SimpleFunctions

Omonia Nicosia vs Kairat Winner

Omonia Nicosia vs Kairat Winner is priced at 58¢ on Kalshi. Current book: 57¢ bid, 58¢ ask, 1¢ spread. This page tracks a standalone prediction-market contract.

Price history

58¢ current

+20¢
0¢25¢50¢
Jul 17, 2026Jul 20, 2026

Contract brief

If Omonia Nicosia wins the Omonia Nicosia vs Kairat professional Champions League soccer game originally scheduled for Jul 22, 2026 after 90 minutes plus stoppage time (does not include extra time or penalties), then the market resolves to Yes.

Outcome

Omonia Nicosia vs Kairat Winner

Rank

Standalone

Leader

Range

Family volume

$23K

Identifier

KXUCLGAME-26JUL22OMOALM-OMO

Jul 22, 2026, 6:01 AM UTC · 0m ago

Implied probability

58¢
Latest venue quote
Jul 22, 2026, 6:01 AM UTC · 0m ago

Bid

57¢

Ask

58¢

Spread

24h volume

$21K

Family rank

Standalone

Standalone contract

Closes

Aug 5, 2026

Family volume

$23K

Orderbook snapshot

57 / 58¢

Kalshi
1¢ spread
BidSize
57¢516
56¢159
55¢2.2K
54¢10K
53¢11K
AskSize
58¢10K
59¢12K
60¢2.8K
61¢52
62¢1.1K

Contract terms

What resolves this market.

YES condition

If Omonia Nicosia wins the Omonia Nicosia vs Kairat professional Champions League soccer game originally scheduled for Jul 22, 2026 after 90 minutes plus stoppage time (does not include extra time or penalties), then the market resolves to Yes.

Venue

Kalshi

Closes

Aug 5, 2026

Identifier

KXUCLGAME-26JUL22OMOALM-OMO

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

$23K

Outcomes

1

Highest price

Omonia Nicosia vs Kairat Winner 58¢

Current share

100%

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
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.

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.

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.