Arizona Diamondbacks vs. St. Louis Cardinals

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Active sub-markets

Market context

The real-world event is the MLB game between the Arizona Diamondbacks and St. Louis Cardinals, played on 22 June at 7:45 PM ET at Busch Stadium in St. Louis, where the Diamondbacks secured a 6–3 victory. This outcome resolves the prediction market to “Arizona Diamondbacks”, contradicting the crowd-implied 0% probability for that side, which suggests a significant mispricing before settlement. Programmatically, a bot evaluating this market would flag the discrepancy between pre-game odds and final results, using the official ESPN final score [3] as the primary resolution trigger to execute conditional orders for arbitrage or hedging.

Historically, similar mispricings in MLB prediction markets often stem from overreliance on pre-game bullpen projections rather than actual in-game performance; DraftKings analysts noted the Cardinals’ superior run shape but warned against spread exposure due to bullpen volatility [1]. Comparable cases show that when bullpens underperform relative to projections, the underdog frequently wins despite low implied probabilities, a pattern this market now confirms. Traders approaching this programmatically should model bullpen reliability as a dependency variable, adjusting position sizes based on live pitching data rather than static pre-game lines.

Key catalysts for future markets include pitcher injury announcements, weather dependencies, and schedule shifts affecting rest days. Recent coverage from CBS Sports highlighted that odds and lines are subject to change, with no gambling offered on the platform itself, underscoring the need for real-time data feeds [6]. A power-user would monitor ESPN’s live game tracker for pitching changes and final scores [3], while integrating FanDuel’s odds movements [2] to detect sentiment shifts before settlement. For the next cycle, tracking Jordan Walker’s hitting performance [1] and Alec Burleson’s form [2] will be critical for refining predictive models.

Sources: 1 · 2 · 3 · 4 · 5

Methodology

We track Arizona Diamondbacks vs. St. Louis Cardinals on the five venues with material liquidity for prediction markets. Live odds come from the Polymarket Polygon order book — the only source that ships real-time data under an open licence. For Kalshi, Betfair and Manifold we list platform attributes (fee, KYC, settlement, payment) instead of fabricated odds, because their APIs use non-comparable contract definitions.

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

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'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 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 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.