SimpleFunctions

Will USC go undefeated at home in the 2026 college football regular season

Will USC go undefeated at home in the 2026 college football regular season is priced at 18¢ midpoint on Kalshi. Current book: 8¢ bid, 28¢ ask, 20¢ spread. This page tracks a standalone prediction-market contract.

Price history

18¢ current

+15¢
0¢10¢20¢
Aug 19, 2026Sep 11, 2026

Contract brief

If the USC college football team goes undefeated in home games (excluding neutral site games) in the 2026 college football regular season, then the market resolves to Yes.

Outcome

Will USC go undefeated at home in the 2026 college football regular season

Rank

Standalone

Leader

Range

Family volume

$0

Identifier

KXNCAAFUNDEFEATEDHOME-27-USC

Sep 15, 2026, 11:24 PM UTC · 0m ago

Implied probability

18¢
Bid/ask midpoint
Sep 15, 2026, 11:24 PM UTC · 0m ago

Bid

Ask

28¢

Spread

20¢

Reported volume

$0

Family rank

Standalone

Standalone contract

Closes

Jan 8, 2027

Family volume

$0

Orderbook snapshot

8 / 28¢

Kalshi
20¢ spread
BidSize
8¢1.0K
AskSize
28¢1.0K
77¢40
78¢1.8K
99¢1.0K

Contract terms

What resolves this market.

YES condition

If the USC college football team goes undefeated in home games (excluding neutral site games) in the 2026 college football regular season, then the market resolves to Yes.

Venue

Kalshi

Closes

Jan 8, 2027

Identifier

KXNCAAFUNDEFEATEDHOME-27-USC

SF Signal
Regime
neutral

Event family

This market.

The same race as a probability stack: rank, volume, and where this contract sits against the other outcomes.

Total volume

$0

Outcomes

1

Highest price

Will USC go undefeated at home in the 2026 college football regular season 18¢

Current share

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.

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.

Conceptmethodology

Maker / Taker Regime in Prediction Markets: How to Read the Orderbook State

Three regime states (maker-dominated, taker-dominated, neutral) and how to read which one a Kalshi or Polymarket contract is in. Strategy follows regime, not thesis.

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

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.