Max HartwigSports science · data · product
DEContact
Sports science · data · product

More data won't improve performance.Better decisions will.

I work where measurements alone are not enough: between a sports-science question, trusted evidence and a product people can use in training.

See the work
MEANINGFULPERFORMANCETECHNOLOGY01 / DOMAINSPORT SCIENCE02 / EVIDENCEDATA & VALIDATION03 / DELIVERYPRODUCT DEVELOPMENT
Sport context Evidence Produkt
01 / Perspective

A metric is not the answer. What athletes and coaches can do with it is what matters.

My work starts with the performance question, not the algorithm: What are we trying to understand, how reliably can we measure it and which decision should become easier?

Sports-science judgement, data analysis and product thinking belong together. That is how measurements become useful tools for daily training.

02 / Selected work

When data earns
its place in training.

Three projects show how a sports-science question becomes a useful product. Technical depth matters only when something useful reaches practice.

01
Jump diagnostics · sensing · validation

Jump Performance Analysis

A jump takes seconds. So should the feedback.

At Microgate, I worked on capturing jump performance with GykoPro and explaining it clearly on an iPhone. My master's thesis then validated the test design, signal processing and mobile workflow against OptoJump and a force plate. The analysis is now part of ProMove.

Developed at Microgate, validated in my master's thesis and now used as part of ProMove.

My role
Test design, signal processing, scientific validation and translation into a mobile testing workflow.
What it became
A validated jump analysis that delivers clear feedback immediately after the test and is now used in ProMove.
2,000+jump recordings used in model development
3 systemsIMU, OptoJump and force plate comparison
Explore the case study
MASTER'S THESIS / VALIDATIONJump height and flight time: GykoPro compared with OptoJump
30 people · 780 jumps
Agreement0.990ICC(2,1) jump height
Overall error1.17 cmMAE ± 0.39 cm
Within ±2 cm83.8%± 15.2% across people
Jump-height MAELimit 2 cm
012 cm
CMJ
1.39 cm
Squat Jump
1.13 cm
Repeated CMJ
1.01 cm
Overall
1.17 cm
Sports-science question→Validated pipeline→ProMove Mobile
Means ± SD across 30 people. Error bars show between-person variation; each scale ends at its predefined tolerance limit.
9:41
Live Jump TestCountermovement Jump
LIVE
LAST JUMP36.1 cm
Gyko ready
HeightFlight
AVG HEIGHT32.6 cm
LAST FLIGHT543 ms
TOTAL JUMPS5
Jump Heights5 jumps detected
J1
J2
J3
J4
J5
Latest Detections
J536.1 cm543 ms
PauseStop Test

Source: Hartwig, M. (2026). Validation of a Post-Processing Algorithm for Jump Detection and Jump Parameter Estimation: Comparison with the Optoelectronic OptoJump System and a Force Plate. Master's thesis, University of Innsbruck. Figure summary redrawn for this portfolio.

Explore the case study
01 / 04Loading screen
02
Flywheel training · live feedback

Inertia Showcase

A sensor can measure a lot. That does not mean it explains anything.

In flywheel training, the GykoPro signal has to make sense while the set is still happening. I contributed from the Bluetooth stream through analysis to the native iOS view, making concentric and eccentric phases visible without asking coaches to interpret raw data.

From the GykoPro signal to clear live feedback for concentric and eccentric phases.

My role
Helped shape the path from the GykoPro signal to a clear live view for training.
What it became
A 400 Hz live stream becomes clear concentric and eccentric feedback while the set is still happening.
400 Hzlive sensor stream
Real timeconcentric and eccentric analysis
03
Cycling intelligence · concept prototype

SpinningLab

Training data tells a story. Most apps only show the numbers.

SpinningLab is my functional iOS concept prototype for making training histories easier to understand. Activities, performance development, planning and coaching become one connected context rather than separate charts, using real Strava histories and sports-science models with transparent limits.

A functional iOS prototype that turns training histories into context, direction and useful next steps.

My role
Product idea, sports-science logic, data model and functional iOS prototype.
What it became
An end-to-end product concept for analysis, planning and coaching based on real training histories.
Prototypefunctional, not publicly released
Evidence ledtraining models with explicit limits
Explore the case study
SpinningLab app icon
SPINNINGLABCYCLING INTELLIGENCE
01 / 13Loading screen · Dark
Explore the case study
03 / Approach

Four fields.
One perspective.

Technology follows the sports-science question. What matters is whether a measure can be trusted, understood and used to improve the next decision.

01

Sports science

Frame performance questions, choose suitable testing methods and interpret results in their training context.

Question
02

Understanding data

Prepare performance and sensor data, examine measurement quality and make relevant patterns easier to see.

Evidence
03

Choosing methods deliberately

Use statistics and machine learning where they genuinely help answer a specific sports-science question.

Method
04

Into practice

Turn findings into clear testing workflows, reports and product concepts for athletes and coaches.

Application
04 / Experience

Where my perspective
was shaped.

Professional football, clinical research and sports technology taught me to see performance from the field, the lab and the product side.

012025 - 2026
Microgate / Bolzano

Junior Test & Data Analysis Assistant

Worked on practical measurement questions in sport, from sensor signals and validation to testing workflows, reports and product concepts.

022024
SC Paderborn 07 / 2. Bundesliga

Strength & Conditioning Internship

Experienced the daily reality of performance work in professional football: training preparation, gym and field sessions, performance testing and monitoring.

032023 - 2024
OSIOS + Universitätsklinikum Bonn

Clinical Research Project

Took responsibility for a prehabilitation project using blood flow restriction training, from planning and data collection to practical delivery.

042020
PopUp Camps / Hamburg

Customer Relations & Sales

Customer support, booking operations and sales, with an early eye for making digital processes easier for people.

Education / Academic record

Think scientifically.
Work practically.

Performance research, an international perspective and a focus on making scientific insight useful beyond the university.

2024 - Sept 202601
MSc Sports ScienceUniversity of Innsbruck / completing September 2026
Completed 202402
BSc Sport & PerformanceGerman Sport University Cologne / Grade 1.5
International studies 202303
Exchange SemesterNorwegian School of Sport Sciences
Black-and-white professional portrait of Max Hartwig
Max HartwigSports science × data × product
05 / About

Sport is never
just a number.

I am interested in the moment a measurement becomes a decision. Performance happens under pressure, with fatigue, trust and people who cannot wait for perfect data.

Professional football, clinical research and sports technology taught me to connect those realities. I clarify complexity far enough that others can act with confidence.

Curriculum vitaeRead the full backgroundPDF
06 / Contact

You have the data.
But no clear decision yet?

If a performance question, a sensor signal or a product idea still do not quite fit together, we should talk.

hartwig.max@googlemail.com Connect onLinkedIn

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