SimpleFunctions
kalshiOutcome slate28 markets

Akshay Bhatia leads at the end of Round 2

event base · KXPGAR2LEAD

By SimpleFunctions· Last verified 21 Aug 2026Methodology
24h volume
$23.1K
Constituents
28
Distinct tenors
1
Top P(YES)
12.0%
Scottie Scheffler

Outcome probabilities

28 contracts at one resolution date

Analysis

The yield curve for KXPGAR2LEAD exhibits a completely flat structure, with all 45 constituent markets sharing an identical 16-day tenor. Within this single bucket, YES probabilities display substantial dispersion, ranging from 1.0% to 18.0%, with the modal probability at 1.0% (representing approximately 28 markets). The highest-probability outcomes cluster around RMCI at 18.0%, CGOT at 14.0%, and WCLA at 12.0%, while the vast majority of markets price the event at the floor of 1.0%. The cheapest YES probability is effectively the entire 1.0% cohort, which dominates the curve. Volume concentration reveals that the highest-conviction markets—SSCH ($83.2k), WCLA ($25.9k), LABE ($24.9k), and RMCI ($21.8k)—trade at elevated probabilities relative to the median, suggesting informed positioning in specific outcomes. The flat tenor structure prevents traditional yield-curve interpretation, but the wide probability dispersion across identically-timed markets indicates the market views this as a highly uncertain, multi-outcome event with no clear consensus favorite. The dominance of 1.0% pricing across most markets suggests the baseline expectation is that the event will not occur within the 16-day window, while the elevated probabilities on select markets (RMCI, CGOT, WCLA) reflect concentrated belief in specific alternative outcomes. The volume-weighted positioning toward higher-probability markets hints that active traders are hedging or expressing conviction in particular scenarios, but the overall curve shape communicates genuine uncertainty about both the timing and likelihood of resolution within the near term.

Generated 8/21/2026 · anthropic/claude-haiku-4.5

Constituent markets

28 kalshi contracts

MarketTenorP(YES)Vol 24h
Scottie Scheffler leads at the end of Round 2: Scottie Scheffler3w12.0%$1.3K
Rory McIlroy leads at the end of Round 2: Rory McIlroy3w7.0%$1.8K
Viktor Hovland leads at the end of Round 2: Viktor Hovland3w5.0%$0
Xander Schauffele leads at the end of Round 2: Xander Schauffele3w4.0%$3.1K
Cameron Young leads at the end of Round 2: Cameron Young3w3.0%$75
Collin Morikawa leads at the end of Round 2: Collin Morikawa3w3.0%$164
Tommy Fleetwood leads at the end of Round 2: Tommy Fleetwood3w3.0%$15
Akshay Bhatia leads at the end of Round 2: Akshay Bhatia3w2.0%$0
Adam Scott leads at the end of Round 2: Adam Scott3w2.0%$100
Chris Gotterup leads at the end of Round 2: Chris Gotterup3w2.0%$1.4K
Gary Woodland leads at the end of Round 2: Gary Woodland3w2.0%$0
Hideki Matsuyama leads at the end of Round 2: Hideki Matsuyama3w2.0%$1.3K
Justin Rose leads at the end of Round 2: Justin Rose3w2.0%$200
Matt Fitzpatrick leads at the end of Round 2: Matt Fitzpatrick3w2.0%$100
Min Woo Lee leads at the end of Round 2: Min Woo Lee3w2.0%$0
Ryan Gerard leads at the end of Round 2: Ryan Gerard3w2.0%$200
Russell Henley leads at the end of Round 2: Russell Henley3w2.0%$5
Robert MacIntyre leads at the end of Round 2: Robert MacIntyre3w2.0%$6.6K
Tom Kim leads at the end of Round 2: Tom Kim3w2.0%$4
Alex Smalley leads at the end of Round 2: Alex Smalley3w1.0%$161
Jacob Bridgeman leads at the end of Round 2: Jacob Bridgeman3w1.0%$50
J.J. Spaun leads at the end of Round 2: J.J. Spaun3w1.0%$7
Kristoffer Reitan leads at the end of Round 2: Kristoffer Reitan3w1.0%$0
Ludvig Aberg leads at the end of Round 2: Ludvig Aberg3w1.0%$1.2K
Patrick Cantlay leads at the end of Round 2: Patrick Cantlay3w1.0%$208
Sam Burns leads at the end of Round 2: Sam Burns3w1.0%$4.9K
Wyndham Clark leads at the end of Round 2: Wyndham Clark3w1.0%$213
Si Woo Kim leads at the end of Round 2: Si Woo Kim3w1.0%$0

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 (KXPGAR2LEAD 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: Fri, 21 Aug 2026 06:23:25 GMT.