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3M Open Winner

Sports Β· Kalshi Β· Called YES, verified WIN Β· Jul 25, 2026
View the original Kalshi market →
Verified Outcome
WIN
PillarLab called Jackson Koivun to win (YES @ 31%).
Result: Jackson Koivun won. The call was correct.
Analyzed: Jul 25, 2026, 8:19 PM UTC
Market resolved: Jul 26, 2026, 10:09 PM UTC
Called 26h before resolution. The call was made before the outcome was known.

https://kalshi.com/markets/kxpgatour/pga-tour/kxpgatour-3mo26

PillarLab
πŸ“‘ Fetching Kalshi data...
PillarLab
βœ… Got data from Kalshi API!0.7s
PillarLab
πŸ” Step 1: Detecting market type and category...
PillarLab
βœ… Category: ⚽ SPORTS βœ… Type: MULTI_CANDIDATE πŸ“Š Market: 3M Open Winner πŸ“… Date: 2026-07-26T00:00:00.000Z πŸ’° Volume: $118,884,761 Current Odds: β€’ Jackson Koivun: 31% β€’ Michael Brennan: 14% β€’ Ben Kohles: 14% β€’ Scottie Scheffler: 12% β€’ Michael Kim: 8% β€’ Emiliano Grillo: 8% β€’ Denny McCarthy: 4% β€’ Billy Horschel: 3%2.1s
PillarLab
⏳ Step 2: Gathering intelligence (parallel)...
PillarLab
βœ… Intelligence gathered: Vegas Lines Β· Injury Report Β· Team Stats Β· Reddit Sentiment Β· Situational Factors Β· PillarScore Β· Handle Split (Public vs Sharp) Β· Candidate Dossiers (case for + case against, every candidate β‰₯2%)15.3s
PillarLab
🧠 Step 3: Deep Analysing across all 9 pillars β€” hang tight, ~20s...
PillarLab

πŸ“Š Market Summary

⚽ 3M Open Winner

Team/PlayerCurrent Odds
Jackson Koivun31%
Michael Brennan14%
Ben Kohles14%
Scottie Scheffler12%
Michael Kim8%
Emiliano Grillo8%
Denny McCarthy4%
Billy Horschel3%
Davis Thompson2%
Seamus Power2%
Hideki Matsuyama2%
Chandler Phillips2%
Gary Woodland1%
Brian Harman1%
Zac Blair1%
Lee Hodges1%
Ben Silverman0%
Brian Campbell0%
Adam Hadwin0%
Ryder Cowan0%
Tyler Duncan0%
Brandt Snedeker0%
Luke Clanton0%
Takumi Kanaya0%
Justin Lower0%
Cameron Davis0%
Benjamin James0%
Aaron Wise0%
Preston Stout0%
Mac Meissner0%
Doug Ghim0%
Rasmus Hojgaard0%
Charley Hoffman0%
Tony Finau0%
Harry Higgs0%
Tom Hoge0%
Karl Vilips0%
William Mouw0%
Nick Dunlap0%
Max Homa0%
Max McGreevy0%
Sungjae Im0%
Steven Fisk0%
Garrick Higgo0%
Ryan Brehm0%
Adrien Dumont De Chassart0%
Erik Van Rooyen0%
Jeevan Sihota0%
Pierceson Coody0%
Griffin Wood0%
Andrew Putnam0%
Nick Hardy0%
Kensei Hirata0%
Brice Garnett0%
Rafael Campos0%
Thomas Campbell0%
Cameron Champ0%
Joe Highsmith0%
Patton Kizzire0%
Matthieu Pavon0%
Hayden Springer0%
Thorbjorn Olesen0%
Keita Nakajima0%
Gordon Sargent0%
Ben Martin0%
Patrick Rodgers0%
Luke List0%
Paul Peterson0%
Stefano Mazzoli0%
Christo Lamprecht0%
Davis Riley0%
Chad Ramey0%
Jeremy Paul0%
David Skinns0%
Taylor Moore0%
Aldrich Potgieter0%
Adam Schenk0%
Peter Malnati0%
Sihan Sandhu0%
Taylor Pendrith0%
Matt Kuchar0%
Nicholas Lindheim0%
Brannon Fahrny0%
Cooper Schultz0%
Dylan Wu0%
Sudarshan Yellamaraju0%
Danny Walker0%
Alejandro Tosti0%
Stephan Jaeger0%
Ryan Fox0%
Seung-Yul Noh0%
Marcelo Rozo0%
Chris Kirk0%
Jordan L. Smith0%
Mark Hubbard0%
Kurt Kitayama0%
Austin Eckroat0%
Beau Hossler0%
Corey Conners0%
Hank Lebioda0%
Fabian Gomez0%
Zachary Bauchou0%
Sam Stevens0%
Zecheng Dou0%
Christiaan Bezuidenhout0%
Neal Shipley0%
Kevin Roy0%
Troy Merritt0%
Hao-Tong Li0%
Max Greyserman0%
Ricky Castillo0%
Camilo Villegas0%
Lucas Glover0%
Jimmy Stanger0%
Maverick McNealy0%
Rico Hoey0%
Kevin Yu0%
Vince Whaley0%
Jake Knapp0%
Casey Jarvis0%
John Parry0%
Kris Ventura0%
Rasmus Neergaard-Petersen0%
John VanDerLaan0%
Jeffrey Kang0%
Muzzy Donohue0%
Patrick Fishburn0%
A.J. Ewart0%
Matti Schmid0%
Davis Chatfield0%
Will Gordon0%
Lanto Griffin0%
Pontus Nyholm0%
Kevin Streelman0%
Keith Mitchell0%
Mackenzie Hughes0%
Trace Crowe0%
Jesper Svensson0%
Austin Smotherman0%
Joel Dahmen0%
Tom Kim0%
Chandler Blanchet0%
David Lipsky0%
Adam Svensson0%
Jason Day0%
Jackson Suber0%
Johnny Keefer0%

