© 2018 FUELOGICS, LLC

OUR OBSESSION IS YOUR ADVANTAGE.

Fuelogics is built from the ground up, combining cutting-edge physiological and behavioral science with revolutionary integration methods to pioneer performance nutrition and management.

Novel integration methods
to devour the status quo.
Enhanced sophistication through utilization 
of a wider array of variables and interactions.

Fuel for the work required. Carbohydrate and fat fluctuate according to more than just training duration and basic timing principles. Support optimal adaptations and performance as 

Fuelogics considers intensity, chronic training status, and more. Guide interventions by monitoring what your athletes are actually consuming.

High dietary carbohydrate content during intensified running training results in better maintenance of performance and mood state (Achten et al, 2004)

8.5 g/kg carbohydrate

5.4 g/kg carbohydrate

4.6 g/kg carbohydrate

(typical athlete intake)

 

Optimize lean mass goals. Daily protein and carbohydrate intake are regulated through injury, training volume changes and detraining, variations in body composition, and weight change.

Receive alerts when athlete intakes stray too far from their goals.

Increased protein intake reduces lean body mass loss

during weight loss in athletes (Mettler et al, 2010)

35%                   30%                    35%

Typical Distribution

(Strength/Power Athletes)

Other interesting reading:

Kato et al, 2016  |  Tipton, 2015  |  Helms et al, 2014  |  Acheson et al, 1988  |  Lemon et al, 1980

Enhance weight and body composition control. Better predict energy needs, account for difficult to measure influencers like genetics and the microbiome, consider compensations in

exercise and non-exercise activity thermogenesis that come with deficits and surpluses, manipulate fiber intake and satiety cues, and control for variations in energy intake estimations.

Fuelogics manages a large variety of variables automatically and instantaneously.

Acute compensatory eating following exercise is associated with implicit hedonic wanting for food (Finlayson et al, 2009)

Efficient compensators likely to show weight control

Inefficient compensators likely to show uncontrolled weight loss

Inefficient compensators likely to show uncontrolled weight gain

Improve micronutrient and bioactive intake. Specific food, meal, and snack suggestions mold to athlete nutrition needs in real time, all the time. Seamlessly transform performance 

strategies into real food at the drop of a hat.

Training availability accounts for 86% of successful seasons in elite athletes. For every modified training week due to illness, the chance of achieving performance goals are significantly reduced. 

Upper respiratory tract infections are responsible for more than 33% of missed or modified training days. These infections tend to come at pivotal times: early in training or in the days leading up to competition.

Increasing probiotic and prebiotic intake can cut risk of illness by 45%, reduce severity when athletes do catch bugs, and speed return back to health by almost 2x.

60% of athletes - when healthy - may be losing 14% of their potential gains from training every 7 weeks as they fail to meet EARs for magnesium intake.

Novel integration methods
to devour the status quo.
 

Elevate athlete command of flexible control. Help athletes eat for performance and health while supporting a diversity of lifestyles, habits, and preferences. Promote positive goals, strategies, priorities, and thinking that lead to healthy, performance-driven behaviors.

Flexible control improves weight management, performance outcomes, and more by enabling athletes to eat according to their needs with satisfaction, sustain positive behaviors, and adapt to unforeseen circumstances. Too little or too excessive control means health and performance suffer, stemming from associations with poor weight outcomes, food selection disinhibition, dangerous use of supplements and medications, binge/purge behaviors, and less positive lifestyle choices

(Westenhoefer et al, 1990; Meule et al, 2011; Schaumberg et al, 2016).

Expand athlete understanding of food. Cut through the myths, fad diets, and misconceived trends of the time. Advance knowledge and build habits by sending resources, reminders, challenges, and more to the organization, certain teams, or specific individuals. 

Consistent food classification by the Fuelogics system is crucial for problem-solving, self-efficacy, and long-term success. Nuts are a good source of fat, plain and simple; they have some associated protein. Some organizations may tell you that nuts are protein or

lean protein: stop misinformation from impeding progress...

Peanuts, the highest "nut" in protein (not even technically a nut - actually a legume like beans), get 71% of their calories from fat. They have 5x less protein than chicken. And, yet many organizations and athletes associate nuts with protein. A little fat before training or competition is fine, but it is time to stop fat-loading, poor weight control, and protect against low protein intakes by abandoning the false comforts of the status quo.

Provide specific food suggestions. Athletes should always have the ability to easily select meals and snacks that fit their exact needs and power performance regardless of goals, demands, time, or place. Spark creativity and support habit development.

Plate models are great for introducing nutrition concepts and foods to think about at meals.

But, when training and competition are orchestrated in extreme detail, don't throw a

wrench in the system by relying on something so imprecise as a plate model. 

Athletes are starving to move beyond these basic concepts.

2.5x 1300-Calorie "Hard" Plates

3.9x 1300-Calorie "Hard" Plates

3 meals a day means the runner overshoots needs by 600 Calories while the lineman undershoots needs by 1,100 Calories. Not only do plate models fail to account for total energy needs and food consumed with snacks, but they also fail to account for variations in caloric density of foods within groups, training time and intensity nuances, weight change goals, macronutrient needs based on weight or lean mass, portion estimation error, meals that aren't neatly partitioned, and a host of other factors. Fuelogics is the next evolutionary step advancing both plate modeling and exchange-based systems.

Accelerate the feedback process. An advanced tracking model simplifies the process and speeds athlete habituation while learning about the athlete and adapting instantaneously to refine recommendations and provide practitioners with valuable insights, reports, alerts, and more.

Move beyond never-ending food databases. Reject tediousness and food variability issues. 

Shed systems that don't change with athletes and fail to keep them on track to meet their goals.

Make it simple. Empower each athlete. Adapt to their needs. Achieve their goals.

Non-Exercise Activity Thermogenesis 

Gut Flora

Portion estimation

There is huge inter-athlete variability in energy intake, utilization, and expenditure according to variables that are not commonly accounted for. Not to mention that these variables fluctuate for the same athlete over time and according to habits and goals. Accurate nutrition recommendations must account for these kind of variables and adapt as the athlete changes.

to learn more about gaining a competitive advantage for your organization today.