The Mandalorian and Grogu Rotten Tomatoes score for Star Wars
Above 61 is priced at 87¢ on Kalshi. Current book: 85¢ bid, 87¢ ask, 2¢ spread. This outcome ranks #8 of 16 inside Star Wars: The Mandalorian and Grogu Rotten Tomatoes score?: Above.
Price history
87¢ current
+17¢Contract brief
If Star Wars: The Mandalorian and Grogu has a Tomatometer score of above 61 on May 25, 2026 at 10:00 AM ET, then the market resolves to Yes.
Outcome
Above 61
Rank
#8 of 16
Leader
Above 55 99¢
Range
1¢-99¢
Family volume
$237K
Identifier
KXRT-STA-61
May 24, 2026, 1:38 PM UTC · 2m ago
Implied probability
Bid
85¢
Ask
87¢
Spread
2¢
24h volume
$6K
Family rank
#8 of 16
16 outcomes · Star Wars: The Mandalorian and Grogu Rotten Tomatoes score?: Above
Closes
May 25, 2026
Family volume
$237K
Orderbook snapshot
85 / 87¢
Contract terms
What resolves this market.
YES condition
If Star Wars: The Mandalorian and Grogu has a Tomatometer score of above 61 on May 25, 2026 at 10:00 AM ET, then the market resolves to Yes.
Venue
Kalshi
Closes
May 25, 2026
Identifier
KXRT-STA-61
Event family
Star Wars: The Mandalorian and Grogu Rotten Tomatoes score?: Above.
The same race as a probability stack: rank, volume, and where this contract sits against the other outcomes.
Total volume
$237K
Outcomes
16
Highest price
Above 55 99¢
Current share
2%
Above 55
kalshi · KXRT-STA-55
Above 50
kalshi · KXRT-STA-50
Above 45
kalshi · KXRT-STA-45
Above 58
kalshi · KXRT-STA-58
Above 60
kalshi · KXRT-STA-60
Above 59
kalshi · KXRT-STA-59
Above 57
kalshi · KXRT-STA-57
Above 61
kalshi · KXRT-STA-61
Above 62
kalshi · KXRT-STA-62
Above 63
kalshi · KXRT-STA-63
Above 64
kalshi · KXRT-STA-64
Above 65
kalshi · KXRT-STA-65
Above 70
kalshi · KXRT-STA-70
Above 75
kalshi · KXRT-STA-75
Above 80
kalshi · KXRT-STA-80
Above 95
kalshi · KXRT-STA-95
Browse this series
Indicators
Yield, cliff risk, volatility, and regime.
Regime
neutral
Score
0.5
Full indicator table
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: 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.
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.
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.
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.
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 87% 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.