// Research

The papers
we read
before we started.

Athlete-load monitoring isn't new. College and pro programs have used it for over a decade. What's new is who gets it. Below is the published work we read, with a link to every paper. Read it yourself.

We didn't invent any of this. We read it before we designed anything. None of these studies tested Slingshot's hardware, and the section at the bottom says what we have not tested yet.

International Journal of Sports Physiology & Performance

Testing whether an accelerometer reports the same movement the same way twice

Researchers ran triaxial accelerometers on a calibration rig and then through live Australian-football matches. The combined acceleration across all three axes, the signal the field calls Player Load, stayed consistent within a single device and between devices, and still picked up real differences in how hard athletes worked.

Why it matters

This result is about the instrument rather than about an athlete. If a device reports different numbers for the same movement on two different days, nothing measured from it can be read over time. That question has been answered for accelerometers worn on the torso in Australian football. Nobody has answered it for a sensor on the upper arm in basketball, and it is one of the questions we have to answer ourselves.

Boyd, Ball & Aughey, 2011 Read the study →
Journal of Sports Science & Medicine

Accelerometer load tracks real demand in basketball

Twelve Spanish first-division players were tracked across 16 sessions. A triaxial accelerometer separated the demand of different drills cleanly: full-court 3v3 and 5v5 carried the most load, and smaller guard-type players piled up more acceleration load than bigger players running the same drill.

Why it matters

The study ran indoors, in basketball practice, with no GPS, which is the setting a private academy trains in. It found that an accelerometer separated a walkthrough from a live scrimmage. The players were adult professionals and the sensors were not worn on the upper arm. The result describes a setting we care about. It does not describe our hardware.

Schelling & Torres, 2016 Read the study →
Scand. Journal of Medicine & Science in Sports

Jump counts checked against video across whole sessions

A wearable accelerometer was checked against video through entire training sessions and matches in elite volleyball. The comparison ran across whole sessions on court rather than across a set of isolated repetitions in a lab.

Why it matters

Jump counting is the one number on a report a trainer can check from the sideline with no equipment at all, which is why it is worth getting right. This study compared a wearable against video in volleyball, on senior athletes. Nobody has published a jump count taken from a sensor on the upper arm, where a raised arm and a jump can look similar to one sensor.

Skazalski, Whiteley, Hansen & Bahr, 2018 Read the study →
// Context: movement and effort are two different things
Journal of Strength & Conditioning Research

The monitoring framework elite basketball already runs on

A review of how top basketball programs monitor players. It separates external demand, the movement and accelerometer load, from internal response, the heart rate and perceived effort, and reads the relationship between the two to judge whether a player is ready to compete.

Why it matters

The review describes how professional programs monitor players. Those programs have staff and budgets a private academy does not have, and the distance between the two is the reason we are working on this.

Fox, Scanlan & Stanton, 2017 Read the study →
Scientific Reports (Nature)

Why one number is never the whole picture

Sixteen players in Spain's top league were tracked across 19 sessions using planned load, heart rate, inertial devices, and perceived-effort scales side by side. Internal effort and external movement turned out to measure different, complementary parts of the same session.

Why it matters

The finding is that two ways of measuring the same session did not substitute for each other. Any single number that claims to summarise a whole session is leaving something out, and that is worth knowing before anyone builds one.

Scientific Reports, 2025 Read the study →
// The gap

The research itself shows youth got skipped

A systematic review sorted basketball training- and game-load studies by level. Twenty covered elite players, nine sub-elite, and only six covered youth. The monitoring evidence concentrates at the professional end of the sport, in the same place the tools that generate it do.

This is the gap, written into the literature, not just our pitch. The players with the least data are the developing ones. That is exactly who Slingshot is built for.

Systematic review, PLOS ONE, 2020 Read the study →

Every study here is independent and peer-reviewed. The plain-language summaries are ours, written for a coach rather than a journal, and each links to the original paper. Some links land on abstract or repository pages where full text needs institutional access.

// What we have not tested

We have no field results yet. Nothing above was measured by a Slingshot pod, no athlete has worn one, and none of these studies tested our hardware. The first design is dead and the second is being drawn. The first numbers off a real session get published on this page, in plain sight, not buried in a deck.

Slingshot is built in LA by three co-founders. We read the papers above before we wrote a line of firmware, and our own court data lands on this page the week we have it.

Start with
your own floor

Papers are not sessions. We drive to gyms across LA, OC, and SD to watch one and ask what belongs on the report.