SimpleFunctions
kalshiOutcome slate30 markets

Akshay Bhatia leads at the end of Round 1

event base · KXPGAR1LEAD

By SimpleFunctions· Last verified 13 Aug 2026Methodology
24h volume
$419.3K
Constituents
30
Distinct tenors
1
Top P(YES)
9.0%
Scottie Scheffler

Outcome probabilities

30 contracts at one resolution date

Analysis

The yield curve for KXPGAR1LEAD exhibits a completely flat structure, with all 63 constituent markets clustered at a single 17-day tenor and displaying minimal probability variation. The vast majority of markets price YES at 1.0%, with a small subset trading at 2.0%, and only three outliers (JKOI, RMCI, and SBUR) at 3.0%, and one (SSCH) at 5.0%. This extreme concentration at the shortest tenor with negligible dispersion across the event family indicates there is no meaningful term structure to analyze. The cheapest YES probability sits at 1.0%, representing the modal price point for approximately 45 of the 63 markets, while the highest probability reaches only 5.0% at SSCH with substantial volume of $120 million. The flat, ultra-short curve structure communicates that the market views the event resolution as imminent and highly unlikely to occur within the 17-day window. Rather than pricing a gradual probability increase across multiple tenors, the market has compressed all uncertainty into this single near-term bucket, suggesting either a binary outcome expected very soon or a low base-rate event with minimal probability mass assigned to near-term occurrence. The high trading volumes concentrated in lower-probability markets (ECOL, JKOI, SSCH, TKIM all exceeding $100 million in 24-hour volume) indicate active disagreement or hedging activity around these specific outcomes, yet this engagement has not produced a discernible yield curve shape—only a flat line of skepticism.

Generated 8/13/2026 · anthropic/claude-haiku-4.5

Constituent markets

30 kalshi contracts

MarketTenorP(YES)Vol 24h
Scottie Scheffler leads at the end of Round 1: Scottie Scheffler3w9.0%$27.0K
Rory McIlroy leads at the end of Round 1: Rory McIlroy3w6.0%$16.1K
Cameron Young leads at the end of Round 1: Cameron Young3w5.0%$5.1K
Wyndham Clark leads at the end of Round 1: Wyndham Clark3w5.0%$29.0K
Xander Schauffele leads at the end of Round 1: Xander Schauffele3w5.0%$18.5K
Chris Gotterup leads at the end of Round 1: Chris Gotterup3w4.0%$18.3K
Collin Morikawa leads at the end of Round 1: Collin Morikawa3w4.0%$8.7K
Ludvig Aberg leads at the end of Round 1: Ludvig Aberg3w4.0%$5.2K
Matt Fitzpatrick leads at the end of Round 1: Matt Fitzpatrick3w4.0%$4.9K
Patrick Cantlay leads at the end of Round 1: Patrick Cantlay3w4.0%$5.7K
Sam Burns leads at the end of Round 1: Sam Burns3w4.0%$13.1K
Tommy Fleetwood leads at the end of Round 1: Tommy Fleetwood3w4.0%$11.3K
Viktor Hovland leads at the end of Round 1: Viktor Hovland3w4.0%$4.0K
Hideki Matsuyama leads at the end of Round 1: Hideki Matsuyama3w3.0%$11.0K
Russell Henley leads at the end of Round 1: Russell Henley3w3.0%$25.3K
Si Woo Kim leads at the end of Round 1: Si Woo Kim3w3.0%$8.5K
Adam Scott leads at the end of Round 1: Adam Scott3w2.0%$14.7K
Alex Smalley leads at the end of Round 1: Alex Smalley3w2.0%$15.0K
Gary Woodland leads at the end of Round 1: Gary Woodland3w2.0%$27.5K
Jacob Bridgeman leads at the end of Round 1: Jacob Bridgeman3w2.0%$13.8K
Justin Rose leads at the end of Round 1: Justin Rose3w2.0%$9.6K
J.J. Spaun leads at the end of Round 1: J.J. Spaun3w2.0%$14.0K
Kristoffer Reitan leads at the end of Round 1: Kristoffer Reitan3w2.0%$9.0K
Min Woo Lee leads at the end of Round 1: Min Woo Lee3w2.0%$14.1K
Ryan Gerard leads at the end of Round 1: Ryan Gerard3w2.0%$13.1K
Robert MacIntyre leads at the end of Round 1: Robert MacIntyre3w2.0%$12.1K
Tom Kim leads at the end of Round 1: Tom Kim3w2.0%$16.9K
Akshay Bhatia leads at the end of Round 1: Akshay Bhatia3w1.0%$18.7K
Alex Fitzpatrick leads at the end of Round 1: Alex Fitzpatrick3w1.0%$18.2K
Ryan Fox leads at the end of Round 1: Ryan Fox3w1.0%$11.1K

Browse this series

PGA Championship Round-Leader 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 (KXPGAR1LEAD 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: Thu, 13 Aug 2026 06:22:37 GMT.