StatLine

StatLine™ — weighted player scoring, efficiency modeling, and tooling.

“StatLine” is a trademark of StatLine LLC (in formation), registration pending. Source code is licensed under the GNU Affero General Public License v3 (see LICENSE). Brand, name, and logo are not covered by the AGPL (see TRADEMARKS.md).

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What is StatLine?

StatLine is an adapter‑driven analytics framework with an optional remote API (SLAPI) and a Discord app (SLcord). It:

• normalizes raw game stats,
• computes per‑metric scores (clamps, inversion, ratios),
• aggregates into buckets and applies weight presets (e.g., pri, mvp, role weights),
• exposes a clean CLI and Python library API,
• optionally ingests Google Sheets and caches mapped rows,
• integrates with SLAPI for secure, multi‑client deployments,
• and (new) stabilizes PRI to a 55–99 normalized range.

Supported Python: 3.10 – 3.13 (CI: Linux, macOS, Windows)

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What’s new (v2.1.0)

• Keys & Auth: REGKEY + API Access Tokens (tokens correspond to an active REGKEY).

• PRI normalization: output scale locked to 55–99 for clearer tiers and saner UX.

• Adapters: tightened demo adapter + docs; versioned schemas.

• Roadmap (ships in v2.1.0):

  • Batch processing filters (by position, games played, and adapter‑defined stat predicates)
  • Output toggles (e.g., show weights, hide pri_raw, include per‑metric deltas)
  • Percentiles (dataset or sample contextualization)

• SLcord: official Discord client (thin shim on SLAPI) with simple commands.

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Install

Base install:

pip install statline

With extras:

# Google Sheets ingestion
pip install "statline[sheets]"

# Developer tools (linters, types, tests)
pip install -e ".[dev]"

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CLI Basics

The console script is statline (also callable via python -m statline.cli).

statline --help
python -m statline.cli --help

Common commands

# list bundled adapters
statline adapters

# interactive scoring REPL (banner + timing are enabled by default)
statline interactive

# score a file of rows (CSV or YAML understood by the adapter)
statline score --adapter example_game stats.csv

# write results to a CSV instead of stdout
statline score --adapter example_game stats.csv --out results.csv

Subcommands:

• adapters — show available adapter keys & aliases
• interactive — guided prompts + timing table
• export-csv — export cached mapped metrics (when using cache/Sheets flow)
• score — batch‑score a CSV/YAML through an adapter

When the CLI runs, you’ll see a banner (to confirm proper install):

=== StatLine — Adapter-Driven Scoring ===

Enable per‑stage timing via env (e.g., 14ms):

STATLINE_TIMING=1 statline score --adapter rbw5 stats.csv

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Python Library (Local Core)

from statline.core.scoring import calculate_pri_single, calculate_pri_batch
from statline.core.adapters import load_adapter

adapter = load_adapter("example_game")
row = {"stat1_total": 24, "rounds_played": 15, "stat2_numer": 9, "stat2_denom": 20,
       "stat4_good": 18, "stat4_total": 22, "stat3_count": 7, "mistakes": 2}

result = calculate_pri_single(adapter=adapter, row=row, weights="pri",
                              output={"hide_pri_raw": False, "show_weights": True})
print(result.pri)     # normalized 55–99
print(result.details) # per-bucket breakdown

Batch:

rows = [row, {...}, {...}]
res = calculate_pri_batch(adapter=adapter, rows=rows,
                          filters={"games_played_gte": 10},
                          output={"percentiles": True})  # v2.1.0 feature

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Remote API (SLAPI)

Use SLAPI for remote/scaled workflows. SLAPI validates REGKEY or API Access Token on every request. Revocation invalidates both.

Auth headers (choose one)

Authorization: Bearer <API_ACCESS_TOKEN>
# — or —
X-SLAPI-REGKEY: <REGKEY>

Discover adapters

curl -s https://api.slapi.dev/v1/adapters \
  -H "Authorization: Bearer $SLAPI_TOKEN"

Score a single row

curl -s https://api.slapi.dev/v1/score/row \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $SLAPI_TOKEN" \
  -d '{
    "adapter": "basketball.demo",
    "row": {
      "pts": 27, "reb": 8, "ast": 6, "tov": 2, "stl": 1, "blk": 1,
      "fgm": 10, "fga": 18, "ftm": 5, "fta": 6, "tpm": 2, "tpa": 6, "min": 33
    },
    "output": {"show_weights": true, "hide_pri_raw": false}
  }'

Batch (v2.1.0 filters & percentiles)

curl -s https://api.slapi.dev/v1/score/batch \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $SLAPI_TOKEN" \
  -d '{
    "adapter": "basketball.demo",
    "rows": [...],
    "filters": {"position": ["SG","SF"], "games_played_gte": 10,
                 "stat_where": [{"stat":"tov","op":"<=","value":3}]},
    "output": {"percentiles": true, "hide_pri_raw": true}
  }'

Error model (example):

{"error": {"code": "REGKEY_REVOKED", "message": "Key revoked", "trace_id": "b4c2a9"}}

Suggested codes: UNAUTHORIZED, FORBIDDEN, REGKEY_MISSING, REGKEY_REVOKED, RATE_LIMITED, ADAPTER_NOT_FOUND, INVALID_ROW, TRANSFORM_UNSAFE.

