Mets de Guaynabo vs. Cangrejeros de Santurce
Mets de Guaynabo vs. Cangrejeros de Santurce is priced at 50¢ on Polymarket. Current book: 2¢ bid, 98¢ ask, 96¢ spread. This page tracks a standalone prediction-market contract.
Price history
50¢ current
Contract brief
In the upcoming BSN game, scheduled for June 15 at 8:00PM ET: If the Mets de Guaynabo win, the market will resolve to "Mets de Guaynabo". If the Cangrejeros de Santurce win, the market will resolve to "Cangrejeros de Santurce". If the game is postponed, this market will remain open until the game has been completed. If the game is canceled entirely, with no make-up game, this market will resolve 50-50. The result will be determined based on the final score including any overtime periods.
Outcome
Mets de Guaynabo vs. Cangrejeros de Santurce
Rank
Standalone
Leader
—
Range
—
Family volume
$0
Identifier
0x0efd8b61...8792
Jun 15, 2026, 5:10 PM UTC · 0m ago
Implied probability
Bid
2¢
Ask
98¢
Spread
96¢
Reported volume
$0
Family rank
Standalone
Standalone contract
Closes
Jun 23, 2026
Family volume
$0
Orderbook snapshot
2 / 98¢
Contract terms
What resolves this market.
YES condition
In the upcoming BSN game, scheduled for June 15 at 8:00PM ET: If the Mets de Guaynabo win, the market will resolve to "Mets de Guaynabo". If the Cangrejeros de Santurce win, the market will resolve to "Cangrejeros de Santurce". If the game is postponed, this market will remain open until the game has been completed. If the game is canceled entirely, with no make-up game, this market will resolve 50-50. The result will be determined based on the final score including any overtime periods.
Venue
Polymarket
Closes
Jun 23, 2026
Identifier
0x0efd8b61…8792
Event family
This market.
The same race as a probability stack: rank, volume, and where this contract sits against the other outcomes.
Total volume
$0
Outcomes
1
Highest price
Mets de Guaynabo vs. Cangrejeros de Santurce 50¢
Current share
—
Indicators
Yield, cliff risk, volatility, and regime.
Regime
neutral
Score
0.5
Related readings
Matched from SimpleFunctions blog, opinions, technical guides, concepts, and learn pages.
Computing Liquidity Availability Score from the Orderbook
Step-by-step guide to computing the Liquidity Availability Score in TypeScript and Python, with edge cases for thin orderbooks, missing data, and the warm-cron coverage limitation.
Liquidity Availability Is the Real Edge in Prediction Markets
Implied yield, cliff risk, and overround all describe what to trade. Liquidity Availability Score describes whether the orderbook can absorb the trade. Why LAS is the indicator that decides who actually books P&L.
Kalshi vs Polymarket: Which Prediction Market Should You Trade?
In-depth comparison of Kalshi and Polymarket for prediction market traders. Regulatory structure, liquidity, fees, API tooling, and cross-venue trading with SimpleFunctions.
Prediction Market Orderbook Analysis: Reading Depth, Spread, and Liquidity
How to read prediction market orderbooks. Binary settlement, spread-as-percentage, depth asymmetry, executable edge calculation, and cross-venue arbitrage analysis.
Kalshi vs Polymarket: A Developer's Comparison of APIs, Orderbooks, and Liquidity
Data-driven comparison of Kalshi and Polymarket APIs, orderbooks, rate limits, and liquidity. Code examples for building on both prediction markets.
Maker / Taker Regime in Prediction Markets: How to Read the Orderbook State
Three regime states (maker-dominated, taker-dominated, neutral) and how to read which one a Kalshi or Polymarket contract is in. Strategy follows regime, not thesis.
SimpleFunctions context
Index, screen, query, and monitor.
Prediction Market Index
Market-wide volatility, geo risk, breadth, and activity around this contract.
Market Screener
Filter adjacent contracts by volume, expiry, IY, CRI, venue, and theme.
Event Probability API
Read 50% as a structured event probability object for agents and apps.
Realtime Data API
Prices, orderbooks, movement, heat, and liquidity indicators across venues.
World State API
Compact market-aware context packets for agent sessions and scheduled refresh.
Hedging Workflows
Map a thesis or exposure to candidate event markets and monitoring paths.
How we compute these odds
SimpleFunctions aggregates live prediction-market contracts from Kalshi and Polymarket. Each slug groups contracts that resolve on the same underlying event, identified by venue event_id.
For binary slugs, the headline probability is the liquidity-weighted mid-price across all bound contracts. For multi-outcome slugs (e.g. elections with 3+ candidates), the headline is the leader’s price; we never arithmetically average disjoint outcomes — that would produce a number with no real-world meaning.
Snapshots refresh every 5 minutes during market hours; daily aggregates are computed at 04:00 UTC. The 30-day sparkline is drawn from per-ticker daily means stored in market_indicator_daily; 24h delta and movement events are derived from the same source.