Inter Miami CF vs. Chicago Fire FC

Platform comparison

Market context

Inter Miami CF meet Chicago Fire FC in an MLS fixture that is already priced as a near-certainty on the YES side, so the practical question is less about direction than about whether any late-breaking team news can still move the line or affect settlement timing. For a programme-driven approach, that means treating the market like a scheduled event with a hard cut-off and monitoring only data that can change the match itself: confirmed line-ups, goalkeeper changes, rest rotations, weather, and any official postponement or venue update.

Comparable meetings suggest the fixture can be volatile rather than one-sided. The last reported head-to-head in September 2025 finished Chicago Fire 5-3, and broader matchup data points to frequent high-scoring games, which matters because traders often key off goals, not just the result, when they model MLS volatility.[8][9] That history is useful for reading a 100% crowd-implied price: it can reflect a market that has already absorbed the obvious scheduling information, while still leaving room for small discrepancies if the event status, kick-off venue, or squad announcements are not fully synchronised across feeds.[1][2]

A power-user watching this programmatically would typically poll official club and league channels, then cross-check fixture metadata across live-score providers for time-zone or venue mismatches before the settlement window closes.[1][2][7] On the catalyst side, the main inputs are team sheets, injury or suspension updates, and any late schedule dependency such as a shift in kick-off time or stadium designation; even minor changes can matter when a market is already pinned at 100% YES because there is little room for ordinary price discovery.[1][2][6]

Sources: 1 · 2 · 3 · 4 · 5

Methodology

This page is a comparison snapshot: one live quote, four reference venues with their key attributes, and a single execution path — every trade button routes to Polymarket Bot UK, which mirrors the Polymarket order book directly.

Resolution & payout

Settlement runs on-chain. Polymarket's contract logic separates YES and NO shares as conditional tokens; at resolution the winning share lifts to $1.00 and the losing one to $0. The outcome input comes from the UMA Optimistic Oracle, which secures against bad resolution with a bond + dispute window.

Once finalised, the smart contract pays USDC to the holders' wallets within minutes — no withdrawal fees beyond Polygon network gas. Kalshi settles in USD via CFTC clearance, Betfair in account currency net of commission, Manifold in play-money mana with no cash-out.

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 Polymarket Bot UK. Kalshi charges up to 7% per trade; Betfair Exchange takes 2-5% commission on net winnings.

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.

What does Polymarket cost to trade?

Polymarket itself charges 0% — the only cost is the Polygon network fee, typically under $0.01 per transaction. Off-chain venues like Kalshi or Betfair charge 2-7% commission.

How fast are USDC deposits?

Polygon credits deposits after 12 confirmations — usually under 30 seconds. Withdrawals follow the same path and land back in your wallet within minutes.

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.