SimpleFunctions

Will Flavio Cobolli win set 1 in the Flavio Cobolli vs Alexander Zverev match

Will Flavio Cobolli win set 1 in the Flavio Cobolli vs Alexander Zverev match is priced at 32¢ on Kalshi. Current book: 30¢ bid, 32¢ ask, 2¢ spread. This page tracks a standalone prediction-market contract.

Price history

32¢ current

+4¢
25¢30¢35¢
Jun 5, 2026Jun 6, 2026

Contract brief

If Flavio Cobolli wins set 1 in the Flavio Cobolli vs Alexander Zverev professional tennis match in the 2026 French Open Men Singles Final, then the market resolves to Yes.

Outcome

Will Flavio Cobolli win set 1 in the Flavio Cobolli vs Alexander Zverev match

Rank

Standalone

Leader

Range

Family volume

$891

Identifier

KXATPSETWINNER-26JUN07COBZVE-1-COB

Jun 7, 2026, 2:05 AM UTC · 0m ago

Implied probability

32¢
Latest venue quote
Jun 7, 2026, 2:05 AM UTC · 0m ago

Bid

30¢

Ask

32¢

Spread

24h volume

$887

Family rank

Standalone

Standalone contract

Closes

Jun 21, 2026

Family volume

$891

Orderbook snapshot

30 / 32¢

Kalshi
2¢ spread
BidSize
30¢1.4K
29¢1.3K
28¢1.8K
26¢70
24¢1.0K
AskSize
32¢1.7K
33¢145
34¢44K
35¢40K
36¢47K

Contract terms

What resolves this market.

YES condition

If Flavio Cobolli wins set 1 in the Flavio Cobolli vs Alexander Zverev professional tennis match in the 2026 French Open Men Singles Final, then the market resolves to Yes.

Venue

Kalshi

Closes

Jun 21, 2026

Identifier

KXATPSETWINNER-26JUN07COBZVE-1-COB

SF Signal
Regime
neutral

Event family

This market.

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

Total volume

$891

Outcomes

1

Highest price

Will Flavio Cobolli win set 1 in the Flavio Cobolli vs Alexander Zverev match 32¢

Current share

100%

Indicators

Yield, cliff risk, volatility, and regime.

Regime

neutral

Score

0.5

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.