SimpleFunctions

Elena Pridankina / Qianhui Tang to win the Dabrowski / Stefani vs Pridankina / Tang

Elena Pridankina / Qianhui Tang is priced at 41¢ midpoint on Kalshi. Current book: 14¢ bid, 67¢ ask, 53¢ spread. This outcome ranks #2 of 2 inside KXWTADOUBLES-26MAY29DABSTEPRITAN.

Price history

41¢ current

+36¢
0¢25¢
May 27, 2026May 28, 2026

Contract brief

If Elena Pridankina / Qianhui Tang wins the Dabrowski / Stefani vs Pridankina / Tang professional tennis match in the 2026 French Open Women Doubles Round Of 32 after a ball has been played, then the market resolves to Yes.

Outcome

Elena Pridankina / Qianhui Tang

Rank

#2 of 2

Leader

Gabriela Dabrowski / Luisa Stefani 76¢

Range

14¢-76¢

Family volume

$1

Identifier

KXWTADOUBLES-26MAY29DABSTEPRITAN-PRITAN

May 28, 2026, 8:38 PM UTC · 6m ago

Implied probability

41¢
Bid/ask midpoint
May 28, 2026, 8:38 PM UTC · 6m ago

Bid

14¢

Ask

67¢

Spread

53¢

Reported volume

$0

Family rank

#2 of 2

2 outcomes · KXWTADOUBLES-26MAY29DABSTEPRITAN

Closes

Jun 12, 2026

Family volume

$1

Orderbook snapshot

14 / 67¢

Kalshi
53¢ spread
BidSize
100¢500
14¢1.0K
4¢500
2¢1.2K
AskSize
67¢555
90¢80
95¢1.4K
96¢500
97¢1

Contract terms

What resolves this market.

YES condition

If Elena Pridankina / Qianhui Tang wins the Dabrowski / Stefani vs Pridankina / Tang professional tennis match in the 2026 French Open Women Doubles Round Of 32 after a ball has been played, then the market resolves to Yes.

Venue

Kalshi

Closes

Jun 12, 2026

Identifier

KXWTADOUBLES-26MAY29DABSTEPRITAN-PRITAN

SF Signal
SF Index
15447.07
Regime
neutral

Event family

KXWTADOUBLES-26MAY29DABSTEPRITAN.

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

Gabriela Dabrowski / Luisa Stefani 76¢

Current share

0%

Indicators

Yield, cliff risk, volatility, and regime.

IY (Yes)

15447.1%

IY (No)

409.4%

Adj IY

15447%

CRI

6

RV

2934%

VR

1.18

Regime

neutral

Score

0.5

Full indicator table

15447.1%
409.4%
Adj IY
15447%
6
RV
2934%
VR
1.18
IAR
1.5/h

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

Information Finance Has Arrived: A Material Map of Prediction Markets in Q2 2026

Combined Kalshi + Polymarket volume hit $66B in just four months of 2026 — already greater than the entire 2025 industry total. Bernstein projects $1T by 2030. Two venues hold 95% of US share. The distribution layer fragmented across nine retail surfaces. AI agents are 30% of Polymarket wallet activ

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.

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.