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Dota 2: MOUZ vs Team Nemesis (BO2) - Esports World Cup Group C

How the prediction markets are pricing "Dota 2: MOUZ vs Team Nemesis (BO2) - Esports World Cup Group C" right now — live Polymarket order book quote, plus platform comparison.

Game 2 Winner 72% Match Winner 69% Both Teams Beat Roshan 51% Ends in Daytime 50% Volume: $566K Liquidity: $149K Closes: 9 Jul 2026
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Dota 2: MOUZ vs Team Nemesis (BO2) - Esports World Cup Group C

Platform comparison

PlatformYES oddsNO oddsFeeKYCSettlement
Polymarket (via Trump Prediction) Pick
polygram.ink (preferred broker)
72% 28% 0% (USDC on-chain) No-KYC up to $1,500 USDC, auto via UMA oracle Live odds →
Polymarket (direct)
polymarket.com
72% 28% 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.

OutcomeProbability
Game 2 Winner72%
Match Winner69%
Both Teams Beat Roshan51%
Ends in Daytime50%
Both Teams Destroy Barracks50%
Any Player Ultra Kill50%
Any Player Rampage50%
Ends in Daytime50%
Both Teams Beat Roshan50%
Both Teams Destroy Barracks50%
Any Player Ultra Kill50%
Any Player Rampage50%
First Blood in Game 1?50%
First Blood in Game 2?50%
Total Kills Over/Under 50.5 in Game 1?50%
Total Kills Over/Under 50.5 in Game 2?50%
Total Kills Over/Under 55.5 in Game 1?50%
Total Kills Over/Under 60.5 in Game 1?50%
Total Kills Over/Under 65.5 in Game 1?50%
Total Kills Over/Under 70.5 in Game 1?50%
Game 1 Winner47%

Market context

Traders on decentralised prediction markets give 72% probability to dota 2: mouz vs team nemesis (bo2) - esports world cup group c. This market refers to the Dota 2 match between MOUZ and Team Nemesis in the Esports World Cup Group C, initially scheduled for July 9 at 10:00AM ET. This market will resolve to "MOUZ" if MOUZ win the…

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: MOUZ vs Team Nemesis (BO2) - Esports World Cup Group C 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

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

What resolution source is used for elections?
Polymarket defines the source per contract — usually Associated Press (AP Race Call), Reuters or the official electoral commission. The source is stated in contract details before the market opens.
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.
and

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