What will the announcers say during Thunder vs Spurs Professional Basketball Game
Tech / Technical is priced at 67¢ on Kalshi. Current book: 66¢ bid, 67¢ ask, 1¢ spread. This outcome ranks #6 of 16 inside What will the announcers say during Thunder vs Spurs Professional Basketball Game.
Price history
67¢ current
+64¢Contract brief
If the play by play or color commentator(s) says Tech / Technical as part of Thunder vs Spurs Professional Basketball Game , then the market resolves to Yes.
Outcome
Tech / Technical
Rank
#6 of 16
Leader
Injury / Injured 96¢
Range
1¢-96¢
Family volume
$25K
Identifier
KXNBAMENTION-26MAY28OKCSAS-TECH
May 28, 2026, 5:38 PM UTC · 30m ago
Implied probability
Bid
66¢
Ask
67¢
Spread
1¢
24h volume
$1K
Family rank
#6 of 16
16 outcomes · What will the announcers say during Thunder vs Spurs Professional Basketball Game
Closes
Jun 12, 2026
Family volume
$25K
Orderbook snapshot
66 / 67¢
Contract terms
What resolves this market.
YES condition
If the play by play or color commentator(s) says Tech / Technical as part of Thunder vs Spurs Professional Basketball Game , then the market resolves to Yes.
Venue
Kalshi
Closes
Jun 12, 2026
Identifier
KXNBAMENTION-26MAY28OKCSAS-TECH
Event family
What will the announcers say during Thunder vs Spurs Professional Basketball Game.
The same race as a probability stack: rank, volume, and where this contract sits against the other outcomes.
Total volume
$25K
Outcomes
16
Highest price
Injury / Injured 96¢
Current share
5%
Injury / Injured
kalshi · KXNBAMENTION-26MAY28OKCSAS-INJU
MVP
kalshi · KXNBAMENTION-26MAY28OKCSAS-MVP
Elbow
kalshi · KXNBAMENTION-26MAY28OKCSAS-ELBO
Travel / Travels / Traveled
kalshi · KXNBAMENTION-26MAY28OKCSAS-TRAV
Momentum
kalshi · KXNBAMENTION-26MAY28OKCSAS-MOME
Tech / Technical
kalshi · KXNBAMENTION-26MAY28OKCSAS-TECH
Alley-oop
kalshi · KXNBAMENTION-26MAY28OKCSAS-ALLE
Sweep / Sweeps / Swept
kalshi · KXNBAMENTION-26MAY28OKCSAS-SWEE
Airball / Airballs / Airballed
kalshi · KXNBAMENTION-26MAY28OKCSAS-AIRB
Clutch
kalshi · KXNBAMENTION-26MAY28OKCSAS-CLUT
Buzzer
kalshi · KXNBAMENTION-26MAY28OKCSAS-BUZZ
Triple Double
kalshi · KXNBAMENTION-26MAY28OKCSAS-TRIP
Wingspan
kalshi · KXNBAMENTION-26MAY28OKCSAS-WING
Retire / Retired / Retirement
kalshi · KXNBAMENTION-26MAY28OKCSAS-RETI
GOAT
kalshi · KXNBAMENTION-26MAY28OKCSAS-GOAT
Event does not qualify
kalshi · KXNBAMENTION-26MAY28OKCSAS-NQE
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.
US Recession 2025? What 1% Prediction Market Odds Get Right—and Wrong—About the Cycle
Prediction markets put 2025 US recession odds near 1%, while yield curves, economic indicators, and institutional forecasts point to much higher risk. This deep dive compares market pricing to historical base rates, Federal Reserve policy, and forecasting models to see if investors are underpricing recession risk.
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.
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.
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.
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.
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 67% 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.