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The Open Championship
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Players
160
Total markets
960
Kalshi quotes
960
Book quotes
0
DG model
0
Books tracked
0
No actionable mispricings on the Win market right now — Kalshi and books are within 0.2% across the field (filtered to markets with 3+ books).
Win · 160 players · Edge vs Books medianFree tier — showing 5 of 0 books. Upgrade for allClick any column header to sort.
Player
Kalshi
DG
Poly
Books med
Buy edge
vs DG
vs Poly
vs best book
#
Louis Oosthuizen●K0.1%0
James Nicholas●K0.5%0
Shaun Norris●K0.1%0
Xander Schauffele●K3.0%0
Sam Stevens●K0.1%0
Lucas Herbert●K0.1%0
Nicolai Hojgaard●K0.6%0
David Howard●K0.1%0
Viktor Hovland●K2.5%0
David Puig●K0.2%0
Andy Sullivan●K0.1%0
Nevill Ruiter●K0.1%0
J.J. Spaun●K0.7%0
Wyndham Clark●K3.3%0
Justin Leonard●K0.1%0
Dan Bradbury●K0.2%0
Chris Gotterup●K2.4%0
Alejandro De Castro Piera●K0.1%0
Rory McIlroy●K9.5%0
Akshay Bhatia●K0.9%0
Brooks Koepka●K1.6%0
Jake Knapp●K0.3%0
Darren Clarke●K0.1%0
MJ Daffue●K0.1%0
Mateo Pulcini●K0.1%0
Matthew Baldwin●K0.1%0
Max Greyserman●K0.3%0
Daniel Hillier●K0.2%0
Kazuma Kobori●K0.1%0
Mason Howell●K0.1%0
Casey Jarvis●K0.1%0
Martin Couvra●K0.1%0
Adam Scott●K0.3%0
Sepp Straka●K0.3%0
John Daly●K0.1%0
Cameron Smith●K0.7%0
Austen Truslow●K0.1%0
Travis Smyth●K0.1%0
Gary Woodland●K0.3%0
Kristoffer Reitan●K0.5%0
Kurt Kitayama●K0.5%0
Tiger Christensen●K0.1%0
Scott Vincent●K0.1%0
Eugenio Lopez-Chacarra●K0.4%0
J.T. Poston●K0.3%0
Jordan L. Smith●K0.3%0
Thomas Sloman●K0.1%0
Ren Yonezawa●K0.1%0
Jason Day●K0.2%0
Fifa Laopakdee●K0.1%0
Hennie Du Plessis●K0.1%0
Matt Fitzpatrick●K4.4%0
Alex Fitzpatrick●K1.1%0
Patrick Cantlay●K1.4%0
Sam Bairstow●K0.1%0
Harry Hall●K0.2%0
Ben Griffin●K0.9%0
Cameron John●K0.1%0
Sam Burns●K2.1%0
Stuart Grehan●K0.1%0
Justin Rose●K2.4%0
Kazuki Higa●K0.1%0
Adrien Saddier●K0.1%0
Jesper Svensson●K0.1%0
Hao-Tong Li●K0.4%0
Billy Horschel●K0.1%0
Jon Rahm●K3.3%0
Alex Noren●K0.3%0
Tim Wiedemeyer●K0.1%0
Min Woo Lee●K0.7%0
Justin Thomas●K1.3%0
Tommy Fleetwood●K4.7%0
Ernie Els●K0.1%0
Andrew Novak●K0.4%0
Patrick Reed●K1.3%0
Rasmus Neergaard-Petersen●K0.1%0
Francesco Molinari●K0.1%0
Sami Valimaki●K0.1%0
Scottie Scheffler●K13.0%0
Baard Bjoernevik Skogen●K0.1%0
Tom Kim●K1.5%0
Shane Lowry●K1.4%0
Frederic LaCroix●K0.1%0
Bryson DeChambeau●K1.5%0
Lev Grinberg●K0.1%0
Bud Cauley●K0.6%0
Marco Penge●K0.3%0
Thomas Detry●K0.1%0
Sahith Theegala●K0.1%0
Caleb Surratt●K0.1%0
Jiho Yang●K0.1%0
Jack Buchanan●K0.1%0
Ryo Hisatsune●K0.1%0
Keita Nakajima●K0.1%0
Henrik Stenson●K0.1%0
Max Homa●K0.7%0
Jayden Trey Schaper●K0.2%0
Brian Harman●K0.6%0
Michael Kim●K0.1%0
Michael Brennan●K0.3%0
Bernd Wiesberger●K0.1%0
Russell Henley●K1.6%0
Ryan Gerard●K0.4%0
Matthew McCarty●K0.1%0
Hideki Matsuyama●K0.9%0
Jackson Koivun●K0.3%0
Tom McKibbin●K0.1%0
Marcus Plunkett●K0.1%0
Harris English●K0.7%0
Rickie Fowler●K0.5%0
Pierceson Coody0
Jack McDonald●K0.1%0
Alistair Docherty●K0.1%0
Jeongwoo Ham●K0.1%0
Collin Morikawa●K3.3%0
Padraig Harrington●K0.1%0
Corey Conners●K0.1%0
Antoine Rozner●K0.1%0
Tyrrell Hatton●K2.0%0
Michael Hollick●K0.1%0
Alex Smalley●K0.3%0
David Duval●K0.1%0
Zach Johnson●K0.1%0
Ryan Fox●K0.3%0
Eric Cole●K0.2%0
Jacob Bridgeman●K0.3%0
Cameron Young●K2.8%0
Peter Uihlein●K0.1%0
Matthew Southgate●K0.1%0
Phil Mickelson●K0.1%0
Keith Mitchell●K0.1%0
Ryutaro Nagano●K0.1%0
Nicolas Echavarria●K0.1%0
Rasmus Hojgaard●K0.4%0
Maverick McNealy●K0.5%0
Aaron Rai●K1.1%0
Si Woo Kim●K1.1%0
Sungjae Im●K0.1%0
Daniel Brown●K0.1%0
Keegan Bradley●K0.3%0
Ludvig Aberg●K3.1%0
Tiger Woods●K0.1%0
Daniel Berger●K0.1%0
Nick Taylor●K0.1%0
Stewart Cink●K0.1%0
Naoyuki Kataoka●K0.1%0
Francesco Laporta●K0.1%0
Angel Ayora Fanegas●K0.2%0
Jordan Spieth●K1.3%0
Matt Wallace●K0.1%0
Laurie Canter●K0.1%0
Jackson Suber●K0.3%0
Joaquin Niemann●K1.6%0
Joakim Lagergren●K0.1%0
Robert MacIntyre●K1.8%0
Kota Kaneko●K0.1%0
John Parry●K0.1%0
Elvis Smylie●K0.1%0
Josele Ballester●K0.1%0
Matthew Jordan●K0.1%0

