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BBL Stars vs Heat Draftstars DFS Preview and Projections for December 18, 2024

Draftstars Australia's BBL Stars vs Heat DFS contest begins at 7:15pm AEDT on December 18, 2024, and Fantasy Insider has crunched the numbers for every player in the game to help you create winning line-ups.

An accurate Draftstars cheat sheet is crucial for BBL fantasy players. This DFS preview is designed to help you build your fantasy teams for Draftstars' BBL contests and improve your season-long fantasy line-ups on December 18 and beyond.

Fantasy Insider, renowned for its world-class DFS tools and projections since 2015, employs the same machine learning models as Stats Insider to come up with some of the strongest DFS projections in the world.

With the best BBL fantasy insights and DFS strategies from Fantasy Insider, you're set to win in more BBL fantasy contests.

 

Cheat Sheet and Projections

We have reviewed players from each team in the Melbourne Stars vs Brisbane Heat match-up to help you find the best picks on Wednesday's slate.

Selection Player Salary Proj. Pts Pts/$1K
Stud Tom Curran (MLS, BOW/BAT) $19,500 54.4 2.8
Value Daniel Drew (BRH, BAT) $8,000 30.7 3.8
Fade Max Bryant (BRH, BAT) $14,700 34.7 2.4
Cheapie Tom Whitney (BRH, BOW) $8,000 29.4 3.7

According to Fantasy Insider's DFS model, our "stud" is the highest projected scorer across the slate, while "value" picks offer the most "bang for your buck," meaning they are expected to perform well relative to their salary.

Conversely, a "fade" is a player considered to offer lower value for money, based on their expected score relative to their salary. For budget-conscious strategies, "cheapie" options highlight the best value players at lower price points not already mentioned.

In fantasy sports, understanding value—assessing a player's potential output against their salary—is crucial, as players scoring high relative to their cost are key in crafting the optimal line-up.

The "Pts/$1K" metric shows the predicted points for every $1,000 of a player's salary. A higher number indicates better value, making it easier to spot players who could outperform their cost.

Positional Breakdown

BAT (Batsman)

Selection Player Salary Proj. Pts Pts/$1K
Stud Tom Curran (MLS) $19,500 54.4 2.8
Value Daniel Drew (BRH) $8,000 30.7 3.8
Fade Max Bryant (BRH) $14,700 34.7 2.4
Cheapie Campbell Kellaway (MLS) $8,800 24.1 2.7

BOW (Bowler)

Selection Player Salary Proj. Pts Pts/$1K
Stud Tom Curran (MLS) $19,500 54.4 2.8
Value Tom Whitney (BRH) $8,000 29.4 3.7
Fade Mitchell Swepson (BRH) $15,300 37.5 2.5

Conclusion

When building your BBL Stars vs Heat teams, consider starting with a value player like Daniel Drew. To secure one of the highest projected scorers, Tom Curran is a strong option. If you're seeking budget-friendly choices to free up salary cap for more studs, explore our cheapie options, including Tom Whitney.

On the other hand, according to our model, Max Bryant is one of the worst value options on the slate, suggesting you might want to limit exposure to him if putting together multiple line-ups.

Ready to go? Draftstars' BBL Stars vs Heat slate closes at 7:15pm AEDT on Wednesday. ENTER NOW!

As with all BBL DFS contests, whether you start with our studs or build around our value picks, leveraging Fantasy Insider's data-driven BBL fantasy news and strategies, combined with your own research, can enhance your chances of winning in the BBL Stars vs Heat slate. The unique insights here can help you balance star power, value and budget management when you make your BBL DFS line-ups.

For the latest projections and optimised BBL Stars vs Heat line-ups, check out the Fantasy Insider Cruncher on Draftstars! It's free to use when you're logged in.

 

Please note that if you use our DFS tips for betting purposes, ensure you gamble responsibly and keep track of your money. For free and confidential support, call 1800 858 858 or visit gamblinghelponline.org.au.

Fantasy Insider

Fantasy Insider has been providing world-class DFS tools and projections since 2015. Its advanced player projections are based on the same machine learning models that Stats Insider uses, making them some of the strongest DFS projections in the world.

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