SimpleFunctions

Brook Sibrian to win Jessica Nery Plata vs Brook Sibrian

Brook Sibrian is priced at 18¢ midpoint on Kalshi. Current book: 15¢ bid, 21¢ ask, 6¢ spread. This outcome ranks #2 of 2 inside Jessica Nery Plata vs Brook Sibrian Winner.

Price history

18¢ current

+14¢
0¢10¢20¢
May 28, 2026May 28, 2026

Contract brief

If Brook Sibrian wins the Jessica Nery Plata vs Brook Sibrian boxing match originally scheduled for May 30, 2026, then the market resolves to Yes.

Outcome

Brook Sibrian

Rank

#2 of 2

Leader

Jessica Nery Plata 78¢

Range

15¢-78¢

Family volume

$1

Identifier

KXBOXING-26MAY30PLATASIBRIA-SIBRIA

May 28, 2026, 11:38 PM UTC · 7m ago

Implied probability

18¢
Bid/ask midpoint
May 28, 2026, 11:38 PM UTC · 7m ago

Bid

15¢

Ask

21¢

Spread

Reported volume

$0

Family rank

#2 of 2

2 outcomes · Jessica Nery Plata vs Brook Sibrian Winner

Closes

Jun 13, 2026

Family volume

$1

Orderbook snapshot

15 / 21¢

Kalshi
6¢ spread
BidSize
15¢100
14¢1.2K
12¢1.0K
11¢1.0K
8¢1.0K
AskSize
21¢1.0K
22¢1.2K
23¢1.0K
24¢1.0K
28¢1.0K

Contract terms

What resolves this market.

YES condition

If Brook Sibrian wins the Jessica Nery Plata vs Brook Sibrian boxing match originally scheduled for May 30, 2026, then the market resolves to Yes.

Venue

Kalshi

Closes

Jun 13, 2026

Identifier

KXBOXING-26MAY30PLATASIBRIA-SIBRIA

SF Signal
SF Index
12948.93
Regime
neutral

Event family

Jessica Nery Plata vs Brook Sibrian Winner.

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

Total volume

$1

Outcomes

2

Highest price

Jessica Nery Plata 78¢

Current share

0%

Indicators

Yield, cliff risk, volatility, and regime.

IY (Yes)

12948.9%

IY (No)

403.3%

Adj IY

12949%

CRI

6

RV

2870%

VR

1.51

Regime

neutral

Score

0.5

Full indicator table

12948.9%
403.3%
Adj IY
12949%
6
RV
2870%
VR
1.51
IAR
1.2/h

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.

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.

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.

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.