StatLine

StatLine is an adapter-driven player scoring and analytics toolkit for turning raw stat rows into weighted, explainable ratings.

It can run completely local for simple scoring workflows, or against SLAPI, the optional StatLine API layer for authenticated remote scoring, adapter inspection, and multi-client deployments.

Release target: v3.0.0
Python: 3.10 through 3.14
License: AGPL-3.0-or-later, with separate trademark restrictions for the StatLine name and branding.

What StatLine does

StatLine takes raw rows like CSV box-score data, maps those rows through an adapter, scores the mapped metrics, then returns profile scores such as PRI and adapter-defined variants.

At a high level, StatLine provides:

• Adapter-based scoring for different games, leagues, datasets, or stat schemas.
• Local scoring through the Python package and statline CLI.
• Remote/API scoring through SLAPI when installed with the remote stack.
• Weighted score profiles, including PRI-style outputs and adapter-defined variants.
• Batch scoring, row scoring, mapping-only commands, and already-mapped calculation commands.
• Adapter inspection tools for inputs, metrics, dimensions, filters, weights, and sniffing.
• Typed public Python API for bots, dashboards, notebooks, and application code.

Install

StatLine v3.0.0 has four intended install variants.

For a source checkout:

python -m venv .venv
source .venv/bin/activate  # Windows: .venv\Scripts\activate
python -m pip install --upgrade pip
python -m pip install -e ".[devpack]"

Quick start: local CLI

Local mode avoids all network probing and uses the installed StatLine core directly.

statline --mode local adapter list
statline --mode local adapter inputs demo
statline --mode local adapter weights demo

Score the bundled demo CSV from a source checkout:

statline --mode local score \
  --adapter demo \
  statline/data/stats/DEMO/demo.csv \
  --fmt table \
  --profile all \
  --percentile \
  --limit 10

Write JSON instead:

statline --mode local score \
  --adapter demo \
  statline/data/stats/DEMO/demo.csv \
  --fmt json \
  --pretty \
  --out results.json

Quick start: Python API

from statline import list_adapters, load_dataset, score

print(list_adapters())

rows = load_dataset("DEMO/demo", limit=10)
results = score("demo", rows, mode="batch", weights="pri")

for row in results[:3]:
    print(row["pri"], row["pri_raw"], row.get("scores", {}))

For one row:

from statline import score_row

player = {
    "name": "Example Player",
    "ppg": 24.5,
    "apg": 6.2,
    "orpg": 1.0,
    "drpg": 4.0,
    "spg": 1.5,
    "bpg": 0.7,
    "tov": 2.1,
    "fgm": 9.2,
    "fga": 18.4,
    "win": 12,
    "loss": 8,
}

result = score_row("demo", player, weights="pri")
print(result["pri"])

CLI overview

The main command is:

statline --help

Useful global options:

Primary user commands:

Scoring concepts

Adapter

An adapter is a YAML contract that explains how to turn raw fields into StatLine metrics. It defines:

• metadata such as key, version, aliases, and title,
• raw-to-metric mappings,
• derived efficiency metrics,
• buckets,
• weight profiles,
• penalties,
• score profiles,
• optional dimensions and filters,
• optional sniffing rules for adapter detection.

Metric

A metric is a numeric signal used by the scoring engine. Metrics can be direct fields, constants, or safe expressions over previous values.

Bucket

A bucket groups metrics for weighting. A PRI profile does not usually weight every metric one by one; it weights the buckets.

Weight profile

A weight profile defines how strongly each bucket contributes. The default profile is usually pri, but adapters can expose more.

Score profile

A score profile controls how the normalized raw score becomes a published score. StatLine supports affine profiles and windowed profiles.

PRI and pri_raw

pri_raw is the normalized raw score. pri is the adapter/profile-rendered score. Some adapters also expose additional profile scores such as pri_af, pri_ar, or pri_ap.

Input formats

The CLI reads CSV, YAML, JSON-like YAML, and stdin CSV for commands that accept file input.

CSV example:

name,ppg,apg,orpg,drpg,spg,bpg,tov,fgm,fga,win,loss
Example Player,24.5,6.2,1.0,4.0,1.5,0.7,2.1,9.2,18.4,12,8

YAML example:

- name: Example Player
  ppg: 24.5
  apg: 6.2
  orpg: 1.0
  drpg: 4.0
  spg: 1.5
  bpg: 0.7
  tov: 2.1
  fgm: 9.2
  fga: 18.4
  win: 12
  loss: 8

Remote/API mode

Install the remote variant:

pip install "statline[remote]"

Start SLAPI locally:

statline --mode local serve --host 127.0.0.1 --port 8000

Or use the slapi console entry point:

SLAPI_HOST=127.0.0.1 SLAPI_PORT=8000 slapi

Then point clients at it:

export SLAPI_URL="http://127.0.0.1:8000"
statline --mode remote sys status

SLAPI supports protected auth flows. Normal remote use requires both device enrollment and an API key. Administrative and moderation commands require the matching scopes.

Common auth flow:

statline auth device-init
statline auth enroll --token reg_... --user your-handle --email you@example.com
statline auth apikey-request --owner your-name
statline auth apikey-claim --request-id REQUEST_ID
statline auth whoami

The exact approval steps depend on the SLAPI administrator.

Development

Install the development pack:

python -m pip install -e ".[devpack]"

Run checks:

pytest
ruff check statline tests
mypy statline
pyright

Legal

StatLine source code is licensed under the GNU Affero General Public License v3 or later. The StatLine name, marks, and logos are not granted by the source license.

See:

• LICENSE
• TRADEMARK_POLICY.md
• CLA.md
• legal/tos.md
• legal/privacypolicy.md
• legal/aup.md

Repository

• Homepage: https://statline.dev
• Repository: https://github.com/amillolive/StatLine
• Issues: https://github.com/amillolive/StatLine/issues