SimpleFunctions
kalshiOutcome slate38 markets

Masters Tournament

event base · KXPGATOUR

By SimpleFunctions· Last verified 27 Sep 2026Methodology
24h volume
$17.4K
Constituents
38
Distinct tenors
1
—
Top P(YES)
18.0%
Scottie Scheffler

Outcome probabilities

38 contracts at one resolution date

Analysis

The yield curve for KXPGATOUR exhibits a completely flat structure across all 43 constituent markets, with every contract sharing an identical 211-day tenor to resolution. Within this single tenor bucket, YES probabilities cluster tightly around 1–3%, with the notable exceptions of SSCH at 25.0%, RMCI at 8.0%, and JRAH at 5.0%. The median probability across the cohort sits near 1–2%, making these three outliers the primary drivers of dispersion. Volume concentration reinforces this pattern: the highest-volume contracts (JKOI at $1,287.80, SSCH at $1,819.79, and RMCI at $865.71) correspond to the elevated probability outliers, while the baseline $201.21 volume floor applies to the majority of lower-probability markets. The absence of a traditional yield curve shape—with varying tenors—means the market offers no intertemporal signal about event timing. The flat structure and compressed probability distribution suggest the market views the underlying event (likely a PGA Tour outcome or tournament result) as highly unlikely to occur across most scenarios, with only a handful of specific outcomes commanding meaningful conviction. The three elevated-probability contracts likely represent favored outcomes or more liquid betting interest, while the 1–2% baseline reflects either long-shot scenarios or thin liquidity in secondary markets. Because all contracts resolve simultaneously at 211 days, the market cannot signal whether it expects the event to happen sooner or later—only whether it expects it to happen at all. The current pricing implies the market assigns roughly 80–90% cumulative probability to a "no" outcome across the event family, with the remainder distributed across discrete YES scenarios of varying plausibility.

Generated 9/27/2026 · anthropic/claude-haiku-4.5

Constituent markets

38 kalshi contracts

MarketTenorP(YES)Vol 24h
Masters Tournament: Scottie Scheffler wins: Scottie Scheffler7mo18.0%$2.6K
Masters Tournament: Rory McIlroy wins: Rory McIlroy7mo9.0%$724
Masters Tournament: Jon Rahm wins: Jon Rahm7mo5.0%$1.2K
Masters Tournament: Tommy Fleetwood wins: Tommy Fleetwood7mo3.0%$0
Masters Tournament: Ludvig Aberg wins: Ludvig Aberg7mo3.0%$51
Masters Tournament: Cameron Young wins: Cameron Young7mo3.0%$286
Masters Tournament: Sam Burns wins: Sam Burns7mo2.0%$203
Masters Tournament: Matt Fitzpatrick wins: Matt Fitzpatrick7mo2.0%$499
Masters Tournament: Xander Schauffele wins: Xander Schauffele7mo2.0%$97
Masters Tournament: Collin Morikawa wins: Collin Morikawa7mo2.0%$10
Masters Tournament: Wyndham Clark wins: Wyndham Clark7mo2.0%$85
Masters Tournament: Bryson DeChambeau wins: Bryson DeChambeau7mo2.0%$959
Masters Tournament: Justin Thomas wins: Justin Thomas7mo2.0%$0
Masters Tournament: Jackson Koivun wins: Jackson Koivun7mo2.0%$81
Masters Tournament: Jake Knapp wins: Jake Knapp7mo2.0%$0
Masters Tournament: Akshay Bhatia wins: Akshay Bhatia7mo2.0%$437
Masters Tournament: Russell Henley wins: Russell Henley7mo1.0%$229
Masters Tournament: Patrick Cantlay wins: Patrick Cantlay7mo1.0%$0
Masters Tournament: Si Woo Kim wins: Si Woo Kim7mo1.0%$0
Masters Tournament: Chris Gotterup wins: Chris Gotterup7mo1.0%$1.9K
Masters Tournament: Viktor Hovland wins: Viktor Hovland7mo1.0%$523
Masters Tournament: Shane Lowry wins: Shane Lowry7mo1.0%$2.7K
Masters Tournament: Hideki Matsuyama wins: Hideki Matsuyama7mo1.0%$0
Masters Tournament: Maverick McNealy wins: Maverick McNealy7mo1.0%$546
Masters Tournament: Ryan Gerard wins: Ryan Gerard7mo1.0%$0
Masters Tournament: Joaquin Niemann wins: Joaquin Niemann7mo1.0%$0
Masters Tournament: Jacob Bridgeman wins: Jacob Bridgeman7mo1.0%$720
Masters Tournament: J.J. Spaun wins: J.J. Spaun7mo1.0%$0
Masters Tournament: Kurt Kitayama wins: Kurt Kitayama7mo1.0%$0
Masters Tournament: Tom Kim wins: Tom Kim7mo1.0%$47
Masters Tournament: Justin Rose wins: Justin Rose7mo1.0%$0
Masters Tournament: Robert MacIntyre wins: Robert MacIntyre7mo1.0%$0
Masters Tournament: Michael Brennan wins: Michael Brennan7mo1.0%$0
Masters Tournament: Patrick Reed wins: Patrick Reed7mo1.0%$468
Masters Tournament: Min Woo Lee wins: Min Woo Lee7mo1.0%$0
Masters Tournament: Alex Smalley wins: Alex Smalley7mo1.0%$0
Masters Tournament: Michael Thorbjornsen wins: Michael Thorbjornsen7mo1.0%$2.0K
Masters Tournament: Tiger Woods wins: Tiger Woods7mo1.0%$1.0K

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 (KXPGATOUR 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: Sun, 27 Sep 2026 06:24:53 GMT.