Pittsburgh Pirates vs. Colorado Rockies

Platform comparison

Active sub-markets

Market context

The Pittsburgh Pirates are scheduled to play the Colorado Rockies at Coors Field in Denver, a late-afternoon MLB game that has already been listed on the official game preview and ticketing pages for 21 June. MLB’s game listing shows the start time at 3:10 PM EDT, while Rockies ticket pages convert that to 1:10 PM local time, which matters for programmatic polling because settlement will follow the completed game rather than the scheduled first pitch. [8][3]

A 100% crowd-implied probability effectively means the market is pricing the Pirates as a near-certain winner, so a trader should treat that as an extreme signal rather than a neutral forecast. For comparison, the matchup pages still present a standard two-team contest with no indication of a suspended or special-format game, and the ESPN and MLB listings identify it as a normal regular-season fixture between Pittsburgh and Colorado. [1][8] In practical tooling terms, that makes the main risk less about model disagreement and more about event integrity: if the game runs to completion, the final official result should be straightforward to map to the market’s yes/no resolution rule. [8][1]

The main catalysts to monitor are the official line-ups, any late pitching or roster changes, and weather or postponement announcements, because the market stays open if the game is delayed and only resolves 50-50 if it is cancelled outright or ends tied under the stated rules. MLB’s preview page is the cleanest source for probable pitchers, line-ups, and game status, while ESPN’s live game page is useful for confirming whether the contest has started, been paused, or reached a final result. [8][1] For automated workflows, that means watching the MLB status feed on a timer, then hard-checking the official final once the game is over before submitting any resolution-dependent order logic.

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). The odds column is filled only where we have clean data — that avoids the made-up numbers that get a network demoted when search engines cross-check against the source venue.

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?

On Polymarket Review UK, which mirrors the Polymarket order book at 0% 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 it cost to trade on Polymarket Review UK?

Zero. Polymarket Review UK routes every order to the live Polymarket order book; the only cost is the Polygon network fee, typically under $0.01 per transaction.

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.