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SLcord (Discord App)

SLcord is a thin client over SLAPI—no business logic duplication.

Example surface:

• /pri row — 1 row → PRI + percentile (+ weights if opted)
• /pri batch — CSV upload → filtered + ranked → top N
• /adapter info — required fields, transforms, weights
• /health — latency + rate‑limit remaining

Key handling: bind a server‑scoped key; avoid DMs for credentials. Provide a simple setup command to store the key securely (e.g., guild‑scoped secret).

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Input Formats

StatLine reads CSV or YAML. Columns/keys must match adapter expectations.

CSV

• First row is the header.
• Each subsequent row is an entity (player).
• Provide raw fields your adapter maps (e.g., pts, ast, fgm, fga, tov).

display_name,team,pts,ast,orpg,drpg,stl,blk,fgm,fga,tov
JordanRed,RED,27.3,4.8,1.2,3.6,1.9,0.7,10.2,22.1,2.1

Example adapter (YAML)

Adapters define schema for raw inputs, buckets, weights, and derived metrics. Place in statline/core/adapters/defs/.

key: example_game
version: 0.2.0
aliases: [ex, sample]
title: Example Game

dimensions:
  map:   { values: [MapA, MapB, MapC] }
  side:  { values: [Attack, Defense] }
  role:  { values: [Carry, Support, Flex] }
  mode:  { values: [Pro, Ranked, Scrim] }

buckets:
  scoring: {}
  impact: {}
  utility: {}
  survival: {}
  discipline: {}

metrics:
  - { key: stat3_count, bucket: utility,    clamp: [0, 50],  source: { field: stat3_count } }
  - { key: mistakes,    bucket: discipline, clamp: [0, 25], invert: true, source: { field: mistakes } }

efficiency:
  - key: stat1_per_round
    bucket: scoring
    clamp: [0.00, 2.00]
    min_den: 5
    make: "stat1_total"
    attempt: "rounds_played"

  - key: stat2_rate
    bucket: impact
    clamp: [0.00, 1.00]
    min_den: 10
    make: "stat2_numer"
    attempt: "stat2_denom"

  - key: stat4_quality
    bucket: survival
    clamp: [0.00, 1.00]
    min_den: 5
    make: "stat4_good"
    attempt: "stat4_total"

weights:
  pri:
    scoring:    0.30
    impact:     0.28
    utility:    0.16
    survival:   0.16
    discipline: 0.10
  mvp:
    scoring:    0.34
    impact:     0.30
    utility:    0.12
    survival:   0.14
    discipline: 0.10
  support:
    scoring:    0.16
    impact:     0.18
    utility:    0.40
    survival:   0.16
    discipline: 0.10

penalties:
  pri:     { discipline: 0.10 }
  mvp:     { discipline: 0.12 }
  support: { discipline: 0.08 }

sniff:
  require_any_headers:
    [stat1_total, rounds_played, stat2_numer, stat2_denom, stat4_good, stat4_total, stat3_count, mistakes]

See HOWTO.md for adapter authoring.

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Versioning & Stability

• Adapters: semantic (MAJOR.MINOR.PATCH). Breaking schema changes → new MAJOR.
• PRI scale: fixed to 55–99; any change happens only via a new adapter version.
• SLAPI: deprecations target ≥60 days notice unless security requires faster action.

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Security & Legal

• Revocation: We may revoke keys for AUP violations; revocation invalidates both REGKEY and any derived API tokens immediately.
• ToS / Privacy / AUP: see /legal links below.
• Trademark: "StatLine" and associated logos are trademarks; see TRADEMARKS.md.

Links:

• Terms of Service — /legal/tos
• Privacy Policy — /legal/privacy
• Acceptable Use Policy — /legal/aup
• Contributor License Agreement — CLA.md
• License — LICENSE
• Trademark Policy — TRADEMARKS.md

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Quick FAQ

Is the CLI required? No. Use the Python API directly or the remote SLAPI.

Can I use my own game? Yes—write an adapter; any game with a box score + valid datasheet can work.

Do I need env vars? No. You can pass --token/--regkey flags in clients. For ops, env vars are supported.

How are percentiles computed? Per dataset/sample window defined in the request or adapter context (v2.1.0 feature).

Discord support? SLcord surfaces row/batch scoring, adapter info, and health checks. Guild‑scoped key binding only.