Platform comparison
| Platform | YES odds | NO odds | Fee | KYC | Settlement | |
|---|---|---|---|---|---|---|
Polymarket (via Trump Prediction) Pick polygram.ink (preferred broker) |
73% | 27% | 0% (USDC on-chain) | No-KYC up to $1,500 | USDC, auto via UMA oracle | Live odds → |
Polymarket (direct) polymarket.com |
73% | 27% | 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 |
|---|---|
| Both Teams Slay a Dragon | 73% |
| Both Teams Slay a Dragon | 73% |
| Total Kills Over/Under 27.5 in Game 2? | 67% |
| Match Winner | 66% |
| Both Teams Slay a Dragon | 66% |
| Total Kills Over/Under 27.5 in Game 1? | 61% |
| Game 1 Winner | 60% |
| Game 2 Winner | 60% |
| First Blood in Game 1? | 53% |
| First Blood in Game 2? | 53% |
| Any Player Penta Kill | 52% |
| Total Kills Over/Under 30.5 in Game 2? | 52% |
| Both Teams Slay Baron Nashor | 51% |
| Any Player Quadra Kill | 51% |
| Odd/Even Total Kills | 50% |
| Odd/Even Total Kills | 50% |
| Both Teams Destroy Inhibitors | 50% |
| Odd/Even Total Kills | 50% |
| Total Kills Over/Under 30.5 in Game 1? | 48% |
| O/U 2.5 Games | 46% |
| Total Kills Over/Under 33.5 in Game 2? | 38% |
| Game Handicap: GX (-1.5) vs SK Gaming (+1.5) | 37% |
| Total Kills Over/Under 33.5 in Game 1? | 35% |
| Any Player Quadra Kill | 27% |
| Any Player Quadra Kill | 27% |
| Any Player Penta Kill | 26% |
| Any Player Penta Kill | 26% |
| Both Teams Slay Baron Nashor | 19% |
| Both Teams Slay Baron Nashor | 19% |
| Both Teams Destroy Inhibitors | 16% |
| Both Teams Destroy Inhibitors | 16% |
Market context
GIANTX and SK Gaming meet in the LEC regular season BO3, and the market’s 60% YES price implies GIANTX are a modest favourite rather than a clear one. That sits comfortably with the recent head-to-head record: GIANTX beat SK 2-0 in their April 2026 spring meeting, but SK still hold the longer historical edge across prior seasons, so the matchup has generally been competitive rather than one-sided.[18][2]
The cleaner read for traders is that this price is leaning more on *current* matchup form than legacy results. Recent series data show GIANTX with the better of the last meeting and a slightly stronger recent results profile in aggregated match histories, which helps explain why the market is not closer to even despite SK’s broader head-to-head advantage.[4][13] Comparable cases in this pairing have often turned on early lane momentum and whether GIANTX can convert draft leads into a fast 2-0 rather than being dragged into a longer, swingier series.[8][10]
The main catalyst is the live match itself: if GIANTX start cleanly or win game one, the market should tend to reinforce the favourite lean; if SK take the opener, the 60% implied probability becomes harder to justify. Traders should also watch for any schedule movement or broadcast delay, because the market only resolves 50-50 if the match is not played, ends level, or is pushed beyond the seven-day window without a winner, while a completed match with a forfeit or disqualification still settles to the actual winner.[6][15]
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 LoL: GIANTX vs SK Gaming (BO3) - LEC Regular Season 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
- 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.
- Which political events have the biggest volume?
- US Presidential election, party nominations (DNC/RNC), Senate majorities, individual state outcomes (Pennsylvania, Michigan, Wisconsin), and major European elections. Peak markets reach $50-500M per event.
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