Troika Performance Intelligence

Science that turns
physiology into
race outcomes

A complete physiological profiling and race intelligence platform built for NCAA programs that demand measurable competitive advantage.

Paris 2024 Olympics — 23 athletes, 5 medallists

35+ years international elite coaching science

Active partnerships: Tennessee · ASU · Amherst · South Africa · Malaysia

Published: Glucose Turn Point · 2CA Tri-Phasic Metabolic Model

SWIMMER PHYSIOLOGICAL PROFILER v10.5

Athlete Profile — 200m Freestyle ACTIVE

WERP — Weighted Event Reference Point

76% of ceiling

1.78 _m·s⁻¹

Δ +0.04 vs last block

4.82

CS (m·s⁻¹)

18.4 kJ

W′ Prime

847

Swift Score

Froude-Adaptive Power–Velocity Curve (P ∝ v³)

Training Zone Distribution

Base

Aerobic

Tempo

Threshold

VO₂max

Anaerobic

The Platform Suite

Three precision instruments.
One integrated intelligence.

TPI is not a generic sports science platform. Every algorithm is derived from peer-reviewed published research by Emma Swanwick — the Glucose Turn Point, the 2CA tri-phasic metabolic model, and the Froude-adaptive power law unique to aquatic environments.

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Swimmer Physiological Profiler

v10.5 — Core Engine

Derives an individually-specific physiological ceiling from multi-event lactate and speed data, replacing population-based norms with athlete-precise intensity anchors.

WERP — Weighted Event Reference Point ceiling velocity

W′ (Work Prime) anaerobic energy reserve quantification

Froude-corrected P ∝ v³ power-velocity curve (novel, publication-ready)

Swift Swim compound performance score

Individually-scaled 6-zone training prescription

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Race Intelligence Report

2CA Metabolic Analysis

Partitions every race into its three metabolic contributions — aerobic oxidative, aerobic-glycolytic, and anaerobic — using simultaneously measured lactate and glucose, not estimates.

Split-by-split pacing analysis vs WERP ceiling

W′BAL depletion curve through the race

Post-race actionable prescription: what to change and why

Side-by-side multi-race progression tracking

Exportable PDF / coaching dashboard formats

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FuelEdge CGM Platform

Apex Glucose Intelligence

Real-time continuous glucose monitoring via Abbott Libre Sense, validated against the 2CA framework to give training load and metabolic shift data never previously available at pool level.

Real-time glucose-based training load scoring

VLamax analogue from glucose kinetics

Glucose Turn Point (Gt) — published threshold marker

Critical Speed integration from Profiler

Reynolds / Froude hydrodynamic overlays

🟢 Live now — Open FuelEdge Dashboard ↗

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Rowing Physiological Profiler

v1.0 — Cross-Sport Engine

The same Froude-adaptive framework ported to ergometer and on-water rowing. One science base, multiple sport applications — ideal for multi-sport athletic departments seeking unified physiological intelligence.

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SwimTracker Programme Manager

Season Planning Intelligence

Macro-to-micro training load management aligned to the Base Six developmental framework — from year-round periodisation through to the 10-4 micro-cycle. Bridges physiological data with coaching decisions.

Race Intelligence Report

200m Freestyle — Conference Championships

Final Time

1:43.82

Split Pacing vs WERP Ceiling

50m

92% WERP

24.61

100m

88% WERP

26.14

150m

81% WERP

27.03

200m

76% WERP

26.04

2CA Metabolic Partition

54%

Aerobic Oxidative

28%

Aerobic Glycolytic

18%

Anaerobic

W′BAL Depletion Through Race

Key coaching insight: 150m split indicates W′ depletion beginning at ~120m. Third-50 aerobic glycolytic surge is masking a trainable anaerobic efficiency gap. Recommend 3×150 at 88–90% WERP with W′ partial recovery intervals.

Race Intelligence Output

Every race tells a metabolic story. We translate it into next training's prescription.

No other platform combines split-by-split WERP-anchored pacing analysis with real metabolic partition data. Coaches stop guessing about why a third 50 fell apart. The answer is in the data.

WERP-relative split analysis

Every split is expressed as a percentage of the athlete's individually-derived physiological ceiling — not population norms. The coach sees exactly where pacing strategy diverged from optimal energy allocation.

2CA metabolic partition

Simultaneously measured lactate and glucose data partition the entire race into aerobic oxidative, aerobic-glycolytic, and anaerobic contributions. Published methodology. No estimates.

W′BAL race simulation

Shows exactly when anaerobic energy reserve was depleted through the race. Makes the invisible mechanism behind fade-outs and negative split failures completely visible.

