Jacob Bridgeman finishes top 10: Jacob Bridgeman · KXPGATOP10-TOC26
Jacob Bridgeman finishes top 10: Jacob Bridgeman is priced at 23¢ on Kalshi. Current book: 23¢ bid, 24¢ ask, 1¢ spread. This outcome ranks #15 of 16 inside KXPGATOP10-TOC26.
Price history
23¢ current
Contract brief
If Jacob Bridgeman finishes in the top 10 (including ties) in the 2026 TOUR Championship, then the market resolves to Yes.
Outcome
Jacob Bridgeman finishes top 10: Jacob Bridgeman
Rank
#15 of 16
Leader
Scottie Scheffler finishes top 10: Scottie Scheffler 75¢
Range
23¢-75¢
Family volume
$85K
Identifier
KXPGATOP10-TOC26-JBRI
Aug 25, 2026, 9:08 PM UTC · 36m ago
Implied probability
Bid
23¢
Ask
24¢
Spread
1¢
24h volume
$2K
Family rank
#15 of 16
16 outcomes · KXPGATOP10-TOC26
Closes
Sep 27, 2026
Family volume
$85K
Orderbook snapshot
23 / 24¢
Contract terms
What resolves this market.
YES condition
If Jacob Bridgeman finishes in the top 10 (including ties) in the 2026 TOUR Championship, then the market resolves to Yes.
Venue
Kalshi
Closes
Sep 27, 2026
Identifier
KXPGATOP10-TOC26-JBRI
Event family
KXPGATOP10-TOC26.
The same race as a probability stack: rank, volume, and where this contract sits against the other outcomes.
Total volume
$85K
Outcomes
16
Highest price
Scottie Scheffler finishes top 10: Scottie Scheffler 75¢
Current share
3%
Scottie Scheffler finishes top 10: Scottie Scheffler
kalshi · KXPGATOP10-TOC26-SSCH
Rory McIlroy finishes top 10: Rory McIlroy
kalshi · KXPGATOP10-TOC26-RMCI
Xander Schauffele finishes top 10: Xander Schauffele
kalshi · KXPGATOP10-TOC26-XSCH
Patrick Cantlay finishes top 10: Patrick Cantlay
kalshi · KXPGATOP10-TOC26-PCAN
Collin Morikawa finishes top 10: Collin Morikawa
kalshi · KXPGATOP10-TOC26-CMOR
Ludvig Aberg finishes top 10: Ludvig Aberg
kalshi · KXPGATOP10-TOC26-LABE
Sam Burns finishes top 10: Sam Burns
kalshi · KXPGATOP10-TOC26-SBUR
Wyndham Clark finishes top 10: Wyndham Clark
kalshi · KXPGATOP10-TOC26-WCLA
Cameron Young finishes top 10: Cameron Young
kalshi · KXPGATOP10-TOC26-CAME
Matt Fitzpatrick finishes top 10: Matt Fitzpatrick
kalshi · KXPGATOP10-TOC26-MFIT
Chris Gotterup finishes top 10: Chris Gotterup
kalshi · KXPGATOP10-TOC26-CGOT
Russell Henley finishes top 10: Russell Henley
kalshi · KXPGATOP10-TOC26-RHEN
Ryan Gerard finishes top 10: Ryan Gerard
kalshi · KXPGATOP10-TOC26-RGER
Gary Woodland finishes top 10: Gary Woodland
kalshi · KXPGATOP10-TOC26-GWOO
Jacob Bridgeman finishes top 10: Jacob Bridgeman
kalshi · KXPGATOP10-TOC26-JBRI
Alex Smalley finishes top 10: Alex Smalley
kalshi · KXPGATOP10-TOC26-ASMA
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 23% 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.