SimpleFunctions
KalshiJun 2, 2026

Will Minnesota win 4-1 in the Minnesota vs San Antonio 2nd Round series in the 2026 Pro Basketball Playoffs?

This contract is priced at 3¢ on Kalshi. Current book: 1¢ bid, 2¢ ask, 1¢ spread.

Implied probability

3¢
$4K volume
$4K liquidity
13% of event volume

Event outcomes

8

Family volume

$28K

Best sibling

SAS wins 4-2 16¢

Ticker

KXNBASERIESSCORE-26MINSASR2-MIN41

Price history

3¢ current

+1¢
25¢50¢75¢100¢
May 1, 2026May 1, 2026

Orderbook snapshot

1 / 2¢

Kalshi
1¢ spread
BidSize
100¢1.8K
AskSize
2¢30
3¢2.2K
4¢1.3K
5¢3.3K
6¢501

Contract terms

Resolution, venue, and identifiers.

Resolution rules

If the series score is Minnesota wins 4-1 in the Minnesota vs San Antonio 2nd Round series in the 2026 Pro Basketball Playoffs, then the market resolves to Yes.

Venue

Kalshi

Closes

Jun 2, 2026

Identifier

KXNBASERIESSCORE-26MINSASR2-MIN41

Event family

KXNBASERIESSCORE-26MINSASR2.

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

$28K

Outcomes

8

Highest price

SAS wins 4-0 34¢

Current share

7%

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

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.

Technicalguide

Computing Liquidity Availability Score from the Orderbook

Step-by-step guide to computing the Liquidity Availability Score in TypeScript and Python, with edge cases for thin orderbooks, missing data, and the warm-cron coverage limitation.

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.

SimpleFunctions context

Index, screen, query, and monitor.

Open index