SimpleFunctions
KalshiMay 26, 202614 days left

Game 4: Oklahoma City at Los Angeles L Winner?

By SimpleFunctions· Last verified 11 May 2026Methodology

This contract is priced at 82¢ on Kalshi. Current book: 81¢ bid, 82¢ ask, 1¢ spread.

Implied probability

82¢
$1.0M volume
$942K liquidity
32% of event volume

Event outcomes

2

Family volume

$3.2M

Best sibling

Los Angeles L 18¢

Ticker

KXNBAGAME-26MAY11OKCLAL-OKC

Market snapshot

Oklahoma City in market context.

This page tracks the Kalshi contract for Game 4: Oklahoma City at Los Angeles L Winner?. The displayed quote is 82¢ from the latest venue quote. The cached market record reports 24h volume of $721K. In the Game 4: Oklahoma City at Los Angeles L Winner family, this outcome ranks #1 of 2 by current quote across 2 sibling outcomes. The indicator bundle was refreshed May 11, 2026, 6:38 PM UTC.

Outcome

Oklahoma City

Family rank

#1 of 2

Venue

Kalshi

Current quote

82¢

Quote source

Latest venue quote

Timing

Listed until May 26, 2026

24h volume

$721K

Family context

2 outcomes · Game 4: Oklahoma City at Los Angeles L Winner

Quote range

18¢-81¢

Family leader

Oklahoma City 81¢

Last updated

May 11, 2026, 6:38 PM UTC · 6m ago

Venue identifier: KXNBAGAME-26MAY11OKCLAL-OKC. Family volume: $3.2M.

Price history

82¢ current

+69¢
25¢50¢75¢100¢
May 3, 2026May 11, 2026

Orderbook snapshot

81 / 82¢

Kalshi
1¢ spread
BidSize
81¢899K
80¢231K
79¢14K
78¢2.0K
77¢5.6K
AskSize
82¢1.7M
83¢3.6M
84¢1.7M
85¢388K
86¢79K

Contract terms

Resolution, venue, and identifiers.

Resolution rules

If Oklahoma City wins the Game 4: Oklahoma City at Los Angeles L professional basketball game originally scheduled for May 11, 2026, then the market resolves to Yes.

Venue

Kalshi

Closes

May 26, 2026

Identifier

KXNBAGAME-26MAY11OKCLAL-OKC

SF Signal
SF Index
10727.39
Regime
neutral

Event family

Game 4: Oklahoma City at Los Angeles L Winner.

This view keeps the individual contract next to its sibling outcomes. For long-tail search traffic, this is the useful context: where the current price sits inside the event, how much volume exists around the family, and which outcomes have actual depth.

Total volume

$3.2M

Outcomes

2

Highest price

Oklahoma City 81¢

Current share

22%

Indicators

Yield, cliff risk, volatility, and regime.

IY (Yes)

597.6%

IY (No)

10861.0%

Adj IY

10727%

CRI

4

RV

136%

VR

0.52

Regime

neutral

Score

0.5

Full indicator table

597.6%
10861.0%
Adj IY
10727%
4
RV
136%
VR
0.52
IAR
0.7/h
LAS
0.01

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.

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.