SimpleFunctions

Mercer wins: Mercer · KXNCAAFGAME-26SEP05PREMER

Mercer wins: Mercer is priced at 81¢ midpoint on Kalshi. Current book: 72¢ bid, 90¢ ask, 18¢ spread. This outcome ranks #1 of 2 inside KXNCAAFGAME-26SEP05PREMER.

Price history

81¢ current

+74¢
0¢25¢50¢75¢
Aug 18, 2026Aug 24, 2026

Contract brief

If Mercer wins the Presbyterian vs Mercer college football game originally scheduled for Sep 5, 2026, then the market resolves to Yes.

Outcome

Mercer wins: Mercer

Rank

#1 of 2

Leader

Mercer wins: Mercer 72¢

Range

7¢-72¢

Family volume

$0

Identifier

KXNCAAFGAME-26SEP05PREMER-MER

Aug 24, 2026, 3:38 PM UTC · 17m ago

Implied probability

81¢
Bid/ask midpoint
Aug 24, 2026, 3:38 PM UTC · 17m ago

Bid

72¢

Ask

90¢

Spread

18¢

Reported volume

$0

Family rank

#1 of 2

2 outcomes · KXNCAAFGAME-26SEP05PREMER

Closes

Sep 7, 2026

Family volume

$0

Orderbook snapshot

72 / 90¢

Kalshi
18¢ spread
BidSize
72¢1
71¢630
70¢605
69¢336
68¢23K
AskSize
90¢450
93¢300
94¢399
95¢580
96¢700

Contract terms

What resolves this market.

YES condition

If Mercer wins the Presbyterian vs Mercer college football game originally scheduled for Sep 5, 2026, then the market resolves to Yes.

Venue

Kalshi

Closes

Sep 7, 2026

Identifier

KXNCAAFGAME-26SEP05PREMER-MER

SF Signal
SF Index
3289.77
Regime
neutral

Event family

KXNCAAFGAME-26SEP05PREMER.

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

Total volume

$0

Outcomes

2

Highest price

Mercer wins: Mercer 72¢

Current share

Indicators

Yield, cliff risk, volatility, and regime.

Regime

neutral

Score

0.5

Full indicator table

995.1%
6579.5%
Adj IY
3290%
3

Related readings

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

Browse library
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

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.

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.

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.

Opinionanalysis

Implied Yield vs Raw Probability: Why Bond-Adjacent Prediction Markets Need a Different Lens

Why fixed-income-adjacent prediction-market contracts need to be priced in implied yield, not raw probability, with two real Kalshi Fed-decision contracts as a case study.

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.