SKU: 42871124359

2016 RZR XP TURBO 64" WIDE S3 RECOIL CLUTCH KIT by Aftermarket Assassins

Sale price$180.00 Regular price$200.00
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Description

2016 RZR XP TURBO 64" WIDE S3 RECOIL CLUTCH KIT by Aftermarket AssassinsFree shipping in the lower 48 states Part Number: 103 1001 Our S3 recoil clutch kits pack a huge punch! No matter the terrain, they hit hard and just keep pulling for days. On the trail or at the race you'll notice wicked acceleration and instant clutch response when getting back into the throttle after hammering that corner. In the dunes you'll see the same benefits, but also have much less bogging when climbing that big dune. The machine will hold

Free shipping in the lower 48 states

Part Number: 103-1001

  • Our S3 recoil clutch kits pack a huge punch!  No matter the terrain, they hit hard and just keep pulling for days.  On the trail or at the race you'll notice wicked acceleration and instant clutch response when getting back into the throttle after hammering that corner.  In the dunes you'll see the same benefits, but also have much less bogging when climbing that big dune.  The machine will hold RPM so you can get where you need to go, and get there faster!  Going mudding?  Our mud setup will help turn those tires through the thick and deep with much better RPM and wheel speed that's key to climbing out of that hole. We have a huge amount of CVT knowledge, a great passion for the sport, and spent many hours testing different setups in the real world.  We know you'll be extremely pleased with the performance gain from our clutch kits!  
  • Fits 2016 RZR XP Turbo Models 2 & 4 Seat.
  • S3 kits include our custom cut helix which will greatly increase belt life and ramp up RPM to get you into the power quicker.  2016 helixes were far too steep and belt life suffered, especially in slower speed situations.  Our helix helps balance the clutching much better.
  • ***2016 models will need to upgrade to the 2017+ helix buttons*** We have these HERE
  • Kits work great with both stock or modified machines
  • A must have when tuning your XPT
  • A must have when running larger tires or paddles
  • Huge acceleration gains
  • Wicked throttle response when on & off the throttle
  • More efficient power transferred to the wheels
  • More consistent clutch performance
  • Cooler running belt temps (especially when running larger tires or paddles!)
  • Longer belt and clutch life
  • Easily adjustable if needed
  •  Performance Helix:  The 1031 performance angle is what we use on all 2016 models running 28-33" tires or paddles. This helix works extremely well with 2 or 4 seat models due to the lower gearing on 2016 models, and lower gearing yet on the 4 seat models.  
  •  High Load Helix: We suggest this helix for those running 34-34" tires.   This helix angle is WAY less aggressive than the stock helix.  This slows the shift and acts like it's gearing the machine down through the secondary clutch.  
  • Close to stock engagement which is very smooth.  If you need a higher engaging spring for drag racing please let us know. 
  • Our Recoil clutch weights are easily adjustable with simple magnets.  They have a custom AA profile, the BEST coating on the market(nitrocarburizing) which has increased wear resistance, improved fatigue strength, and added surface lubricity. These clutch weights also offer great performance, and the ability to tune for many different applications or modification in the future, without the need to buy extra parts.  The magnetic weights are the best option to properly place the mass where we need it on the weight for best performance for your application.
  • An initial setup guideline is included which shows the best setups for dunes, mud, or all around trail riding. This also has brief instructions on installing your clutch kit, and other important information.  View our installation instruction video HERE 
  • Kits include: AA Recoil magnetic adjustable clutch weights, primary spring, secondary spring, AA custom helix & setup guidelines/instructions.
  • The only tool needed is our Compression Tool #1.  The primary components can be done with the clutch on the machine.  If you'd like to pull the primary to check the bolts behind it, or just to make installation easier, use this CLUTCH PULLER.  Warning: many of the XPT primary clutches are on the crank very tight(tapered fit).  If removing the primary, make sure you use plenty of grease on the puller tip and threads.  A hammer might be needed to pop the clutch off.
  • We'd HIGHLY recommend using our Snap Ring Delete Kit when installing this kit on 2016-2018 models.  Makes life much easier!
  • We also recommend our AA Primary Spring Limiter which helps reduce heat and centers the spring and our Primary Clutch Fan Blade for reduced temps.
  • Don't for get a new belt and we have the Worlds Best Belt by Gboost (our Stryker)

    COVID-19 is causing Aftermarket Assassins order delays on our end as well as shipping carriers: Allow an extra 1-5 days for delivery

    jds 1/23/23

    Shipping Notes
    • Free Standard Shipping on $100+ Orders to the USA.
    • Except Preorder products are shipped in 48 hours.
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    Exchange/Return Notes
    • We offer a 30-day return/exchange service after receiving.
    • Final sale items are not eligible for returns or exchanges.
    • To process your return/exchange, please contact us at [email protected]
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    SKU: 42871124359

