SimpleFunctions
KalshiSep 15, 2026

Will Texas Tech be #1 ranked team on College Football AP Poll week 1 rankings?

This contract is priced at 2¢ midpoint on Kalshi. Current book: 1¢ bid, 3¢ ask, 2¢ spread.

Implied probability

2¢
$0 volume
2.0 LAS liquidity
0% of event volume

Event outcomes

13

Family volume

$558

Best sibling

Ohio St. 45¢

Ticker

KXNCAAFAPRANK-26W1R1-TTU

Market snapshot

Texas Tech in market context.

This page tracks the Kalshi contract for Will Texas Tech be #1 ranked team on College Football AP Poll week 1 rankings?. The displayed quote is 2¢ from the visible bid/ask midpoint because the last venue price is zero. In the KXNCAAFAPRANK-26W1R1 family, this outcome ranks #7 of 13 by current quote across 13 sibling outcomes. The indicator bundle was refreshed May 9, 2026, 5:15 AM UTC.

Outcome

Texas Tech

Family rank

#7 of 13

Venue

Kalshi

Current quote

Quote source

Bid/ask midpoint

Timing

Listed until Sep 15, 2026

Reported volume

Family context

13 outcomes · KXNCAAFAPRANK-26W1R1

Quote range

1¢-45¢

Family leader

Ohio St. 45¢

Last updated

May 9, 2026, 5:15 AM UTC · 0m ago

Venue identifier: KXNCAAFAPRANK-26W1R1-TTU. Family volume: $558.

Price history

2¢ current

25¢50¢75¢100¢
May 9, 2026May 9, 2026

Orderbook snapshot

1 / 3¢

Kalshi
2¢ spread
BidSize
100¢50
AskSize
3¢500
4¢400
71¢2.2K
73¢50
97¢1.9K

Contract terms

Resolution, venue, and identifiers.

Resolution rules

If Texas Tech is ranked #1 on the College Football AP Poll week 1 rankings for the 2026 season, then the market resolves to Yes.

Venue

Kalshi

Closes

Sep 15, 2026

Identifier

KXNCAAFAPRANK-26W1R1-TTU

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.

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