Live edges right now
Free to browse — Kalshi odds vs book consensus for every game today.
How SportsBookISH works
Every market, every book
Outrights, top-5/10/20, make cut, matchups, round leaders, props on golf. Game moneylines, spreads, totals, series, and championships across NBA, MLB, NHL, EPL, MLS — with up to 11 sportsbooks side-by-side.
Edge math, not vibes
De-vigged book consensus, DataGolf model probabilities, and Kalshi's live exchange price. Edge calculated from the buyer's perspective — pick your home book to compare against.
Alerts when it matters
Email + SMS the moment Kalshi crosses ±3% from consensus, or moves ≥3% in 15 min on any sport. Smart preset alerts on Elite — one-click toggles, no config.
Free for everyone
Calculators, definitions, and the public dataset — useful even if you never sign up.
Free calculators
No-vig, Kelly, parlay payout, odds converter. Pure-math utilities, no signup.
Open toolsGlossary + guides
20+ definitions (vig, no-vig, edge, CLV, Kelly) + long-form explainers on Kalshi math.
Browse glossaryPublic dataset
CC-BY-4.0 JSON snapshot of Kalshi vs book odds across 9 sports. Free for research.
See datasetKalshi odds explained
Common questions about Kalshi, sportsbooks, and edge math.
What are Kalshi odds?
Kalshi is a regulated US event-contract exchange (CFTC-licensed). Each market is a YES/NO question — e.g. 'Will the Lakers beat the Spurs?' — that trades like a stock. The current YES price (between 1¢ and 99¢) is the implied probability of the outcome. SportsBookISH converts that price into the same implied-probability format sportsbooks use, then compares it to the de-vigged consensus across DraftKings, FanDuel, BetMGM, Caesars, BetRivers and more.
How does Kalshi compare to DraftKings / FanDuel / BetMGM?
Kalshi is a peer-to-peer exchange (you trade against other users, no house edge), while sportsbooks set their own lines and bake in vigorish (the 'vig'). After de-vigging book odds, Kalshi prices often diverge — sometimes Kalshi is cheaper to buy a side (positive edge), sometimes the books are. SportsBookISH highlights these gaps in real time across every game.
What's a 'buy edge' on Kalshi?
Buy edge = book-consensus probability minus Kalshi probability. Positive means Kalshi is pricing the outcome cheaper than the books — a buying opportunity. Negative means Kalshi is overpriced relative to the books — a selling opportunity. Our default reference is the de-vigged median across all tracked books; Pro+ users can pick a specific home book or filter the median.
Which sports does SportsBookISH cover?
NBA, MLB, NHL, English Premier League (EPL), MLS, and PGA Tour golf. Kalshi data is ingested every 5 minutes; book lines (DraftKings, FanDuel, BetMGM, Caesars, BetRivers, BetOnline, Bovada, Fanatics, LowVig, MyBookie, BetUS) refresh every 30 minutes. Golf adds DataGolf's model probabilities for an extra reference.
Is this free?
Browsing live odds, the daily edge digest, and basic edge math are free without signup. A free account adds the Kalshi-fee-adjusted edge (net-of-fee — see exactly what you pocket after Kalshi's 1–2¢ per-share trading fee) and the watchlist for bookmarking teams/players. Setting custom alert rules requires Pro ($10/month). Smart preset alerts (one-click 'Big Movers', 'My Watchlist'), SMS delivery, and watchlist-filtered alerts are Elite ($100/year — cheaper than Pro on an annual basis).
How often do the odds update?
Kalshi quotes refresh every 5 minutes via the official Kalshi REST API. Sportsbook lines (H2H, spread, totals) refresh every 30 minutes via The Odds API. DataGolf model probabilities (golf only) refresh every 10 minutes. Elite users get real-time alerts when a Kalshi market moves ≥3% in 15 minutes.
What's the difference between books median and best book?
Books median = the middle of the de-vigged probability across all books we track for a given market. Best book = the book offering the longest American odds (lowest no-vig probability) on the YES side — meaning the cheapest place to bet YES. Comparing Kalshi to both gives you a soft target (median) and an aggressive target (best book) for finding edges.
Simple, honest pricing
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