Platform comparison
| Platform | YES odds | NO odds | Fee | KYC | Settlement | |
|---|---|---|---|---|---|---|
Polymarket (via Kalshi Fees) Pick polygram.ink (preferred broker) |
100% | 0% | 0% (USDC on-chain) | No-KYC up to $1,500 | USDC, auto via UMA oracle | Place a position → |
Polymarket (direct) polymarket.com |
100% | 0% | 0% | Geo-blocked in US/UK/EU | USDC, on-chain | Place a position → |
Kalshi kalshi.com |
— | — | Up to 7% per trade | US-only, KYC required | USD | Place a position → |
Betfair Exchange betfair.com |
— | — | 2-5% commission | Full KYC from first trade | GBP / EUR | Place a position → |
Manifold Markets manifold.markets |
— | — | Play-money (mana) | None — play-money | Mana (no cash-out) | Place a position → |
Outcome probabilities
Current market-implied probability for each outcome, from the live order book.
| Outcome | Probability |
|---|---|
| Game 1 Winner | 100% |
| O/U 2.5 Games | 100% |
| Both Teams Slay a Dragon | 100% |
| Odd/Even Total Kills | 100% |
| First Blood in Game 1? | 100% |
| First Blood in Game 2? | 100% |
| Total Kills Over/Under 33.5 in Game 2? | 100% |
| Total Kills Over/Under 30.5 in Game 2? | 100% |
| Total Kills Over/Under 27.5 in Game 2? | 100% |
| Total Kills Over/Under 21.5 in Game 1? | 100% |
| Total Kills Over/Under 24.5 in Game 1? | 100% |
| Total Kills Over/Under 36.5 in Game 2? | 100% |
| Both Teams Slay a Dragon | 90% |
| Both Teams Destroy Inhibitors | 50% |
| Both Teams Slay Baron Nashor | 50% |
| Both Teams Slay a Dragon | 50% |
| Both Teams Destroy Inhibitors | 50% |
| Any Player Quadra Kill | 50% |
| Any Player Penta Kill | 50% |
| Odd/Even Total Kills | 50% |
| Both Teams Slay Baron Nashor | 10% |
| Any Player Quadra Kill | 10% |
| Any Player Penta Kill | 10% |
| Game 2 Winner | 0% |
| Match Winner | 0% |
| Game Handicap: SEN (-1.5) vs Shopify Rebellion (+1.5) | 0% |
| Both Teams Slay Baron Nashor | 0% |
| Both Teams Destroy Inhibitors | 0% |
| Any Player Quadra Kill | 0% |
| Any Player Penta Kill | 0% |
| Odd/Even Total Kills | 0% |
| Total Kills Over/Under 30.5 in Game 1? | 0% |
| Total Kills Over/Under 33.5 in Game 1? | 0% |
| Total Kills Over/Under 27.5 in Game 1? | 0% |
| Total Kills Over/Under 36.5 in Game 1? | 0% |
| Total Kills Over/Under 42.5 in Game 2? | 0% |
| Total Kills Over/Under 39.5 in Game 2? | 0% |
Market context
Sentinels and Shopify Rebellion have already played out this LCS regular-season BO3, and the live-score feeds show Sentinels taking the series 2-0. That matters for market handling because the dominant event risk has shifted from match strength to settlement mechanics: if your tooling is monitoring a binary market, the relevant state is no longer pre-match uncertainty but whether the official result is posted cleanly before the window closes. Recent head-to-head pages also show Sentinels winning the teams’ Spring 2026 meeting 2-0, which gives a small comparative frame for why the pre-match side may have attracted strong support even before the live outcome was known.[1][7][11][18]
For a programmatic workflow, the main inputs are the fixture feed, live-series status, and any official LCS schedule changes; a bot should treat “played”, “completed”, and “winner declared” as separate states rather than assuming a completed broadcast implies resolution. The market rules also mean cancellation, a tie, or a delay beyond seven days would force a 50-50 outcome, so a conditional-order engine should keep watching for postponement notices and abandon stale triggers once the event window expires.[12] The cleanest operational check is to reconcile the live match source against the league schedule and then map the official winner to the market’s settlement label, with no intermediate parsing of game-level stats needed unless the series is interrupted.[2][3][12]
Methodology
Methodologically we separate two layers: the live probability (Polymarket mid-price) and the platform attributes (fee, KYC, settlement currency, payment rails). That keeps the comparison honest — a single canonical probability across the row, with the venue-by-venue trade-offs spelt out in the columns next to it.
Resolution & payout
At resolution the UMA oracle takes over: a proposer posts the outcome with a bond, any token holder can dispute within two hours. Without dispute the result is accepted and the smart contract distributes USDC instantly.
On Kalshi (CFTC-regulated) resolution runs through their in-house clearing engine in USD. Betfair Exchange settles after match end in the account's local currency. Manifold pays no cash — only its in-platform "mana" currency.
FAQ
- Where can I trade this market with the lowest fees?
- Polymarket is geo-blocked in the US/UK/EU. The easiest 0%-fee broker into the same order book is Kalshi Fees. Kalshi charges up to 7% per trade; Betfair Exchange takes 2-5% commission on net winnings.
- Is this market available outside the US?
- Polymarket itself is geo-blocked in the US/UK/EU. Always check the legal status of prediction markets in your jurisdiction before trading.
- What's the difference between YES and NO shares?
- A YES share pays $1.00 if the event happens, $0 otherwise. A NO share pays $1.00 if the event doesn't happen. The market price between 0¢ and 100¢ is the implied probability.
- Do I need to KYC for this market?
- On Polymarket directly, no — it's wallet-based. Intermediary brokers like Kalshi Fees trigger KYC only above $1,500 of lifetime trading volume; under that you trade pseudonymously with a single wallet address.
- How reliable are the quoted odds?
- The YES/NO percentages are the live mid-prices of the Polymarket order book. On deep markets they move every few seconds; on thinner ones you'll see short plateaus.
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