SimpleFunctions

Notre Dame · KXNCAAFFINALIST-27

Notre Dame is priced at 25¢ on Kalshi. Current book: 25¢ bid, 30¢ ask, 5¢ spread. This outcome ranks #2 of 16 inside KXNCAAFFINALIST-27.

Price history

25¢ current

20¢30¢
May 28, 2026Jun 23, 2026

Contract brief

If Notre Dame is one of the teams to reach the College Football Playoff National Championship Game, then the market resolves to Yes.

Outcome

Notre Dame

Rank

#2 of 16

Leader

Ohio St. 26¢

Range

3¢-26¢

Family volume

$3K

Identifier

KXNCAAFFINALIST-27-ND

Jun 24, 2026, 4:38 PM UTC · 25m ago

Implied probability

25¢
Latest venue quote
Jun 24, 2026, 4:38 PM UTC · 25m ago

Bid

25¢

Ask

30¢

Spread

Reported volume

$5K

Family rank

#2 of 16

16 outcomes · KXNCAAFFINALIST-27

Closes

Jan 25, 2027

Family volume

$3K

Orderbook snapshot

25 / 30¢

Kalshi
5¢ spread
BidSize
25¢255
24¢250
23¢197
18¢81
15¢45
AskSize
30¢105
35¢38
36¢55
38¢571
39¢4.0K

Contract terms

What resolves this market.

YES condition

If Notre Dame is one of the teams to reach the College Football Playoff National Championship Game, then the market resolves to Yes.

Venue

Kalshi

Closes

Jan 25, 2027

Identifier

KXNCAAFFINALIST-27-ND

SF Signal
SF Index
254.73
Regime
taker

Indicators

Yield, cliff risk, volatility, and regime.

IY (Yes)

509.5%

IY (No)

56.6%

Adj IY

255%

CRI

3

Overround

1.5%

Regime

taker

Score

0.636

Observability

direct

Event type

sports

Full indicator table

509.5%
56.6%
Adj IY
255%
3
Overround
1.5%

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.

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.

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.

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.