SimpleFunctions

Shohei Ohtani · KXESPYS-26BMP

Shohei Ohtani is priced at 98¢ on Kalshi. Current book: 98¢ bid, 99¢ ask, 1¢ spread. This outcome ranks #1 of 5 inside KXESPYS-26BMP.

Price history

98¢ current

+96¢
0¢25¢50¢75¢100¢
Jun 30, 2026Jul 12, 2026

Contract brief

If Shohei Ohtani wins Best Pro Baseball Player at the 2026 ESPYS, then the market resolves to Yes.

Outcome

Shohei Ohtani

Rank

#1 of 5

Leader

Shohei Ohtani 98¢

Range

1¢-98¢

Family volume

$85

Identifier

KXESPYS-26BMP-SHO

Jul 12, 2026, 3:53 AM UTC · 0m ago

Implied probability

98¢
Latest venue quote
Jul 12, 2026, 3:53 AM UTC · 0m ago

Bid

98¢

Ask

99¢

Spread

24h volume

$40

Family rank

#1 of 5

5 outcomes · KXESPYS-26BMP

Closes

Jul 16, 2027

Family volume

$85

Orderbook snapshot

98 / 99¢

Kalshi
1¢ spread
BidSize
98¢59
97¢5.0K
78¢500
61¢2.1K
60¢50
AskSize
99¢246

Contract terms

What resolves this market.

YES condition

If Shohei Ohtani wins Best Pro Baseball Player at the 2026 ESPYS, then the market resolves to Yes.

Venue

Kalshi

Closes

Jul 16, 2027

Identifier

KXESPYS-26BMP-SHO

SF Signal
Regime
neutral

Event family

KXESPYS-26BMP.

The same race as a probability stack: rank, volume, and where this contract sits against the other outcomes.

Total volume

$85

Outcomes

5

Highest price

Shohei Ohtani 98¢

Current share

47%

Indicators

Yield, cliff risk, volatility, and regime.

Regime

neutral

Score

0.5

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.