SimpleFunctions
KalshiJul 7, 202665 days left

Will Georgia Tech win the College Baseball World Series?

This contract is priced at 11¢ on Kalshi. Current book: 10¢ bid, 11¢ ask, 1¢ spread.

Implied probability

11¢
$161K volume
$101K liquidity
330% of event volume

Event outcomes

16

Family volume

$49K

Best sibling

Texas A&M 5¢

Ticker

KXNCAABASEBALL-26-GT

Price history

11¢ current

+3¢
25¢50¢75¢100¢
Apr 9, 2026May 2, 2026

Orderbook snapshot

10 / 11¢

Kalshi
1¢ spread
BidSize
10¢364
9¢1.0K
8¢1.6K
6¢1
5¢1
AskSize
11¢919
12¢338
13¢4
14¢107
15¢1.4K

Contract terms

Resolution, venue, and identifiers.

Resolution rules

If Georgia Tech is the 2026 College Baseball World Series champion, then the market resolves to Yes.

Venue

Kalshi

Closes

Jul 7, 2026

Identifier

KXNCAABASEBALL-26-GT

Indicators

Yield, cliff risk, volatility, and regime.

IY (Yes)

5090.2%

IY (No)

62.8%

Adj IY

2291%

CRI

9

Overround

-0.4%

LAS

0.10

Regime

neutral

Score

0.341

Observability

low

Event type

sports

Full indicator table

5090.2%
62.8%
Adj IY
2291%
9
Overround
-0.4%
LAS
0.10

Odds pages

Related prediction questions

Browse odds

Related readings

Matched from SimpleFunctions blog, opinions, technical guides, concepts, and learn pages.

Browse library
Blogmarkets

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.

Opinioncomparison

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.

Blogtech

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.

Blogmarkets

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.

Technicalguide

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.

Opinionanalysis

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.

Open index