Kalshi = implied prob from bid/ask mid (or last trade if spread wide). DG = DataGolf model baseline. Books = de-vigged implied prob per book.

Buy edge = reference − Kalshi. Positive (green) = Kalshi cheaper than reference → good buy. Negative (red) = Kalshi overpriced → sell or bet at the books. “Edge vs best” compares Kalshi to the book offering the longest American odds.

The Open Championship odds — FAQ

What Kalshi markets are available for the The Open Championship?
Kalshi is currently pricing 960 markets across 160 players for the The Open Championship, including outright winner, top 5, top 10, top 20, make cut, first-round leader, and head-to-head matchups. SportsBookISH compares each Kalshi price against 0 sportsbooks plus the DataGolf model baseline.
How often do The Open Championship odds update on SportsBookISH?
Kalshi quotes refresh every 5 minutes. DataGolf model + sportsbook lines refresh every 10 minutes. References older than 30 minutes are filtered out automatically. Elite subscribers can force-refresh any tournament on demand.
What does "edge vs books median" mean for The Open Championship?
It's the difference between the sportsbook consensus implied probability (median of de-vigged book prices) and Kalshi's implied probability. Positive edge = Kalshi is priced cheaper than the books expect, suggesting a good BUY on Kalshi. Negative edge = Kalshi is more expensive, suggesting a SELL on Kalshi or a BET at the books.
How does Kalshi compare to sportsbooks for golf?
Kalshi is a CFTC-regulated event-contract exchange — you buy YES/NO contracts that settle at $1 or $0. Sportsbooks build a vig into outrights typically 15-25% on golf futures, vs Kalshi's max 7¢ trading fee. When Kalshi is priced cheaper than the no-vig book consensus, that's a +EV opportunity (after fee adjustment).