Many Data Sources. No Architecture to Connect Them.
The Fragmentation Problem
Most clubs sit on more performance data than ever before. The problem is not volume. It is that the data lives in disconnected systems with no individual model underneath it. No standardised infrastructure. No consolidation strategy. No security architecture built for clinical data. Twinspire is the structured layer that connects what is already being collected.
The Fragmentation Problem
Most clubs sit on more performance data than ever before. The problem is not volume. It is that the data lives in disconnected systems with no individual model underneath it. No standardised infrastructure. No consolidation strategy. No security architecture built for clinical data. Twinspire is the structured layer that connects what is already being collected.
The Recovery Gap
The data your players generate off the training pitch, rest-day recovery scores, sleep quality, nocturnal HRV, often sits outside the club's performance environment. Combining these signals with training load can give staff a richer longitudinal view of how an individual is responding.
The Recovery Gap
The data your players generate off the training pitch, rest-day recovery scores, sleep quality, nocturnal HRV, often sits outside the club's performance environment. Combining these signals with training load can give staff a richer longitudinal view of how an individual is responding.
Why Both Streams Matter
Combining recovery monitoring with training load provides a richer basis for modelling the athlete as a dynamic system. Twinspire's research programme is testing which combinations of signals add meaningful explanatory value at the individual level, and under what conditions.
Why Both Streams Matter
Combining recovery monitoring with training load provides a richer basis for modelling the athlete as a dynamic system. Twinspire's research programme is testing which combinations of signals add meaningful explanatory value at the individual level, and under what conditions.
In practice
What the data looks like in use
The changing pattern
A player's club metrics look normal. Three weeks of declining wearable recovery scores tell a different story. Twinspire surfaces the pattern and the signals driving it, giving staff more context to interpret the change.
The return-to-play decision
Return-to-play decisions combine clinical assessment with performance and recovery data. Twinspire adds the player's individual response profile and longitudinal trend, giving staff documented context alongside clinical judgment.
The new signing
A player transfers. Instead of rebuilding their physiological context from zero, relevant parts of their Athletic Passport can move with them, carrying forward their Individual Physiological Response Profile subject to permissions and governance.
Club data. Personal data. One individual model
Works With Your Current Setup
API integration with your existing platform, Catapult, Statsports, Bricks, or any provider with an open API. No migration. Outputs appear in your current interface.
Connects the Private Data Stream
The personal wearables your players use off-site. Built with a governance architecture designed to integrate relevant data into club analytics under appropriate permissions.
Individual Baseline Modeling
What normal looks like for this specific player, not for footballers in general. Built from both streams, continuously updated, with meaningful deviations and their key drivers surfaced explicitly.
The questions we answer every day
- 01
Is this player's current state within their personal normal range, combining club and personal data?
- 02
Which signals are driving any deviation, and from which data stream?
- 03
How does this player's current state compare with their own recent baseline and response history?
- 04
What has changed since last session, and does the pattern match anything seen before?
The Individual Baseline
Not a squad benchmark
A shift that looks unremarkable across a squad can be meaningful for a particular player. Each individual's reference behaviour is built and measured separately.
Trained staff leave. The model does not.
Experienced staff build valuable contextual knowledge about long-term players. Twinspire is designed to preserve longitudinal physiological context when staff, systems or clubs change.
The Athletic Passport
The portable, athlete-centred representation of the Individual Physiological Response Profile: what the model has learned about how that athlete responds over time. With appropriate permissions and governance, that context can move with the athlete when they transfer.
The Player App
Players connect supported personal wearables and complete a morning check-in directly in the Twinspire app. This is one way the personal data stream can enter the model. The daily check-in captures subjective readiness, sleep quality and wellness markers alongside wearable-derived signals. If your club already has a player-facing app, Twinspire can integrate with it rather than sit alongside it.
Built For Everyone Who Supports the Athlete
One intelligence layer. Three perspectives.
Footballers
Your Individual Physiological Response Profile is built over time and can remain portable through the Athletic Passport, so your physiological context does not have to reset when you change clubs.
Coaches & Performance Staff
Squad-level context built on individual baselines rather than population averages alone, combining relevant club and personal signals where permissions allow.
Physiotherapists
Deviation alerts across club and player data, with the contributing signals surfaced explicitly so staff can interpret meaningful change in context.
Built at DTU By People Who Have Lived the Problem
The Compliance Architecture Built Around Five Principles
As player unions and club legal teams scrutinise how health and performance data is handled, the compliance architecture your platform is built on matters.
Identify
Model inputs are selected for physiological relevance and traceability. The validation programme is testing which variables and combinations provide meaningful explanatory value for individual athlete state and response.
Validate
Validation is treated as part of the development lifecycle, not a post-launch add-on. Twinspire has been developed from the outset with EU MDR requirements informing its development, governance and validation approach.
Consent
Granular and transparent. Athletes can understand and manage relevant sharing permissions and consent where applicable; access is role-based and context-specific.
Frequently Asked
The questions clubs, athletes, and partners ask most often.
Twinspire connects club and athlete data and builds a continuously updated individual physiological model for each athlete. It learns what is normal for that individual and surfaces meaningful deviations, contributing signals and longitudinal context for performance and medical staff. It is a decision support tool, not a replacement for clinical judgment.