Pittsburgh Pirates vs. Colorado Rockies

Platform comparison

Active sub-markets

Market context

The Pittsburgh Pirates and Colorado Rockies are scheduled to meet again after splitting recent games in this series, with the Rockies winning 4-3 on 19 June and the Pirates taking the previous contest 3-1 on 12 May. Over the longer sample, Pittsburgh has held the head-to-head edge, leading the all-time matchup 128-115, which is useful when calibrating a model that starts from priors rather than reacting only to the last result.[1][2][3]

A **0% YES** crowd price usually indicates either stale pricing, a data feed issue, or a market that has not yet been populated rather than a meaningful statement that Pittsburgh cannot win. For a programme-driven workflow, the sensible check is whether the event state has been updated correctly, whether the market is still live after the scheduled June 20 start, and whether any make-up game logic has been triggered, because postponements keep the market open until the game is completed while cancellations or ties settle 50-50 under the market rules. The immediate catalyst is simple: line-ups, starting pitchers, and any weather or schedule changes that affect whether the game is played as posted.[9]

If you are wiring this into conditional orders or a bot, the main dependency is confirmation from official game status rather than the crowd number itself. Recent results show the Pirates have been competitive in the matchup, but the practical driver for a late-entry trade is whether the market has been mispriced relative to the live baseball context and settlement mechanics, not the historical record alone.[1][3][7]

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

Is this market available outside the US?

Polymarket Bot UK is available in most jurisdictions where Polymarket isn't directly accessible. Polymarket itself is geo-blocked in the US/UK/EU. Always check local regulations.

How does resolution work?

Through the UMA Optimistic Oracle on Polygon: a proposer submits the outcome, a two-hour challenge window opens, and USDC payouts settle automatically once the result is final.

What does it cost to trade on Polymarket Bot UK?

Zero. Polymarket Bot 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.