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← Tournaments
⛳The Open: Last-Chance Qualifier
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Outrights & Lines12Matchups0PropsLadder
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Players
12
Total markets
12
Kalshi quotes
12
Book quotes
0
DG model
0
Books tracked
0
TournamentWin12K12
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 · 12 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
#
Sam Stevens●K8.6%———————0
Andrew Wilson●K5.5%———————0
Charles Huntzinger●K5.1%———————0
Marcus Helligkilde●K8.3%———————0
John Gough●K6.7%———————0
Sam Easterbrook●K7.4%———————0
Matt Moloney●K7.3%———————0
Brandon Robinson-Thompson●K4.6%———————0
Adri Arnaus●K5.5%———————0
Joe Dean●K4.7%———————0
Nicolas Echavarria●K34.0%———————0
Angel Hidalgo●K9.6%———————0
Trade on Kalshi →Sponsored

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: Last-Chance Qualifier odds — FAQ

What Kalshi markets are available for the The Open: Last-Chance Qualifier?
Kalshi is currently pricing 12 markets across 12 players for the The Open: Last-Chance Qualifier, 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: Last-Chance Qualifier 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: Last-Chance Qualifier?
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).