Demo Only — Not a Live Trading Platform
Be the Mark not the Market
Prediction markets are emerging as the next evolution of sports betting because they replace house‑set odds with real market prices. Instead of taking lines shaped by a sportsbook's margin, traders buy and sell outcomes the way they trade stocks, creating probabilities driven by supply and demand.
Sports Betting vs Prediction Markets
| Feature | Sports Betting | Prediction Markets |
|---|---|---|
| Structure | User vs. Bookmaker (House) | Peer-to-Peer (User vs. User) |
| Regulation | Banned by Numerous states | CFTC Regulated |
| Bet Limits | Yes, winners get capped | No, limited to deposit |
| Pricing | Bookmaker sets odds (vig) | Market-driven pricing |
| Flexibility | Locked-in bets | Buy/sell anytime |
| Cost | 10-30% on winning bets | Small trading fees |
Game
Vol: 520k
Super Bowl LX Spread
Game Spread - Main Lines
Seattle -4.5
Prob: 48%
Bet $1 to win $0.91
New England +4.5
Prob: 52%
Bet $1 to win $0.91
Seattle -7.5
Prob: 35%
Bet $1 to win $1.40
New England +7.5
Prob: 65%
Bet $1 to win $0.50
Selected Outcome
Seattle -4.5
Bet $1 to win $0.91
Player
Vol: 450k
Anytime Touchdown Scorer
Anytime Touchdown Scorer
K. Walker (SEA)
Prob: 64%
Bet $1 to win $0.56
J. Smith-Njigba (SEA)
Prob: 51%
Bet $1 to win $0.96
R. Stevenson (NE)
Prob: 39%
Bet $1 to win $1.56
Selected Outcome
K. Walker (SEA)
Bet $1 to win $0.56
Player
Vol: 320k
Most Receiving Yards
Player with Most Receiving Yards in Game
J. Smith-Njigba (SEA)
Prob: 63%
Bet $1 to win $0.59
Stefon Diggs (NE)
Prob: 11%
Bet $1 to win $8.09
Hunter Henry (NE)
Prob: 6%
Bet $1 to win $15.67
Other
Prob: 20%
Bet $1 to win $4.00
Selected Outcome
J. Smith-Njigba (SEA)
Bet $1 to win $0.59
