SimpleFunctions

Phoenix wins by over 9.5 points

Phoenix wins by over 9.5 points is priced at 10¢ midpoint on Kalshi. Current book: 9¢ bid, 11¢ ask, 2¢ spread. This outcome ranks #7 of 7 inside KXWNBASPREAD-26MAY29PHXNY.

Price history

10¢ current

+8¢
0¢10¢
May 28, 2026May 28, 2026

Contract brief

If Phoenix wins the Phoenix vs New York women's professional basketball game originally scheduled for May 29, 2026 by more than 9.5 points, then the market resolves to Yes.

Outcome

Phoenix wins by over 9.5 points

Rank

#7 of 7

Leader

New York wins by over 5.5 points 52¢

Range

9¢-52¢

Family volume

$93

Identifier

KXWNBASPREAD-26MAY29PHXNY-PHX10

May 28, 2026, 7:08 PM UTC · 19m ago

Implied probability

10¢
Bid/ask midpoint
May 28, 2026, 7:08 PM UTC · 19m ago

Bid

Ask

11¢

Spread

Reported volume

$0

Family rank

#7 of 7

7 outcomes · KXWNBASPREAD-26MAY29PHXNY

Closes

Jun 12, 2026

Family volume

$93

Orderbook snapshot

9 / 11¢

Kalshi
2¢ spread
BidSize
9¢43
8¢420
7¢62
6¢354
5¢3.0K
AskSize
11¢190
12¢16
13¢82
14¢9
15¢18

Contract terms

What resolves this market.

YES condition

If Phoenix wins the Phoenix vs New York women's professional basketball game originally scheduled for May 29, 2026 by more than 9.5 points, then the market resolves to Yes.

Venue

Kalshi

Closes

Jun 12, 2026

Identifier

KXWNBASPREAD-26MAY29PHXNY-PHX10

SF Signal
SF Index
24308.76
Regime
neutral

Indicators

Yield, cliff risk, volatility, and regime.

IY (Yes)

24308.8%

IY (No)

237.8%

Adj IY

24309%

CRI

10

RV

6227%

VR

1.61

Regime

neutral

Score

0.5

Full indicator table

24308.8%
237.8%
Adj IY
24309%
10
RV
6227%
VR
1.61
IAR
1.3/h
Overround
0.8%

Related readings

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

Browse library
Opinionessay

Prediction market liquidity: why depth matters more than volume for serious traders

Why orderbook depth matters more than volume for prediction market traders. Real Kalshi examples, liquidity scoring framework, and how to avoid slippage.

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

Information Finance Has Arrived: A Material Map of Prediction Markets in Q2 2026

Combined Kalshi + Polymarket volume hit $66B in just four months of 2026 — already greater than the entire 2025 industry total. Bernstein projects $1T by 2030. Two venues hold 95% of US share. The distribution layer fragmented across nine retail surfaces. AI agents are 30% of Polymarket wallet activ

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.

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.