SimpleFunctions
KalshiJul 8, 202666 days left

Will Mirra Andreeva win the French Open?

This contract is priced at 5¢ on Kalshi. Current book: 7¢ bid, 8¢ ask, 1¢ spread.

Implied probability

5¢
$27K volume
$21K liquidity
313% of event volume

Event outcomes

16

Family volume

$9K

Best sibling

Iga Swiatek 16¢

Ticker

KXFOWOMEN-26-AND

Price history

5¢ current

25¢50¢75¢100¢
Apr 15, 2026May 3, 2026

Orderbook snapshot

7 / 8¢

Kalshi
1¢ spread
BidSize
7¢11
6¢22
5¢1.6K
4¢500
2¢19
AskSize
8¢130
11¢156
12¢655
13¢65
14¢85

Contract terms

Resolution, venue, and identifiers.

Resolution rules

If Mirra Andreeva wins the 2026 Women's French Open professional tennis tournament, then the market resolves to Yes.

Venue

Kalshi

Closes

Jul 8, 2026

Identifier

KXFOWOMEN-26-AND

Cross-venue match

Similar contract on polymarket at , -3¢ versus this page.

View counterpart

Indicators

Yield, cliff risk, volatility, and regime.

IY (Yes)

7384.2%

IY (No)

41.8%

Adj IY

3165%

CRI

13

Overround

-0.2%

LAS

0.14

Regime

neutral

Score

0.341

Observability

low

Event type

sports

Full indicator table

7384.2%
41.8%
Adj IY
3165%
13
Overround
-0.2%
LAS
0.14

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