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BBL Thunder vs Heat Draftstars DFS Preview and Projections for December 22, 2025

Draftstars Australia's BBL Thunder vs Heat DFS contest commences at 7:15pm AEDT on December 22, 2025, and Fantasy Insider has looked at the data for each player in the game to help you build winning line-ups.

A handy Draftstars cheat sheet is essential for BBL fantasy players. This DFS preview is designed to help you put together your fantasy teams for Draftstars' BBL contests and enhance your season-long fantasy line-ups on Monday and beyond.

Fantasy Insider, renowned for its world-class DFS tools and projections since 2015, uses the same machine learning models as Stats Insider to deliver some of the most accurate DFS projections available.

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

 

Cheat Sheet and Projections

We've reviewed players from each team in the Sydney Thunder vs Brisbane Heat match-up to help you make the best choices on Monday's slate.

Selection Player Salary Proj. Pts Pts/$1K
Stud Jack Wildermuth (BRH, BAT/BOW) $18,900 58.1 3.1
Value Liam Haskett (BRH, BOW) $8,000 33.2 4.1
Fade Hugh Weibgen (BRH, BAT) $10,800 14.7 1.4
Cheapie Jimmy Peirson (BRH, BAT) $9,500 32.4 3.4

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 those needing to stay under the salary cap, "cheapie" options refer to 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 Jack Wildermuth (BRH) $18,900 58.1 3.1
Value Nathan McAndrew (SYT) $11,600 42.3 3.6
Fade Hugh Weibgen (BRH) $10,800 14.7 1.4
Cheapie Jimmy Peirson (BRH) $9,500 32.4 3.4

BOW (Bowler)

Selection Player Salary Proj. Pts Pts/$1K
Stud Jack Wildermuth (BRH) $18,900 58.1 3.1
Value Liam Haskett (BRH) $8,000 33.2 4.1
Fade Tanveer Sangha (SYT) $16,500 38.7 2.3

Conclusion

When building your BBL Thunder vs Heat teams, consider starting with a value player like Liam Haskett. To secure one of the highest projected scorers, Jack Wildermuth is a strong option. If you're seeking budget-friendly choices to free up salary cap for more studs, explore our cheapie options, including Jimmy Peirson.

On the other hand, according to our model, Hugh Weibgen is one of the lowest value options on the slate, suggesting you might want to limit exposure to him if building multiple line-ups.

Ready to go? Draftstars' BBL Thunder vs Heat slate closes at 7:15pm AEDT on Monday. 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 Thunder vs Heat contest. The unique insights here can give you an edge when you make your BBL DFS line-ups.

For the latest projections and optimised BBL Thunder 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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