SimpleFunctions
kalshiOutcome slate30 markets

Akshay Bhatia finishes top 20

event base · KXPGATOP20

By SimpleFunctions· Last verified 18 Aug 2026Methodology
24h volume
$26.1K
Constituents
30
Distinct tenors
1
Top P(YES)
92.0%
Scottie Scheffler

Outcome probabilities

30 contracts at one resolution date

Analysis

The yield curve for KXPGATOP20 is entirely flat, with all 50 constituent markets sharing an identical 33-day tenor. Within this single bucket, YES probabilities display substantial dispersion, ranging from a low of 17.0% (MMCC) to a high of 86.0% (SSCH), with a median probability around 40%. The cheapest YES probabilities cluster in the 17-26% range, represented by markets like MMCC (17.0%), SSTR (21.0%), STHE (22.0%), ABHA (25.0%), JPOS (25.0%), NECH (25.0%), ECOL (26.0%), and ARAI (26.0%). This wide spread reflects genuine heterogeneity in market expectations across the constituent events rather than a traditional term structure, since there is no variation in time-to-resolution to create a yield curve shape. The absence of a traditional curve shape—neither steepening, flattening, nor inverted—indicates that the market is not pricing differential timing expectations across a maturity spectrum. Instead, the market is pricing 50 distinct binary outcomes all resolving in 33 days, with the dispersion in probabilities reflecting differentiated conviction about which specific outcomes will occur. The high-volume markets trading at elevated probabilities (SSCH at 86%, TFLE at 63%, LABE at 65%, RMCI at 64%, XSCH at 64%) suggest concentrated bullish positioning on particular outcomes, while the clustering of low-probability markets in the 20-26% range indicates skepticism about a distinct subset of constituent events materializing within the specified timeframe.

Generated 8/18/2026 · anthropic/claude-haiku-4.5

Constituent markets

30 kalshi contracts

MarketTenorP(YES)Vol 24h
Scottie Scheffler finishes top 20: Scottie Scheffler5w92.0%$84
Rory McIlroy finishes top 20: Rory McIlroy5w81.0%$208
Xander Schauffele finishes top 20: Xander Schauffele5w81.0%$151
Collin Morikawa finishes top 20: Collin Morikawa5w78.0%$14.8K
Patrick Cantlay finishes top 20: Patrick Cantlay5w77.0%$180
Tommy Fleetwood finishes top 20: Tommy Fleetwood5w76.0%$102
Ludvig Aberg finishes top 20: Ludvig Aberg5w75.0%$131
Sam Burns finishes top 20: Sam Burns5w74.0%$226
Cameron Young finishes top 20: Cameron Young5w73.0%$21
Matt Fitzpatrick finishes top 20: Matt Fitzpatrick5w73.0%$130
Wyndham Clark finishes top 20: Wyndham Clark5w73.0%$40
Si Woo Kim finishes top 20: Si Woo Kim5w73.0%$98
Viktor Hovland finishes top 20: Viktor Hovland5w72.0%$64
Chris Gotterup finishes top 20: Chris Gotterup5w71.0%$2.0K
Hideki Matsuyama finishes top 20: Hideki Matsuyama5w71.0%$112
Russell Henley finishes top 20: Russell Henley5w68.0%$196
Adam Scott finishes top 20: Adam Scott5w64.0%$277
Ryan Gerard finishes top 20: Ryan Gerard5w64.0%$44
Tom Kim finishes top 20: Tom Kim5w63.0%$1.0K
Robert MacIntyre finishes top 20: Robert MacIntyre5w62.0%$72
Justin Rose finishes top 20: Justin Rose5w60.0%$264
J.J. Spaun finishes top 20: J.J. Spaun5w60.0%$226
Min Woo Lee finishes top 20: Min Woo Lee5w59.0%$54
Alex Smalley finishes top 20: Alex Smalley5w56.0%$1.8K
Jacob Bridgeman finishes top 20: Jacob Bridgeman5w56.0%$80
Gary Woodland finishes top 20: Gary Woodland5w54.0%$1.3K
Alex Fitzpatrick finishes top 20: Alex Fitzpatrick5w53.0%$53
Kristoffer Reitan finishes top 20: Kristoffer Reitan5w53.0%$65
Akshay Bhatia finishes top 20: Akshay Bhatia5w47.0%$2.0K
Ryan Fox finishes top 20: Ryan Fox5w43.0%$371

Browse this series

PGA Championship Top-N Finish 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

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 (KXPGATOP20 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: Tue, 18 Aug 2026 06:24:15 GMT.