
It’s no secret that power is everything when it comes to cycling. If you can’t measure how much power you are putting out, there is no way to tell if you are hitting your goals and reaching the level you want to reach.
If you are really wanting to be competitive in cycling, it’s important to seriously consider your cycling power training. CompuTrainer provides the most interesting indoor bike experience yet created. It increases your cycling power by 20 to 30% and your speed by 2 to 4 MPH. Whatever your starting point, you’ll improve significantly.
RacerMate's CompuTrainer will bring indoor training a completely different experience. CompuTrainer can provide virtual reality-like riding experience. You do not look bored already seen hundreds of times on DVD, or a fragment of the famous race to distraction when indoor training.
The RacerMate Interactive 3D software for use with CompuTrainer and Velotron electronic bicycle ergometer/trainers is the result of over 15 years of continuous software development. Over a dozen top level software designers, engineers and computer graphics programmers, working under the technical direction of RacerMate's President and Chief Engineer Wilfried Baatz, have created a unique body of technical, motivational, and 3D graphics software that represents the state of the art. Innovative new software products to enhance the RacerMate experience are continuously developed such as MultiRider, Interactive Real Course Videos, Adjustable Aerodynamic Drag Factor, Topo USA Course Creation (RacerMate Edition) and Wingate Testing. All are designed for compatibility with the existing trainer hardware.
CompuTrainer allows you to set the desired wattage reached, rather than just measuring output. So you can know how much force that is very suitable for HOP (Hour of Power) training methods in training.
Computrainer offer different models, each with different interesting and useful features. Not only superior quality, but also choose different views and split-screen; provide heart rate, speed and other timely analysis of the current and previous training data can be stored.
