Philadelphia Union vs. Atlanta United FC - More Markets

Platform comparison

Market context

Philadelphia Union host Atlanta United in an MLS regular-season match scheduled for 1 August at 7:30 pm ET, and the current crowd-implied probability of **0% YES** implies the market is either mispriced, extremely illiquid, or still waiting for a catalyst to correct it. For power-users, this is the sort of contract to handle with basic programme logic: poll for line movement, verify whether the settlement rule is tied to the *match result* or a broader *more markets* bundle, and then watch for any late void conditions or feed delays that could leave the book temporarily stale.[3][1]

Comparable meetings suggest the base-rate for a Philadelphia or Atlanta result is not one-sided. The sides split recent head-to-heads, with Atlanta winning 3-1 in March 2026, Philadelphia winning 1-0 in May 2025, and several draws across the prior two seasons.[4][7][11] ESPN’s recap also shows the March 2026 Atlanta win came in a game where Miguel Almirón supplied three assists, underlining that individual availability can materially shift the read on a head-to-head market even before the market for “more markets” is properly populated.[4][8] A 0% implied YES is therefore most useful as a signal to check whether the contract is being treated as a placeholder rather than a live consensus.

The main catalysts are ordinary but time-sensitive: official team sheets, late injury or rotation notes, weather, and whether either club changes shape after a congested schedule. Programmatically, traders would typically watch club channels and MLS match-centre updates, then trigger conditional orders only if confirmed line-ups preserve key creators or finishers; that matters because the same fixture has already swung from Philadelphia wins to an Atlanta 3-1 response within one cycle.[3][8][19] If the “more markets” listing is being settled off a specific related sub-market set, the dependency tree should be checked before entry, because a delay in publishing ancillary prices can keep a seemingly live market pinned at zero until the feed updates.[1][2]

Sources: 1 · 2 · 3 · 4 · 5

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.

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.

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.