San Jose Earthquakes vs. Orlando City SC

Platform comparison

Market context

San Jose Earthquakes host Orlando City SC in an MLS fixture scheduled for Wednesday, 22 July 2026, with the market’s crowd-implied **1% YES** price signalling that a San Jose win is being treated as a very low-probability outcome. The live trading angle is straightforward for power users: a 1% line usually reflects either a strong mismatch in team strength, a venue adjustment, or a late-team-news discount, so programmatic traders would typically watch for abrupt shifts in price around lineup release and injury disclosures rather than treat the opening price as stable.[1][5]

Recent and historical meetings give this market context. Orlando have the better head-to-head record over the last seven meetings, winning three to San Jose’s one, with three draws.[2] But the series is not one-way: San Jose beat Orlando 3-0 in one recent meeting, while Orlando won 1-0 in another at PayPal Park, which is the sort of split profile that can matter when modelling a low-odds home outcome versus a narrow away favourite.[3][4] For a bot or conditional-order setup, that means the edge case is less about average form and more about whether late inputs move the match out of the expected low-scoring, one-goal-margin range.[2][3][4]

The main catalysts to watch are the starting line-ups, any late injury or rest announcements, and confirmation of whether either club is managing minutes through a congested MLS schedule. Market makers will usually react fastest when official team sheets land, because those are the inputs that can invalidate pre-match pricing assumptions and trigger copy-trading or conditional execution rules. The current match environment also points to a relatively modest goal expectation in the pricing layer, which can amplify the impact of an early goal or a surprise absence on San Jose’s side.[5]

Sources: 1 · 2 · 3 · 4 · 5

Methodology

This page reviews San Jose Earthquakes vs. Orlando City SC across five venues. The live probability is the Polymarket mid-price, sourced directly from the on-chain Polygon order book; the comparison columns benchmark each venue on fee structure, KYC, settlement currency and payment rails. Every CTA routes to Kalshi Fees, which mirrors the Polymarket order book at 0% fees.

Resolution & payout

Polymarket-based markets settle through the UMA Optimistic Oracle on Polygon. A proposer submits the outcome, a two-hour challenge window opens, and unchallenged proposals finalise the resolution. Payouts settle automatically in USDC the moment the result is final — no bookmaker, no delay.

Kalshi-based markets settle in USD via the CFTC-regulated clearinghouse. Betfair Exchange settles in GBP/EUR net of commission. Manifold is play-money and does not pay out real funds.

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 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.