SimpleFunctions

Drew Rasmussen · KXMLBALCY-26

Drew Rasmussen is priced at 3¢ on Kalshi. Current book: 3¢ bid, 6¢ ask, 3¢ spread. This outcome ranks #4 of 16 inside KXMLBALCY-26.

Price history

3¢ current

1¢
0¢10¢20¢
Jun 13, 2026Jul 11, 2026

Contract brief

If Drew Rasmussen wins the Pro Baseball American League Cy Young in the 2026 season, then the market resolves to Yes.

Outcome

Drew Rasmussen

Rank

#4 of 16

Leader

Dylan Cease 47¢

Range

1¢-47¢

Family volume

$14K

Identifier

KXMLBALCY-26-DRAS

Jul 12, 2026, 6:38 PM UTC · 21m ago

Implied probability

3¢
Latest venue quote
Jul 12, 2026, 6:38 PM UTC · 21m ago

Bid

Ask

Spread

24h volume

$130

Family rank

#4 of 16

16 outcomes · KXMLBALCY-26

Closes

Dec 8, 2026

Family volume

$14K

Orderbook snapshot

3 / 6¢

Kalshi
3¢ spread
BidSize
100¢150
3¢179
2¢5.6K
AskSize
6¢2.0K
7¢5.5K
8¢334
12¢2.2K
13¢2.2K

Contract terms

What resolves this market.

YES condition

If Drew Rasmussen wins the Pro Baseball American League Cy Young in the 2026 season, then the market resolves to Yes.

Venue

Kalshi

Closes

Dec 8, 2026

Identifier

KXMLBALCY-26-DRAS

SF Signal
SF Index
3964.33
Regime
neutral

Indicators

Yield, cliff risk, volatility, and regime.

IY (Yes)

7928.7%

IY (No)

7.6%

Adj IY

3964%

CRI

32

Overround

-0.1%

Regime

neutral

Score

0.341

Observability

low

Event type

sports

Full indicator table

7928.7%
7.6%
Adj IY
3964%
32
Overround
-0.1%

Odds pages

Related prediction questions

Browse odds

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.

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

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.