SimpleFunctions
KalshiJul 2, 202660 days left

Will Mikel Brown Jr. be a 1st Round draft pick in 2026?

This contract is priced at 97¢ on Kalshi. Current book: 81¢ bid, 98¢ ask, 17¢ spread.

Implied probability

97¢
$65 volume
$65 liquidity

Event outcomes

16

Family volume

$0

Best sibling

Darryn Peterson 79¢

Ticker

KXNBADRAFTTOP-26-R1-MBRO

Price history

97¢ current

25¢50¢75¢100¢
May 3, 2026May 3, 2026

Orderbook snapshot

81 / 98¢

Kalshi
17¢ spread
BidSize
100¢5.0K
81¢5
80¢922
AskSize
98¢5
99¢50

Contract terms

Resolution, venue, and identifiers.

Resolution rules

If Mikel Brown Jr. is drafted in the 1st Round in the 2026 Pro Basketball Draft, then the market resolves to Yes.

Venue

Kalshi

Closes

Jul 2, 2026

Identifier

KXNBADRAFTTOP-26-R1-MBRO

Indicators

Yield, cliff risk, volatility, and regime.

IY (Yes)

142.7%

IY (No)

2594.1%

Adj IY

1297%

CRI

4

Overround

10.9%

Regime

neutral

Score

0.5

Full indicator table

142.7%
2594.1%
Adj IY
1297%
4
Overround
10.9%

Related readings

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

Browse library
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.

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

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