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Syracuse Today
By the People, for the People
Use Kalshi Promo Code CBSSPORTS for $10 Bonus on College Basketball Trades
Bet on Duke-Syracuse, Houston-Iowa State, and more with a $10 cash bonus from Kalshi.
Published on Feb. 16, 2026
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Kalshi is offering a $10 cash bonus to new users who sign up with the promo code CBSSPORTS and make at least $10 in trades on their college basketball prediction markets. The featured matchups on Monday include No. 4 Duke vs. Syracuse and No. 3 Houston vs. No. 5 Iowa State.
Why it matters
This promotion provides an opportunity for sports fans to engage with prediction markets and potentially earn extra cash by correctly forecasting the outcomes of high-profile college basketball games. Kalshi's platform allows users to trade on a variety of outcomes, adding an extra layer of excitement to the viewing experience.
The details
To claim the $10 bonus, new Kalshi users must sign up using the promo code CBSSPORTS, make a minimum $1 deposit, and trade at least $10 in event contracts. The bonus will be credited regardless of the trade outcomes. Kalshi's prediction markets for Monday's games include: Over 143.5 points in Duke vs. Syracuse, Drexel to win or lose by 3.5 or less vs. Stony Brook, and Over 134.5 points in Iowa State vs. Houston.
- The Duke vs. Syracuse game tips off at 7 p.m. ET on Monday, February 16, 2026.
- The Iowa State vs. Houston game tips off at 9 p.m. ET on Monday, February 16, 2026.
The players
Kalshi
Kalshi is a regulated prediction market platform that allows users to trade on the outcomes of various events, including sports matchups.
Cameron Boozer
A star freshman forward for Duke, who has led the team in points, rebounds, and assists in six games this season, the most among all ACC players over the last 30 seasons.
What’s next
After making the first $10 in trades with the Kalshi promo code, new users will be given a $10 cash bonus.
The takeaway
This Kalshi promotion provides sports fans with an opportunity to engage with prediction markets and potentially earn extra cash by correctly forecasting the outcomes of high-profile college basketball games, adding an extra layer of excitement to the viewing experience.