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    Shannon
    Grantham, US
    ★★★★★ 5
    The best DL/ML book I have ever seen!!
    Format: Hardcover
    Fantastic deep-learning book! The logic is very easy to follow, but the content is very thorough when it comes to explaining the theories behind it, making it perfect for beginners as well as math and CS students. The best DL/ML book I have ever seen!!
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    Reviewed in the United States on November 30, 2025
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    William P Ross
    Chelsea, US
    ★★★★★ 5
    Comprehensive Look At An Incredibly Complex Topic
    Format: Hardcover
    Deep Learning is an advanced book with great explanations and details. There is a heavy math focus with the book's beginning chapters detailing the necessary linear algebra and probability that one will need to understand deep learning. I liked that the author's chose to cover only the parts of these subjects which are relevant to deep learning. There are many interesting philosophical sections in the book as well. Just about when I was feeling overwhelmed with the complexity of the mathematics the authors take a step back and cover the foundations of deep learning such as borrowing concepts from human learning. There was an interesting dicussion about the early studies done on the vision of cat's and monkey's in the 1970s. The text covers the entire history of deep learning and the bibliography is hundreds of sources. It is clear this is the most comprehensive text available about deep learning. For anybody interested in this topic this book is a mandatory read. There are sections about machine learning as well, which makes sense because deep learning is a subset of machine learning. These sections focused on the machine learning concepts which are most relevant to deep learning. The book was well organized and divided into three parts which cover mathematics related to deep learning, typical deep learning techniques, and then more experiment learning techniques. Often the author's state when a technique works well or when it does not, and which types of data works best for the technique. Just a warning, the math in this book is highly complex. It requires a lot of work to go through this book, but the effort will be well rewarded.
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    Reviewed in the United States on March 15, 2017
    A
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    Adam
    Birmingham, US
    ★★★★★ 4
    Too Dry.
    Format: Hardcover
    This was a required textbook for my class in college. I think it was too dry. The book titled Deep Learning: From Curiosity To Mastery is much more approachable.
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    Reviewed in the United States on May 22, 2026
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    Amazon Customer
    New York, US
    ★★★★★ 5
    Comprehensive! The Bible of Deep Learning!
    This book has by far surpassed my expectations! I have purchased many machine learning and deep neural network books in the past, but nothing has ever come close to this book! First of all, it is written by the fathers of Deep Learning, and is therefore an authority. Secondly, the book is broken into three parts: 1. A math overview and refresher. 2. Deep Learning applications and 3. Research in Deep Learning. I can't help but go through this book from front to back. It is a smooth read, and every sentence written is meaningful. These guys know their stuff! And after you read this book, YOU WILL ALSO know your stuff! If you feel daunted by the price, just remember, you get what you pay for! I'd say they could easily charge about $300+ for this book, but they are doing everyone a very kind favor by ONLY charging this reasonable amount. You get A LOT of bang for your buck with this purchase. I hesitated at first about buying this book because of the price, but I am soooooo happy that I did! Worth every penny! Look no further, get this book and start your Deep Learning journey!!
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    Reviewed in the United States on July 14, 2017
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    mackster
    Massapequa, US
    ★★★★★ 1
    A rushed, poorly written guide of how the "experts" can't really explain what Deep Learning is
    Format: Hardcover
    This book, in every sense of the word, is rushed. I think the authors wanted to establish themselves as leaders of this young-ish field, but does so by sacrificing quality. It also shows that Deep Learning theory has been there for a long time, known by another name called Neural Networks. The interesting algorithms are of MLP, Back Propagation and the classical neural networks. The optimization methods such as Adam are the ones that are new and interesting, and the only ones worthy of in this book. So, essentially, what you get from this book is use A for X, B for Y and C for Z type of dry, un-intuitive, badly written waste of paper. As for the structure of the book, it's like an example of how not to structure a book. It has some linear algebra, probability at the start (not good enough, and confuses more people and wastes paper). Goes on to prove other algorithms such as PCA (yeah, ok!). Then, talks about how this architecture works for this and that architecture. So, yeah, if you really want to try out deep learning, don't buy this book. Set up Tensorflow/pytorch/ other library, run the tutorials, find an architecture for the problem you are interested in and start tweaking that. You will have far more fun and would have saved your money. The praise that this book gets is beyond me. Did Musk even read this book? I doubt it.
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    Reviewed in the United States on May 15, 2018

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