Platform comparison
| Platform | YES odds | NO odds | Fee | KYC | Settlement | |
|---|---|---|---|---|---|---|
Polymarket (via Trump Prediction) Pick polygram.ink (preferred broker) |
100% | 0% | 0% (USDC on-chain) | No-KYC up to $1,500 | USDC, auto via UMA oracle | Live odds → |
Polymarket (direct) polymarket.com |
100% | 0% | 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 |
|---|---|
| Map 2 Winner | 100% |
| O/U 2.5 Games | 100% |
| Map 1 Total Rounds: Over/Under 21.5 | 100% |
| Map 2 Rounds Handicap: Bounty Hunters Esports (-3.5) vs MIBR Academy (+3.5) | 100% |
| Map 2 Total Rounds: Over/Under 21.5 | 100% |
| Map 1 Total Rounds: Over/Under 18.5 | 100% |
| Map 3 Rounds Handicap: Bounty Hunters Esports (-3.5) vs MIBR Academy (+3.5) | 50% |
| Map 3 Total Rounds: Over/Under 21.5 | 50% |
| Map 3 Rounds Handicap: Bounty Hunters Esports (-6.5) vs MIBR Academy (+6.5) | 50% |
| Map 3 Total Rounds: Over/Under 24.5 | 50% |
| Map 3 Rounds Handicap: MIBR Academy (-3.5) vs Bounty Hunters Esports (+3.5) | 50% |
| Map 3 Rounds Handicap: MIBR Academy (-9.5) vs Bounty Hunters Esports (+9.5) | 50% |
| Match Winner | 38% |
| Map 1 Rounds Handicap: Bounty Hunters Esports (-3.5) vs MIBR Academy (+3.5) | 1% |
| Map 1 Rounds Handicap: Bounty Hunters Esports (-6.5) vs MIBR Academy (+6.5) | 1% |
| Map 1 Total Rounds: Over/Under 24.5 | 1% |
| Map 1 Rounds Handicap: MIBR Academy (-3.5) vs Bounty Hunters Esports (+3.5) | 1% |
| Map 1 Rounds Handicap: MIBR Academy (-6.5) vs Bounty Hunters Esports (+6.5) | 1% |
| Map 1 Rounds Handicap: MIBR Academy (-9.5) vs Bounty Hunters Esports (+9.5) | 1% |
| Map 2 Total Rounds: Over/Under 24.5 | 1% |
| Map 2 Rounds Handicap: Bounty Hunters Esports (-6.5) vs MIBR Academy (+6.5) | 1% |
| Map 2 Rounds Handicap: MIBR Academy (-3.5) vs Bounty Hunters Esports (+3.5) | 1% |
| Map 2 Rounds Handicap: MIBR Academy (-6.5) vs Bounty Hunters Esports (+6.5) | 1% |
| Map 1 Winner | 0% |
| Map Handicap: BHE (-1.5) vs MIBR Academy (+1.5) | 0% |
| Map Handicap: MIBR.A (-1.5) vs Bounty Hunters Esports (+1.5) | 0% |
Market context
The underlying event is a Counter-Strike Round of 16 match between Bounty Hunters Esports and MIBR Academy in the CCT South America Series 3 Playoffs, scheduled for 7 July 2026 at 22:00 UTC. With the crowd-implied probability of Bounty Hunters winning at 0%, the market treats the outcome as effectively certain, despite the match being a competitive BO3.
Historically, similar 0% probabilities in esports prediction markets have preceded either a team’s disqualification or a severe roster collapse before the event, as seen when top-tier teams failed to appear in lower-tier B-Tier tournaments like CCT South America Series 1[3][5]. In those cases, the market resolved to the default 50-50 outcome, but only after the cancellation was confirmed, not before. The current 0% suggests the market believes Bounty Hunters will not compete, possibly due to a pre-match administrative issue or a withdrawal not yet publicly disclosed.
Traders should monitor official CCT announcements for roster changes, match cancellations, or disqualifications, as these are the primary catalysts that could shift the probability from 0% to 50-50. Recent news from Liquipedia confirms that CCT South America Series 3 is a Valve Tier 2 B-Tier event, where such administrative disruptions are more common than in higher-tier competitions[3]. The market is leaning on the possibility of a pre-match cancellation rather than an in-game loss, making the cancellation clause the critical dependency to watch.
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 Counter-Strike: Bounty Hunters Esports vs MIBR Academy (BO3) - CCT South America Series 3 Playoffs 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
- 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.
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