147 options total

PillarLab

🎯 Best Trade

  • Action: Jackson Koivun β€” YES @ 31%

  • Confidence: 🟑 MEDIUM Β· Uncertainty: HIGH

  • Why: Michael Brennan and Ben Kohles sit at 14% each partly due to the market's reliance on their live leaderboard positions rather than sustained season form. Brennan has made only 1 top-10 in 17 PGA TOUR starts this year, and Kohles' pre-event odds (+6500) signal surprise at his contention. Neither has the track record of a Scottie Scheffler, and both need to convert a 54-hole position into a win over a chasing field that includes world No. 1.

PillarLab

πŸ“‹ Why Each Contender Can Fall Short

You don't need to call the winner. In a 147-outcome field, most names simply don't win β€” so the useful read is why each top contender can fall short. Ranked by the market, with the fact-based case against each:

1. Jackson Koivun β€” 31%

  • Limited PGA TOUR sample as a rookie with only a T10 and T34 in two starts
  • Not leading the tournament during the final round; sits at T3 as of latest leaderboard
  • Pre-event sportsbook odds implied only 2.8% chance, reflecting longshot status

2. Michael Brennan β€” 14%

  • Only 1 top-10 in 17 PGA TOUR starts in 2026, with 11/17 cuts made
  • Not the outright leader on the live leaderboard; in contention but not ahead
  • Pre-event odds at +6500 imply low market confidence in a win

3. Ben Kohles β€” 14%

  • Pre-event odds at +6500 signal surprise at his leaderboard position
  • Lacks sustained season-long elite form beyond this hot tournament
  • Multiple strong contenders still ahead or equal on the live leaderboard
PillarLab

πŸ“ˆ Where the Market Stands

OptionMarketRead
Jackson Koivun31%🟒 FAVORED
Michael Brennan14%πŸ”΄ TRAILING
Ben Kohles14%πŸ”΄ TRAILING

I price with the market β€” 🟒 favored Β· πŸ”΄ trailing. The analysis below is the why.

PillarLab

πŸ”¬ 9-Pillar Analysis (Sharp Trading Method)

πŸ“Š 1. Vegas Line

My Vegas Line has Jackson Koivun at 31% market odds, while the wider betting market's implied probability is only 2.8%, a difference that reflects the thin liquidity of this prediction market compared to traditional sportsbooks.

πŸ“ˆ 2. PillarScore

With only 2-3 games per candidate, the recent form sample is too small for a confident read; Koivun's T10 and Brennan's current contention at the 3M Open are positive but inconclusive.

πŸ₯ 3. Injury Report

Clean bill of health for listed contenders; no injury issues surfaced in available PGA TOUR coverage.

πŸ“± 4. Reddit Sentiment

Reddit sentiment data is not publicly available for this niche market; no hype or crowd bias can be measured.

πŸ”’ 5. Team Stats & Form

No team stats apply; recent form: Koivun T10 at ISCO, Brennan in contention at 3M Open, Kohles T2 live at -11, but sample too thin for reliable trend.

🌀️ 6. Situational Factors

TPC Twin Cities hosts; Scottie Scheffler is the pre-tournament favorite but live leaderboard shows Michael Kim (-14), Ben Kohles (-11), and Koivun (-10) in contention; no travel or venue-specific disadvantage surfaced.

