SimpleFunctions

What will be Sandy Alcantara's next team

Los Angeles D is priced at 22¢ on Kalshi. Current book: 21¢ bid, 22¢ ask, 1¢ spread. This outcome ranks #2 of 16 inside What will be Sandy Alcantara's next team.

Price history

22¢ current

+20¢
0¢10¢20¢
May 27, 2026Jun 23, 2026

Contract brief

If Sandy Alcantara's next team is Los Angeles D before Mar 25, 2027, then the market resolves to Yes.

Outcome

Los Angeles D

Rank

#2 of 16

Leader

Miami 30¢

Range

1¢-30¢

Family volume

$19

Identifier

KXNEXTTEAMMLB-27SALCANTARA-LAD

Jun 24, 2026, 1:08 AM UTC · 15m ago

Implied probability

22¢
Latest venue quote
Jun 24, 2026, 1:08 AM UTC · 15m ago

Bid

21¢

Ask

22¢

Spread

24h volume

$6

Family rank

#2 of 16

16 outcomes · What will be Sandy Alcantara's next team

Closes

Mar 25, 2027

Family volume

$19

Orderbook snapshot

21 / 22¢

Kalshi
1¢ spread
BidSize
100¢250
21¢12
14¢250
4¢415
AskSize
22¢354
63¢453
66¢250
70¢100
80¢100

Contract terms

What resolves this market.

YES condition

If Sandy Alcantara's next team is Los Angeles D before Mar 25, 2027, then the market resolves to Yes.

Venue

Kalshi

Closes

Mar 25, 2027

Identifier

KXNEXTTEAMMLB-27SALCANTARA-LAD

SF Signal
SF Index
477.07
Regime
neutral

Indicators

Yield, cliff risk, volatility, and regime.

IY (Yes)

500.9%

IY (No)

35.4%

Adj IY

477%

CRI

4

RV

1286%

VR

4.02

Regime

neutral

Score

0.5

Full indicator table

500.9%
35.4%
Adj IY
477%
4
RV
1286%
VR
4.02
IAR
0.6/h
Overround
-0.1%
LAS
0.05

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.

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.

Blogmacro

US Recession 2025? What 1% Prediction Market Odds Get Right—and Wrong—About the Cycle

Prediction markets put 2025 US recession odds near 1%, while yield curves, economic indicators, and institutional forecasts point to much higher risk. This deep dive compares market pricing to historical base rates, Federal Reserve policy, and forecasting models to see if investors are underpricing recession risk.

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.

Bloggeopolitics

Venezuela Opposition, Maria Corina Machado, and 2026 Prediction Markets: What Traders Are Really Pricing In

Deep‑dive for political risk analysts and traders on Venezuela’s opposition, María Corina Machado’s strategy, sanctions and diaspora leverage, and what 2026 prediction markets are really pricing in about regime change odds.

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.