Si Woo Kim leads at the end of Round 2: Si Woo Kim · KXPGAR2LEAD-TOC26
Si Woo Kim leads at the end of Round 2: Si Woo Kim is priced at 7¢ on Kalshi. Current book: 0¢ bid, 7¢ ask, 7¢ spread. This outcome ranks #1 of 16 inside KXPGAR2LEAD-TOC26.
Price history
7¢ current
Contract brief
If Si Woo Kim is the leader at the end of Round 2 in the 2026 TOUR Championship, then the market resolves to Yes.
Outcome
Si Woo Kim leads at the end of Round 2: Si Woo Kim
Rank
#1 of 16
Leader
Si Woo Kim leads at the end of Round 2: Si Woo Kim 7¢
Range
1¢-7¢
Family volume
$2K
Identifier
KXPGAR2LEAD-TOC26-WKIM
Aug 25, 2026, 8:38 AM UTC · 2m ago
Implied probability
Bid
0¢
Ask
7¢
Spread
7¢
24h volume
$40
Family rank
#1 of 16
16 outcomes · KXPGAR2LEAD-TOC26
Closes
Sep 13, 2026
Family volume
$2K
Orderbook snapshot
0 / 7¢
Contract terms
What resolves this market.
YES condition
If Si Woo Kim is the leader at the end of Round 2 in the 2026 TOUR Championship, then the market resolves to Yes.
Venue
Kalshi
Closes
Sep 13, 2026
Identifier
KXPGAR2LEAD-TOC26-WKIM
Event family
KXPGAR2LEAD-TOC26.
The same race as a probability stack: rank, volume, and where this contract sits against the other outcomes.
Total volume
$2K
Outcomes
16
Highest price
Si Woo Kim leads at the end of Round 2: Si Woo Kim 7¢
Current share
2%
Si Woo Kim leads at the end of Round 2: Si Woo Kim
kalshi · KXPGAR2LEAD-TOC26-WKIM
Rory McIlroy leads at the end of Round 2: Rory McIlroy
kalshi · KXPGAR2LEAD-TOC26-RMCI
Viktor Hovland leads at the end of Round 2: Viktor Hovland
kalshi · KXPGAR2LEAD-TOC26-VHOV
Justin Rose leads at the end of Round 2: Justin Rose
kalshi · KXPGAR2LEAD-TOC26-JROS
Tommy Fleetwood leads at the end of Round 2: Tommy Fleetwood
kalshi · KXPGAR2LEAD-TOC26-TFLE
Russell Henley leads at the end of Round 2: Russell Henley
kalshi · KXPGAR2LEAD-TOC26-RHEN
Gary Woodland leads at the end of Round 2: Gary Woodland
kalshi · KXPGAR2LEAD-TOC26-GWOO
Akshay Bhatia leads at the end of Round 2: Akshay Bhatia
kalshi · KXPGAR2LEAD-TOC26-ABHA
J.J. Spaun leads at the end of Round 2: J.J. Spaun
kalshi · KXPGAR2LEAD-TOC26-JSPA
Min Woo Lee leads at the end of Round 2: Min Woo Lee
kalshi · KXPGAR2LEAD-TOC26-MLEE
Xander Schauffele leads at the end of Round 2: Xander Schauffele
kalshi · KXPGAR2LEAD-TOC26-XSCH
Wyndham Clark leads at the end of Round 2: Wyndham Clark
kalshi · KXPGAR2LEAD-TOC26-WCLA
Chris Gotterup leads at the end of Round 2: Chris Gotterup
kalshi · KXPGAR2LEAD-TOC26-CGOT
Patrick Cantlay leads at the end of Round 2: Patrick Cantlay
kalshi · KXPGAR2LEAD-TOC26-PCAN
Tom Kim leads at the end of Round 2: Tom Kim
kalshi · KXPGAR2LEAD-TOC26-TKIM
Jacob Bridgeman leads at the end of Round 2: Jacob Bridgeman
kalshi · KXPGAR2LEAD-TOC26-JBRI
Browse this series
Indicators
Yield, cliff risk, volatility, and regime.
Regime
neutral
Score
0.5
Full indicator table
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.
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.
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.
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 7% 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.
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.