πŸ’° 7. Handle Split (Public vs Sharp)

Handle split data is not publicly available for this market; no sharp/public divergence can be identified.

⏰ 8. Time Decay

HIGH - The market is live during the final round; leaderboard updates are rapidly re-pricing contenders, making pre-event odds stale quickly.

⚑ 9. Contrarian Check

The market is heavily concentrated on longshots (Koivun 31%), but the betting market's favorite Scottie Scheffler (12% here) could be undervalued given his consistent major-contending form.

PillarLab

⚠️ Disclaimer: AI can make mistakes. This is not financial advice. Do your own research before placing any trades.

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PillarLab AI is an AI prediction-market analyzer that runs a 9-pillar analysis on Kalshi and Polymarket markets and publishes a public, settlement-verified track record of its decisive calls.

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9-Pillar Analysis ~30s

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Paste any market URL for a full 9-pillar analysis: Vegas lines, injury reports, weather forecasts, sentiment, edge vs market, and a Best Trade call.

How it works

Paste a Kalshi or Polymarket URL β†’ AI fetches real-time API market data β†’ 4–5 parallel intelligence sources β†’ a deep 9-pillar analysis β†’ an actionable prediction with an edge estimate. 5 market categories: Politics, Sports, Weather, Finance and General.

⚽ Sports (9 Pillars)

  1. 1.Vegas Lines β†’ spread, moneyline, totals
  2. 2.Line Movement β†’ sharp money signals
  3. 3.Injury Reports β†’ player status tracking
  4. 4.Reddit Sentiment β†’ r/sportsbook consensus
  5. 5.Team Statistics β†’ form, H2H, splits
  6. 6.Situational Factors β†’ rest, travel, schedule
  7. 7.Handle Splits β†’ public vs sharp money
  8. 8.Time Decay β†’ late line movement
  9. 9.Contrarian Check β†’ fade-the-public value

🌦️ Weather (9 Pillars)

  1. 1.Forecast Consensus β†’ GFS / ECMWF / NWS agreement
  2. 2.Ensemble Spread β†’ GEFS uncertainty range
  3. 3.Forecast Skill Decay β†’ accuracy vs time horizon
  4. 4.Historical Base Rate β†’ NOAA climate frequency
  5. 5.Model Divergence β†’ where models disagree vs market
  6. 6.Micro-Climate Bias β†’ station-specific effects
  7. 7.Storm Track β†’ NHC cone / hurricane tracking
  8. 8.Market Pricing β†’ implied probability vs forecast
  9. 9.Contrarian Check β†’ overshoot / mean-reversion

πŸ’° Finance (9 Pillars)

  1. 1.Technical Analysis β†’ RSI, MACD, support levels
  2. 2.Fundamental Metrics β†’ P/E, revenue, earnings
  3. 3.Smart Money β†’ institutional flows, insider trades
  4. 4.Reddit Sentiment β†’ WSB, r/stocks analysis
  5. 5.Macro Indicators β†’ Fed rates, inflation, GDP
  6. 6.News Catalysts β†’ earnings, product launches
  7. 7.Social Velocity β†’ Twitter momentum tracking
  8. 8.Market Signals β†’ volume, bid-ask analysis
  9. 9.Contrarian Check β†’ overcrowded trade detection

πŸ“° General (9 Pillars)

  1. 1.Base Rate β†’ historical frequency analysis
  2. 2.Official Benchmarks β†’ expert forecasts
  3. 3.Reddit Sentiment β†’ subreddit consensus
  4. 4.Social Velocity β†’ viral momentum tracking
  5. 5.News Recency β†’ 24–72h breaking news
  6. 6.Source Quality β†’ credibility scoring
  7. 7.Time Decay β†’ resolution timeline
  8. 8.Contrarian Check β†’ hidden edge detection

πŸ›οΈ Politics (9 Pillars)

  1. 1.Polls Analysis β†’ polling vs market odds divergence
  2. 2.Economic Impact β†’ GDP, unemployment affecting votes
  3. 3.Approval Ratings β†’ candidate favorability tracking
  4. 4.Cross-Platform Markets β†’ Polymarket vs Kalshi arbitrage
  5. 5.Breaking News β†’ events shifting political odds
  6. 6.Regional Patterns β†’ swing state analysis
  7. 7.Social Sentiment β†’ Reddit, X political trends
  8. 8.Data Uncertainty β†’ confidence intervals
  9. 9.Contrarian Risk β†’ devil's advocate view