SimpleFunctions

Conor McGregor · KXUFCFIGHT-26JUL11MCGHOL

Conor McGregor is priced at 31¢ on Kalshi. Current book: 29¢ bid, 31¢ ask, 2¢ spread. This outcome ranks #2 of 2 inside KXUFCFIGHT-26JUL11MCGHOL.

Price history

31¢ current

+10¢
25¢50¢
May 17, 2026May 25, 2026

Contract brief

If Conor McGregor wins the Conor McGregor vs Max Holloway professional MMA fight originally scheduled for Jul 11, 2026, then the market resolves to Yes.

Outcome

Conor McGregor

Rank

#2 of 2

Leader

Max Holloway 70¢

Range

29¢-70¢

Family volume

$49K

Identifier

KXUFCFIGHT-26JUL11MCGHOL-MCG

May 26, 2026, 6:08 PM UTC · 1m ago

Implied probability

31¢
Latest venue quote
May 26, 2026, 6:08 PM UTC · 1m ago

Bid

29¢

Ask

31¢

Spread

24h volume

$43K

Family rank

#2 of 2

2 outcomes · KXUFCFIGHT-26JUL11MCGHOL

Closes

Jul 26, 2026

Family volume

$49K

Orderbook snapshot

29 / 31¢

Kalshi
2¢ spread
BidSize
29¢23K
28¢26K
27¢17K
26¢15K
25¢32K
AskSize
31¢92K
32¢46K
33¢47K
34¢44K
35¢11K

Contract terms

What resolves this market.

YES condition

If Conor McGregor wins the Conor McGregor vs Max Holloway professional MMA fight originally scheduled for Jul 11, 2026, then the market resolves to Yes.

Venue

Kalshi

Closes

Jul 26, 2026

Identifier

KXUFCFIGHT-26JUL11MCGHOL-MCG

SF Signal
SF Index
689.06
Regime
neutral

Event family

KXUFCFIGHT-26JUL11MCGHOL.

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

Total volume

$49K

Outcomes

2

Highest price

Max Holloway 70¢

Current share

88%

Indicators

Yield, cliff risk, volatility, and regime.

Regime

neutral

Score

0.5

Full indicator table

1480.3%
247.0%
Adj IY
689%
2
LAS
0.07

Odds pages

Related prediction questions

Browse odds

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.

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.

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.