SimpleFunctions
kalshiOutcome slate21 markets

Aurelien Tchouameni

event base · KXWCGOAL

By SimpleFunctions· Last verified 04 Jul 2026Methodology
24h volume
$287.5K
Constituents
21
Distinct tenors
1
Top P(YES)
45.0%
1+

Outcome probabilities

21 contracts at one resolution date

Analysis

The yield curve exhibits a flat structure across the two tenor buckets, with 16-day markets clustering around a weighted-average YES probability of approximately 15-18%, while the 17-day markets show a marginally lower average around 14-16%. The 16-day bucket contains the highest individual probabilities, with standout markets like NOREHAALA9-1 at 48%, BRAVINI7-1 at 46%, ENGHKANE9-1 at 41%, and MEXRJIMEN7-1 at 33%. The 17-day bucket, spanning Portugal-Spain, USA-Belgium matchups, shows more compressed probabilities, with leading markets like PORCRIS7-1 at 34% and ESPLYAMAL10-1 at 32%. The flatness of this curve, combined with the concentration of higher probabilities in the nearer 16-day tenor, suggests minimal term premium and indicates that the market does not expect significant probability shifts over this one-day horizon extension. The market's current pricing implies that the event outcome is largely determined within the immediate 16-day window, with little expectation of material resolution probability changes by day 17. The flat structure indicates confidence in near-term event resolution rather than uncertainty that would typically steepen the curve. The dominance of specific player-outcome markets in the 16-day bucket—particularly the Norwegian and English player markets commanding the highest volumes and probabilities—suggests the market is pricing a concentrated set of scenarios expected to resolve imminently. The lack of a pronounced upward or downward slope indicates the market views the event as temporally fixed rather than subject to meaningful timing uncertainty.

Generated 7/4/2026 · anthropic/claude-haiku-4.5

Constituent markets

21 kalshi contracts

Related event families

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 (KXWCGOAL 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: Sat, 04 Jul 2026 06:23:11 GMT.