San Diego vs San Francisco First Inning Run?
This contract is priced at 56¢ midpoint on Kalshi. Current book: 46¢ bid, 66¢ ask, 20¢ spread.
Implied probability
Event outcomes
1
Family volume
$0
Best sibling
—
Ticker
KXMLBRFI-26MAY052145SDSF
Price history
56¢ current
+14¢Orderbook snapshot
46 / 66¢
Contract terms
Resolution, venue, and identifiers.
Resolution rules
If either team scores a run in the first inning of the San Diego vs San Francisco professional baseball game originally scheduled for May 5, 2026 at 9:45 PM EDT, then the market resolves to Yes.
Venue
Kalshi
Closes
May 9, 2026
Identifier
KXMLBRFI-26MAY052145SDSF
Event family
This market.
This view keeps the individual contract next to its sibling outcomes. For long-tail search traffic, this is the useful context: where the current price sits inside the event, how much volume exists around the family, and which outcomes have actual depth.
Total volume
$0
Outcomes
1
Highest price
San Diego vs San Francisco First Inning Run 56¢
Current share
—
San Diego vs San Francisco First Inning Run
kalshi · KXMLBRFI-26MAY052145SDSF
Indicators
Yield, cliff risk, volatility, and regime.
Odds pages
Related prediction questions
Related readings
Matched from SimpleFunctions blog, opinions, technical guides, concepts, and learn pages.
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.
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.
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.
MCP Servers for Prediction Markets: Connect Claude Code to Kalshi and Polymarket
Connect Claude Code, Cursor, or Cline to Kalshi and Polymarket prediction markets via MCP. One-line setup, 18 tools, real-time market data for AI agents.
How to Scan Prediction Market Orderbooks: Spread, Depth, and Liquidity Analysis
Practical guide to analyzing orderbook data from Kalshi and Polymarket. Learn spread, depth, liquidity scoring, and executable edge calculation.
Your First Prediction Market Trade: End-to-End CLI Walkthrough
Step-by-step CLI tutorial for your first prediction market trade. Install, scan, create a thesis, find edges, check liquidity, place an order, and monitor — all from the command line.
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 56% 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.