vs Kalshi (~$200M) and Betfair (~$120M). Where Polymarket is geo-blocked, brokers like Trump Prediction route into the same order book at 0% fees.
- How fast do political markets react to news?
- High-liquidity markets move within seconds to minutes. A Trump tweet on the economy can shift the "Trump 2024" market 2-5 points before mainstream media has written anything.
- Why do Polymarket and Kalshi differ on elections?
- Kalshi must follow CFTC compliance — strict definitions, clear resolution sources, US citizens only with KYC. Polymarket operates globally without CFTC oversight — deeper liquidity, but also higher regulatory risk.
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