Platform comparison
| Platform | YES odds | NO odds | Fee | KYC | Settlement | |
|---|---|---|---|---|---|---|
Polymarket (via Trump Prediction) Pick polygram.ink (preferred broker) |
83% | 17% | 0% (USDC on-chain) | No-KYC up to $1,500 | USDC, auto via UMA oracle | Live odds → |
Polymarket (direct) polymarket.com |
83% | 17% | 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 80.5 in Game 1? | 83% |
| Game 2 Winner | 76% |
| Total Kills Over/Under 95.5 in Game 1? | 75% |
| Total Kills Over/Under 105.5 in Game 1? | 75% |
| Total Kills Over/Under 55.5 in Game 1? | 63% |
| Total Kills Over/Under 60.5 in Game 1? | 63% |
| Total Kills Over/Under 65.5 in Game 1? | 63% |
| Total Kills Over/Under 70.5 in Game 1? | 63% |
| Total Kills Over/Under 75.5 in Game 1? | 63% |
| Total Kills Over/Under 45.5 in Game 1? | 55% |
| Total Kills Over/Under 85.5 in Game 1? | 55% |
| Total Kills Over/Under 50.5 in Game 1? | 51% |
| Total Kills Over/Under 90.5 in Game 1? | 51% |
| Total Kills Over/Under 100.5 in Game 1? | 51% |
| Total Kills Over/Under 110.5 in Game 1? | 51% |
| Total Kills Over/Under 115.5 in Game 1? | 51% |
| Ends in Daytime | 50% |
| Both Teams Beat Roshan | 50% |
| Both Teams Destroy Barracks | 50% |
| Any Player Ultra Kill | 50% |
| Any Player Rampage | 50% |
| Ends in Daytime | 50% |
| Both Teams Beat Roshan | 50% |
| Both Teams Destroy Barracks | 50% |
| Any Player Ultra Kill | 50% |
| Any Player Rampage | 50% |
| First Blood in Game 2? | 50% |
| First Blood in Game 1? | 50% |
| Total Kills Over/Under 50.5 in Game 2? | 50% |
| Total Kills Over/Under 55.5 in Game 2? | 50% |
| Total Kills Over/Under 125.5 in Game 1? | 50% |
| Total Kills Over/Under 60.5 in Game 2? | 50% |
| Game 1 Winner | 0% |
Market context
Team Falcons and OG meet in a Dota 2 best-of-two, and the market is currently priced at **0% YES**, which leaves the listing as a hard sceptical read on any extra-market outcome before the series begins. In practical terms, that zero implies traders are leaning heavily on the base match-up rather than on any late-breaking angle from side markets, with the most obvious reference point being the teams’ recent head-to-head record, which favours Falcons on maps and wins overall.[1][4]
Recent comparable meetings frame the market as one-sided rather than volatile. Across the listed Dota 2 history, Team Falcons have taken more of the series and map points than OG, including a 1-0 win at BLAST Slam VII in May 2026 and a 2-0 win in DreamLeague Season 27 in December 2025, while OG’s clearest counter came earlier in 2024.[4][5][1] That pattern matters for “more markets” pricing because best-of-two formats can still split, but the recent run suggests Falcons have usually controlled the series state more often than OG.[1][4]
The main catalysts to watch are the official match start and any late roster, schedule, or format confirmation from tournament coverage, because those are the only realistic triggers for a rapid repricing from a near-zero baseline. BLAST’s series page already logged the teams’ recent 1-0 result, and recent match listings show the fixture as part of the 1win Essence II card, so traders will be looking for any pre-match change to line-up or timing rather than relying on slow-moving trend data.[4][5]
Methodology
Political prediction markets differ structurally from sports betting: thinner liquidity, longer settlement windows, higher sensitivity to single news events. This page shows the live Polymarket quote for Dota 2: Team Falcons vs OG - More Markets plus platform attributes for the three reference venues, so you can see at a glance where the deepest market for this question sits.
Resolution & payout
Political markets typically settle on official candidate or agency confirmation. Polymarket uses UMA Optimistic Oracle: a proposer posts the outcome with a bond, the two-hour window opens, then the smart contract pays USDC.
Kalshi settles USD via CFTC clearinghouse, with clearly defined resolution sources (e.g. AP race calls for elections). Betfair settles after the official outcome is registered with the league or agency. Manifold is play-money.
FAQ
- 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.
- Are political prediction markets legal in my country?
- It varies. They sit in legal gray areas in most jurisdictions. Polymarket is geo-blocked from US/UK/EU; some broker frontends have a different geo footprint. Trade only with capital you can afford to lose, and only if you understand the legal status in your jurisdiction.
- 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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