Will Justin Thomas be ranked top 20 on the Official World Golf Ranking on Jun 1, 2026?
This contract is priced at 60¢ on Kalshi. Current book: 10¢ bid, 59¢ ask, 49¢ spread.
Implied probability
Event outcomes
16
Family volume
$75
Best sibling
Matt Fitzpatrick 71¢
Ticker
KXOWGRRANK-26JUNT20-JTHO
Market snapshot
Justin Thomas in market context.
This page tracks the Kalshi contract for Will Justin Thomas be ranked top 20 on the Official World Golf Ranking on Jun 1, 2026?. The displayed quote is 60¢ from the latest venue quote. The cached market record reports reported volume of $9. In the KXOWGRRANK-26JUNT20 family, this outcome ranks #16 of 16 by current quote across 16 sibling outcomes. The indicator bundle was refreshed May 9, 2026, 7:23 AM UTC.
Outcome
Justin Thomas
Family rank
#16 of 16
Venue
Kalshi
Current quote
60¢
Quote source
Latest venue quote
Timing
Listed until Jun 1, 2026
Reported volume
$9
Family context
16 outcomes · KXOWGRRANK-26JUNT20
Quote range
10¢-81¢
Family leader
Scottie Scheffler 81¢
Last updated
May 9, 2026, 7:23 AM UTC · 13m ago
Venue identifier: KXOWGRRANK-26JUNT20-JTHO. Family volume: $75.
Price history
60¢ current
−3¢Orderbook snapshot
10 / 59¢
Contract terms
Resolution, venue, and identifiers.
Resolution rules
If Justin Thomas is ranked in the top 20 (including ties) on the Official World Golf Ranking on June 1st, 2026 at 10:00am EST, then the market resolves to Yes.
Venue
Kalshi
Closes
Jun 1, 2026
Identifier
KXOWGRRANK-26JUNT20-JTHO
Event family
KXOWGRRANK-26JUNT20.
This view keeps the individual contract next to its sibling outcomes. For long-tail search traffic, this is the useful context: where the current price sits inside the event, how much volume exists around the family, and which outcomes have actual depth.
Total volume
$75
Outcomes
16
Highest price
Scottie Scheffler 81¢
Current share
0%
Justin Thomas
kalshi · KXOWGRRANK-26JUNT20-JTHO
Matt Fitzpatrick
kalshi · KXOWGRRANK-26JUNT20-MFIT
Justin Rose
kalshi · KXOWGRRANK-26JUNT20-JROS
J.J. Spaun
kalshi · KXOWGRRANK-26JUNT20-JSPA
Chris Gotterup
kalshi · KXOWGRRANK-26JUNT20-CGOT
Collin Morikawa
kalshi · KXOWGRRANK-26JUNT20-CMOR
Tommy Fleetwood
kalshi · KXOWGRRANK-26JUNT20-TFLE
Xander Schauffele
kalshi · KXOWGRRANK-26JUNT20-XSCH
Robert MacIntyre
kalshi · KXOWGRRANK-26JUNT20-RMAC
Sepp Straka
kalshi · KXOWGRRANK-26JUNT20-SSTR
Ludvig Aberg
kalshi · KXOWGRRANK-26JUNT20-LABE
Ben Griffin
kalshi · KXOWGRRANK-26JUNT20-BGRI
Scottie Scheffler
kalshi · KXOWGRRANK-26JUNT20-SSCH
Rory McIlroy
kalshi · KXOWGRRANK-26JUNT20-RMCI
Cameron Young
kalshi · KXOWGRRANK-26JUNT20-CYOU
Russell Henley
kalshi · KXOWGRRANK-26JUNT20-RHEN
Indicators
Yield, cliff risk, volatility, and regime.
Regime
neutral
Score
0.5
Full indicator table
Odds pages
Related prediction questions
Related readings
Matched from SimpleFunctions blog, opinions, technical guides, concepts, and learn pages.
Kalshi vs Polymarket: Which Prediction Market Should You Trade?
In-depth comparison of Kalshi and Polymarket for prediction market traders. Regulatory structure, liquidity, fees, API tooling, and cross-venue trading with SimpleFunctions.
Kalshi vs Polymarket: Mechanics, Fees, Regulation, Liquidity (2026)
Side-by-side comparison of Kalshi and Polymarket in 2026. Fee math, calibration data, withdrawal speed, and a decision tree for picking the right venue.
Prediction Market Orderbook Analysis: Reading Depth, Spread, and Liquidity
How to read prediction market orderbooks. Binary settlement, spread-as-percentage, depth asymmetry, executable edge calculation, and cross-venue arbitrage analysis.
Kalshi vs Polymarket: A Developer's Comparison of APIs, Orderbooks, and Liquidity
Data-driven comparison of Kalshi and Polymarket APIs, orderbooks, rate limits, and liquidity. Code examples for building on both prediction markets.
Liquidity Availability Is the Real Edge in Prediction Markets
Implied yield, cliff risk, and overround all describe what to trade. Liquidity Availability Score describes whether the orderbook can absorb the trade. Why LAS is the indicator that decides who actually books P&L.
Implied Yield vs Raw Probability: Why Bond-Adjacent Prediction Markets Need a Different Lens
Why fixed-income-adjacent prediction-market contracts need to be priced in implied yield, not raw probability, with two real Kalshi Fed-decision contracts as a case study.
SimpleFunctions context
Index, screen, query, and monitor.
Prediction Market Index
Market-wide volatility, geo risk, breadth, and activity around this contract.
Market Screener
Filter adjacent contracts by volume, expiry, IY, CRI, venue, and theme.
Event Probability API
Read 60% as a structured event probability object for agents and apps.
Realtime Data API
Prices, orderbooks, movement, heat, and liquidity indicators across venues.
World State API
Compact market-aware context packets for agent sessions and scheduled refresh.
Hedging Workflows
Map a thesis or exposure to candidate event markets and monitoring paths.