Fernando Tatis Jr.: 4+ total bases?
This contract is priced at 20¢ on Kalshi. Current book: 0¢ bid, 100¢ ask, 100¢ spread.
Implied probability
Event outcomes
1
Family volume
$178
Best sibling
—
Ticker
KXMLBTB-26MAY072210STLSD-SDFTATIS23-4
Market snapshot
Fernando Tatis Jr.: 4+ total bases in market context.
This page tracks the Kalshi contract for Fernando Tatis Jr.: 4+ total bases?. The displayed quote is 20¢ from the latest venue quote. The cached market record reports reported volume of $178. It is currently represented as a standalone prediction-market contract. The indicator bundle was refreshed May 17, 2026, 8:58 PM UTC.
Outcome
Fernando Tatis Jr.: 4+ total bases
Family rank
—
Venue
Kalshi
Current quote
20¢
Quote source
Latest venue quote
Timing
Past listed close May 8, 2026
Reported volume
$178
Family context
Standalone contract
Quote range
—
Family leader
—
Last updated
May 17, 2026, 8:58 PM UTC · 0m ago
Venue identifier: KXMLBTB-26MAY072210STLSD-SDFTATIS23-4. Family volume: $178.
Price history
20¢ current
+18¢Orderbook snapshot
0 / 100¢
Contract terms
Resolution, venue, and identifiers.
Resolution rules
If Fernando Tatis Jr. records 4+ total bases in the St. Louis vs San Diego professional baseball game originally scheduled for May 7, 2026 at 10:10 PM EDT, then the market resolves to Yes.
Venue
Kalshi
Closes
May 8, 2026
Identifier
KXMLBTB-26MAY072210STLSD-SDFTATIS23-4
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
$178
Outcomes
1
Highest price
Fernando Tatis Jr.: 4+ total bases 20¢
Current share
100%
Fernando Tatis Jr.: 4+ total bases
kalshi · KXMLBTB-26MAY072210STLSD-SDFTATIS23-4
Browse this series
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.
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: Mechanics, Fees, Regulation, Liquidity (2026)
Side-by-side comparison of Kalshi and Polymarket in 2026. Fee math, calibration data, withdrawal speed, and a decision tree for picking the right venue.
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.
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.
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.
Information Finance Has Arrived: A Material Map of Prediction Markets in Q2 2026
Combined Kalshi + Polymarket volume hit $66B in just four months of 2026 — already greater than the entire 2025 industry total. Bernstein projects $1T by 2030. Two venues hold 95% of US share. The distribution layer fragmented across nine retail surfaces. AI agents are 30% of Polymarket wallet activ
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 20% 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.