Georgia Tech · KXNCAAFACCREGTOP-27T5
Georgia Tech is priced at 40¢ on Kalshi. Current book: 9¢ bid, 29¢ ask, 20¢ spread. This outcome ranks #7 of 14 inside KXNCAAFACCREGTOP-27T5.
Price history
40¢ current
+27¢Contract brief
If Georgia Tech finishes in the top 5 in the Atlantic Coast Conference in the 2026 college football regular season, then the market resolves to Yes.
Outcome
Georgia Tech
Rank
#7 of 14
Leader
Miami (FL) 87¢
Range
1¢-87¢
Family volume
$0
Identifier
KXNCAAFACCREGTOP-27T5-GT
Sep 17, 2026, 9:08 AM UTC · 29m ago
Implied probability
Bid
9¢
Ask
29¢
Spread
20¢
Reported volume
$17
Family rank
#7 of 14
14 outcomes · KXNCAAFACCREGTOP-27T5
Closes
Feb 7, 2027
Family volume
$0
Orderbook snapshot
9 / 29¢
Contract terms
What resolves this market.
YES condition
If Georgia Tech finishes in the top 5 in the Atlantic Coast Conference in the 2026 college football regular season, then the market resolves to Yes.
Venue
Kalshi
Closes
Feb 7, 2027
Identifier
KXNCAAFACCREGTOP-27T5-GT
Event family
KXNCAAFACCREGTOP-27T5.
The same race as a probability stack: rank, volume, and where this contract sits against the other outcomes.
Total volume
$0
Outcomes
14
Highest price
Miami (FL) 87¢
Current share
—
Miami (FL)
kalshi · KXNCAAFACCREGTOP-27T5-MIA
Clemson
kalshi · KXNCAAFACCREGTOP-27T5-CLEM
SMU
kalshi · KXNCAAFACCREGTOP-27T5-SMU
Louisville
kalshi · KXNCAAFACCREGTOP-27T5-LOU
Pittsburgh
kalshi · KXNCAAFACCREGTOP-27T5-PITT
Virginia Tech
kalshi · KXNCAAFACCREGTOP-27T5-VT
Georgia Tech
kalshi · KXNCAAFACCREGTOP-27T5-GT
Virginia
kalshi · KXNCAAFACCREGTOP-27T5-UVA
Florida St.
kalshi · KXNCAAFACCREGTOP-27T5-FSU
North Carolina
kalshi · KXNCAAFACCREGTOP-27T5-UNC
Syracuse
kalshi · KXNCAAFACCREGTOP-27T5-SYR
Duke
kalshi · KXNCAAFACCREGTOP-27T5-DUKE
California
kalshi · KXNCAAFACCREGTOP-27T5-CAL
Stanford
kalshi · KXNCAAFACCREGTOP-27T5-STAN
Indicators
Yield, cliff risk, volatility, and regime.
Regime
neutral
Score
0.5
Full indicator table
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.
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.
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.
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 40% 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.