Prescriptive coaching output

The system doesn't just describe — it prescribes. Each report ends with a specific training recommendation derived from the metabolic gap identified, referenced back to the athlete's own profiler data.

The Science Underneath

Built on published research. Validated on Olympic athletes.

The TPI platform is not a software product sitting on top of someone else's sports science. Every algorithm traces directly to peer-reviewed publications by the founding researcher.

Glucose Turn Point (Gt)

A non-invasive, glucose-derived exercise intensity threshold, published by Swanwick & Matthews (2017). Forms the foundation of the FuelEdge CGM platform and provides a population-agnostic intensity anchor validated across elite and recreational populations.

2CA Tri-Phasic Metabolic Model

Simultaneous lactate-glucose measurement to partition aerobic and anaerobic contributions (Swanwick, Pyne & Matthews, 2018). Underpins the Race Report's metabolic breakdown — the only model that uses actual biomarkers rather than VO₂ proxies for metabolic partition in the field.

Froude-Adaptive Power Law (novel)

A water-physics power-velocity framework applying iterative Froude wave-drag correction (P ∝ v³), replacing land-based CP models in aquatic settings. Critical speed-constrained exponent. Earmarked for academic publication — first field-deployable model of its kind.

FuelEdge — CGM Training Dashboard

LIVE SESSION

Glucose mg·dL⁻¹ — Session Trace with Gt Threshold

128

mg·dL⁻¹

+8.4

Δ since CS

Zone

Glucose-Based Training Load (GTL) Score

64 / 100 — Moderate-High

VLamax indicator: Glucose excursion above Gt at 34 min suggests aerobic-glycolytic shift — athlete approaching lactate accumulation threshold. Recommend set reduction in next 15 min.

Athlete Positioning & Anaerobic Capacity

The two visuals that make coaches put down their phone.

The Triangle Profile and W′ panel are consistently the moments in a demo where coaches stop multi-tasking. One shows where an athlete sits in the entire energy system landscape. The other quantifies the anaerobic reserve they're actually racing on.

Energy System Triangle Profile

Event Zone Clouds — Squad Positioning

● Athlete
◌ Event zone

50m

100m

200m

400m

800m

1500m

Athlete position

What the coach sees instantly

The event zone clouds show where athletes in each event should cluster based on their metabolic demands. The athlete's dot shows where this swimmer actually sits. When a 200m freestyler's dot is drifting into the 400m zone, the training conversation writes itself — they're aerobically over-developed relative to their event ceiling, and their anaerobic contribution is undertrained. No explanation required. One glance.

W′ Critical Capacity Panel

Anaerobic Work Reserve — Froude-Derived D′

W′ Anaerobic Reserve

18.4

W′ per kg Body Mass

245

J·kg⁻¹

8.7

D′ (m)

Froude-derived

34.2

W′ Duration (s)

Above CS

1.78

CS (m·s⁻¹)

Critical speed

W′BAL Depletion — Race Simulation by Event

Coaching read: This athlete's W′ of 18.4 kJ supports 34s above critical speed before depletion. Their 200m race is consuming ~82% of W′ — leaving meaningful reserve. Prescription: increase intensity of the race's third 50 to target 90–92% W′ utilisation.

How D′ is derived — what makes this unique

D′ is computed directly from the Froude-corrected P ∝ v³ power-velocity curve — not from a straight-line distance-time regression. The mean of (v_i − v_WERP) × t_i across all curve points above critical speed, consistent with the same water-physics model driving every other output. No land-based approximations. No standard CP model shortcuts. The anaerobic reserve is derived in the same physical framework as the critical speed itself.

Why W′ changes what you prescribe

Every coach knows their swimmer is "fading." W′ tells you whether that fade is W′ depletion (fix: more anaerobic capacity work, longer recovery intervals) or premature depletion through poor pacing (fix: hold 88% WERP longer before the third 50 push). Two very different problems. W′ tells you which one you're actually dealing with.

Ready to see it live?

Start with a 30-minute demo.
See your athletes' data differently.

TPI is already operating at Tennessee, Arizona State, and Amherst College. Partner programmes receive full platform access, on-site testing protocol support, and co-authorship on emerging publications.

See a Sample Report Submit Athlete Data Executive Brief About Emma

Emma Swanwick M.Med.Sci · PhD Candidate (Exercise Physiology) · Troika Performance Intelligence
emma@troikaperformance.com · troikaperformance.com

Science that turnsphysiology intorace outcomes

Three precision instruments.One integrated intelligence.