SimpleFunctions

Dzmitry Asanau to win Dzmitry Asanau vs Roger Gutierrez

Dzmitry Asanau is priced at 83¢ on Kalshi. Current book: 84¢ bid, 91¢ ask, 7¢ spread. This outcome ranks #1 of 2 inside Dzmitry Asanau vs Roger Gutierrez Winner.

Price history

83¢ current

+2¢
0¢25¢50¢75¢100¢
May 28, 2026May 28, 2026

Contract brief

If Dzmitry Asanau wins the Dzmitry Asanau vs Roger Gutierrez boxing match originally scheduled for Jun 4, 2026, then the market resolves to Yes.

Outcome

Dzmitry Asanau

Rank

#1 of 2

Leader

Dzmitry Asanau 84¢

Range

9¢-84¢

Family volume

$210

Identifier

KXBOXING-26JUN04ASANAUGUTIER-ASANAU

May 28, 2026, 10:08 PM UTC · 8m ago

Implied probability

83¢
Latest venue quote
May 28, 2026, 10:08 PM UTC · 8m ago

Bid

84¢

Ask

91¢

Spread

24h volume

$210

Family rank

#1 of 2

2 outcomes · Dzmitry Asanau vs Roger Gutierrez Winner

Closes

Jun 18, 2026

Family volume

$210

Orderbook snapshot

84 / 91¢

Kalshi
7¢ spread
BidSize
84¢1.0K
83¢3.0K
82¢2.0K
81¢496
80¢1.0K
AskSize
91¢30
92¢1.0K
93¢3.2K
94¢1.1K
95¢1.5K

Contract terms

What resolves this market.

YES condition

If Dzmitry Asanau wins the Dzmitry Asanau vs Roger Gutierrez boxing match originally scheduled for Jun 4, 2026, then the market resolves to Yes.

Venue

Kalshi

Closes

Jun 18, 2026

Identifier

KXBOXING-26JUN04ASANAUGUTIER-ASANAU

SF Signal
SF Index
9127.61
Regime
neutral

Event family

Dzmitry Asanau vs Roger Gutierrez Winner.

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

Total volume

$210

Outcomes

2

Highest price

Dzmitry Asanau 84¢

Current share

100%

Indicators

Yield, cliff risk, volatility, and regime.

IY (Yes)

331.2%

IY (No)

9127.6%

Adj IY

9128%

CRI

5

RV

27361%

VR

19.11

Regime

neutral

Score

0.5

Full indicator table

331.2%
9127.6%
Adj IY
9128%
5
RV
27361%
VR
19.11
IAR
0.9/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.