SimpleFunctions

3+ threes for Kelsey Mitchell

Kelsey Mitchell: 3+ threes is priced at 46¢ on Kalshi. Current book: 42¢ bid, 43¢ ask, 1¢ spread. This page tracks a standalone prediction-market contract.

Price history

46¢ current

+42¢
0¢25¢50¢
May 27, 2026May 28, 2026

Contract brief

If Kelsey Mitchell records 3+ three pointers in the Indiana at Golden State women's professional basketball game originally scheduled for May 28, 2026, then the market resolves to Yes.

Outcome

Kelsey Mitchell: 3+ threes

Rank

Standalone

Leader

Range

Family volume

$21

Identifier

KXWNBA3PT-26MAY28INDGS-INDKMITCHELL0-3

May 28, 2026, 7:08 PM UTC · 2h ago

Implied probability

46¢
Latest venue quote
May 28, 2026, 7:08 PM UTC · 2h ago

Bid

42¢

Ask

43¢

Spread

24h volume

$21

Family rank

Standalone

Standalone contract

Closes

Jun 12, 2026

Family volume

$21

Orderbook snapshot

42 / 43¢

Kalshi
1¢ spread
BidSize
42¢3.2K
41¢2.4K
40¢663
39¢3.6K
34¢2.3K
AskSize
43¢165
44¢304
45¢400
47¢738
48¢2.9K

Contract terms

What resolves this market.

YES condition

If Kelsey Mitchell records 3+ three pointers in the Indiana at Golden State women's professional basketball game originally scheduled for May 28, 2026, then the market resolves to Yes.

Venue

Kalshi

Closes

Jun 12, 2026

Identifier

KXWNBA3PT-26MAY28INDGS-INDKMITCHELL0-3

SF Signal
SF Index
3676.63
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

$21

Outcomes

1

Highest price

Kelsey Mitchell: 3+ threes 46¢

Current share

100%

Indicators

Yield, cliff risk, volatility, and regime.

IY (Yes)

3676.6%

IY (No)

1775.5%

Adj IY

3677%

CRI

1

RV

7127%

VR

3.64

Regime

neutral

Score

0.5

Full indicator table

3676.6%
1775.5%
Adj IY
3677%
1
RV
7127%
VR
3.64
IAR
1.2/h
Overround
2.5%

Odds pages

Related prediction questions

Browse odds

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.

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.

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.

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.