SimpleFunctions
kalshiYield curve18 markets

Alaves vs Getafe Winner

event base · KXLALIGAGAME

By SimpleFunctions· Last verified 16 May 2026Methodology
24h volume
$374
Constituents
18
Distinct tenors
3
2w – 2w
Avg P(YES)
31.2%

Term structure

YES probability across 3 tenors

25%50%2w2w2w2w2w
τ days →P(YES) on left axis

Analysis

The yield curve displays a pronounced steepening pattern, with the 15-day tenor markets (tau=15d) showing substantially higher YES probabilities across nearly all matchups compared to the 22-day tenor markets (tau=22d). At the 15-day bucket, YES probabilities cluster in the 23-49% range, with median probabilities around 32-44% depending on the specific matchup. The 22-day tenor markets, by contrast, show dramatically compressed probabilities, with most YES outcomes priced between 4-21%, representing a sharp downward shift. The cheapest YES probabilities appear in the 22-day bucket, where several outcomes trade at just 4-8% (OVI, ALA, GET, RVC, MAL in the later-dated markets), compared to the 15-day floor of approximately 11-26%. This steep downward slope indicates a significant term structure inversion relative to typical event probability curves. The market is currently pricing in a strong expectation that resolution events will occur within the 15-day window, with substantially diminished conviction about outcomes materializing in the 22-day period. The dramatic probability compression moving from 15 to 22 days suggests either that most relevant games are scheduled to conclude by May 26, or that the market assigns very low probability to additional qualifying events occurring in the subsequent week. The steepness of this curve implies high confidence in near-term resolution rather than uncertainty distributed across time. The consistent pattern across all 57 constituent markets—where later-dated tenors are uniformly cheaper—reinforces that traders view the event family as front-loaded temporally, with minimal tail risk extending into late May.

Generated 5/16/2026 · anthropic/claude-haiku-4.5

Constituent markets

18 kalshi contracts

Browse this series

La Liga Match Winner Markets
Collection view — every live contract in this series, sorted by 24h volume. Distinct intent from this term-structure page.

How to read this page

A term structure plots the implied YES probability of each constituent market against its days-to-resolution. Steepening upward = the market prices the event as becoming more likely with time. Flat = stable expectations. Inverted = a near-term catalyst raises odds early then they fade.

Curve construction: each constituent contract is identified by its venue event_id (KXLALIGAGAME 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, 16 May 2026 06:24:40 GMT.