For leagues, tournaments, and stats crews

PivotScout

Upload roller derby statsbooks and turn them into clear game dashboards, skater profiles, lineup context, and penalty impact analysis.

Toulouse Quad Guards 235

Concussion 93

Statsbook loaded Lineups connected Insights ready

What PivotScout shows

From raw statsbook to game intelligence

Private team workspaces

Each user sees only their own uploaded games and skater records, with admin-approved accounts and secure sessions.

Game dashboards

Upload one or many statsbooks and get final scores, lead-time summaries, score charts, and key game highlights.

Skater intelligence

Build player profiles across your games with PivotScout Rating, VTAR, role splits, lead rates, penalties, and power-jam context.

Lineups and packs

Review every jam by role, spot penalty moments visually, filter blocker appearances, and surface likely pack combinations.

Penalty impact

See who took penalties, when they mattered, and how teams performed during power-jam offense and defense.

Jammer breakdowns

Compare jammer scoring share, lead percentage, average points per jam, and time spent as lead when game-clock data exists.

PivotScout Rating

A context-aware skater rating for modern derby

VTAR is useful, but it can flatten the story of a jam. PivotScout Rating starts from on-track impact, then adjusts for the situation around the skater: who they shared the track with, whether their team was on a power jam, whether they were defending during a power jam against, and whether penalties changed the shape of the jam.

The goal is not to crown a skater from one number. It is to surface the performances that deserve a closer look: blockers who protect a bad situation, jammers who convert advantages, pivots who stabilize packs, and skaters who keep winning shifts when the track context is working against them.

How it is calculated

The rating starts at a neutral baseline, then rewards team-relative plus/minus per jam. It adjusts for teammate strength, power-jam opportunities, power-jam-against risk, short-handed positive jams, and VTAR signal when the statsbook provides it.

Why it beats raw VTAR

VTAR can tell you what happened while a skater was on track. PivotScout asks how hard that result was to earn. A positive jam beside a stacked pack is different from a positive jam while defending a jammer penalty.

What it means for teams

Coaches can compare skaters across roles, spot under-valued defensive work, identify reliable pack combinations, and find players who perform when the game state is messy.

Support PivotScout

Help keep the stats flowing

PivotScout is being built for derby people who want clearer game data without losing evenings to spreadsheet archaeology. If it saves you time, a Ko-fi helps cover hosting, testing, and the next round of useful features.

Support on Ko-fi