SimpleFunctions
kalshiOutcome slate12 markets

Will Valentin Royer win the Royer vs Djokovic

event base · KXATPMATCH

By SimpleFunctions· Last verified 24 May 2026Methodology
24h volume
$94.3K
Constituents
12
Distinct tenors
1
Top P(YES)
88.0%
Novak Djokovic

Outcome probabilities

12 contracts at one resolution date

Analysis

The yield curve presents a flat structure across all 76 constituent markets, with every contract sharing an identical 15-day tenor to resolution on May 26, 2025. This uniformity eliminates the traditional term-structure analysis, as there is no variation in time-to-maturity to reveal steepening, flattening, or inversion patterns. Within this single tenor bucket, YES probabilities range substantially from 1% (SINTAB-TAB) to 98% (SINTAB-SIN), indicating extreme dispersion in market expectations across different match outcomes rather than temporal dynamics. The cheapest YES probabilities cluster around 7-12%, appearing in markets like COLVUK-VUK (7%), DESAM-SAM (7%), FONPAV-PAV (7%), POPSVA-SVA (13%), and RUUSAF-SAF (11%), while the most expensive hover near 91-98% in COLVUK-COL (91%), DESAM-DE (91%), FONPAV-FON (92%), and SINTAB-SIN (98%). The flat curve structure indicates the market views the May 26 event resolution date as fixed and certain, with no temporal uncertainty about when outcomes will be determined. The wide probability dispersion reflects confidence in the event's occurrence but profound disagreement about specific match results. High-volume markets like LLATIR-TIR ($117.4M), GARTIE-TIE ($32.8M), and JACTRU-JAC ($55.9M) show balanced probabilities near 50-56%, suggesting genuine uncertainty in those matchups, while extreme probabilities in low-volume markets may reflect thin liquidity or niche participant conviction rather than broad consensus

Generated 5/24/2026 · anthropic/claude-haiku-4.5

Constituent markets

12 kalshi contracts

How to read this page

An outcome slate is a set of mutually-exclusive contracts that all settle on the same date. Their YES probabilities form a distribution over which outcome the market expects. Probabilities should roughly sum to 100% minus the venue’s overround.

Curve construction: each constituent contract is identified by its venue event_id (KXATPMATCH on kalshi). Tenor is computed from the contract’s close_time minus snapshot time, rounded to days. We do not interpolate between tenors — every plotted point is a real, traded contract. Outcome-slate pages show price-as-probability for mutually-exclusive contracts; term-structure pages show price-as-probability vs days-to-resolution for the same underlying event.

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.

Last updated on this page: Sun, 24 May 2026 06:24:54 GMT.