$10 Free on Signup, No Deposit Required on Knicks vs Cavaliers NBA: Use Dabble Code BTSLINES

If you fancy using your NBA knowledge to make some DFS picks on game two of the Knicks vs Cavaliers Eastern Conference Finals, then Dabble is the place to be. That’s because if you join the famous DFS site today using our exclusive BTSLINES promo code, you will receive a $10 sign up bonus to use on the game.

This exclusive welcome deal is available to all new Dabble players in the following states: AK, CA, GA, IL, IN, KS, KY, MN, NC, ND, NE, NM, OK, OR, RI, SC, SD, TX, UT and WI.

Creating Your New Dabble Account

Opening your new Dabble account and picking up your $10 bonus takes just a couple of minutes. Here’s what you need to do:

1. Access the Dabble DFS website by clicking the banners on this page.
2. Use the links to download the Dabble app from the Apple App Store or Google Play Store.
3. Complete the short sign up form by entering a few personal details and setting up a username/password combination.
4. In the text box on the sign up page, enter our exclusive BTSLINES bonus code.

Once you have completed those four steps, your account will be open with the $10 sign up bonus applied to your balance. This $10 bonus can then be used on any upcoming DFS contest, including Friday’s huge Knicks vs Cavaliers NBA clash.

Knicks vs Cavaliers: How to Make Your DFS Picks at Dabble

The Knicks vs Cavaliers DFS contests at Dabble require you to select a squad of between two and 12 players, then predict whether each player’s actual statistical output in the game will be higher or lower than the projected stat attached to them. For example, if the DFS stat attached to James Harden is ‘21 points’, you would need to predict whether Harden’s actual points tally will be more or less than 21.

Your Dabble entries can either be All In or Hedge. An ‘All In’ entry sees you collect a large reward if all of your prop predictions are correct, whereas ‘Hedge’ entries reward you with a smaller payout even if between one and three of your predictions are incorrect.