Honest comparison · updated 2026
The BallDontLie alternative with one schema across every sport
BallDontLie is a well-liked sports API that has grown well beyond its NBA-only roots. Big Balls Sports Data is worth a look if you want every sport under one unified schema, pre-assembled matchups, and a built-in intelligence layer (Elo predictions, ATS splits, a player-prop value finder with hit rates). Both are strong; pick on schema shape and the specific endpoints you need.
One Big Balls call returns the full matchup — teams, players, season stats, and last-5 form assembled server-side — so you don't stitch it together from separate calls.
What you would pay at your scale vs BallDontLie
10,000 requests/day on Big Balls Sports Data. A full matchup page is 1 call here vs 8 raw calls per sport on BallDontLie.
Big Balls Sports Data
$49/mo
Trio plan · All sports, one subscription
BallDontLie
$119.97/mo
3 × GOAT
Save $70.97/mo($851.64/yr)
AND skip building the assembly layer.
- Pre-assembled matchup responses (you call and join ~8 endpoints yourself)
- Elo predictions and win probabilities
- xG shot maps
- Player headshots
- Confirmed lineups with formations
- Cross-sport unified schema (each sport is a separate integration AND subscription)
Request volume
1 Big Balls call = 8 raw BallDontLie calls to assemble the same matchup page — per sport. At your scale that's 10,000 vs 240,000 requests/day.
Raw BallDontLie pricing covers the data subscription only. The assembly layer, intelligence features, and cross-sport unification are engineering time you build and maintain.
BallDontLie price = raw data subscription only. Assembly layer, intelligence features, and cross-sport unification are not included at any tier. Pricing verified 2026-05-28. Priced per sport, rate-limited per minute. Each sport is a separate subscription.
What you can build
Real things that are one request here, and a stitching job on BallDontLie.
Multi-sport on one schema
NBA, NFL, NHL, MLB, soccer and more share the same response shape, so adding a sport is a new query, not a new integration.
Pre-assembled matchups
GET /v1/nba/games/:id/matchup returns teams, players, season stats and last-5 form in one call, no client-side joins.
Player-prop value finder
GET /v1/intelligence/value-props ranks prop lines by modelled edge and shows hit rates — an analysis layer on top of raw odds.
Elo predictions
GET /v1/predictions returns win probabilities from an Elo model, alongside the fixtures.
Against-the-spread splits
GET /v1/teams/:id/ats returns ATS records and situational splits, computed for you.
World Cup 2026 hub
Group standings, Elo win probabilities, and match detail for WC2026 under the same schema as everything else.
One call that closes the gap
A live request against the gateway that returns something you would have to stitch together, or could not get at all, on BallDontLie.
# 1. Get a real player id from a matchup
curl -H "x-api-key: YOUR_KEY" \
"https://api.bigballsdata.com/v1/nba/games/GAME_MATCH_ID/matchup"
# 2. Read that player's prop lines with hit rates
curl -H "x-api-key: YOUR_KEY" \
"https://api.bigballsdata.com/v1/nba/players/PLAYER_ID/props?market=points"Runs on the free tier — 1,000 requests/day, 2,000 with GitHub. No card.
Endpoint by endpoint
Every row is a Big Balls endpoint. The BallDontLie column shows whether you can get the same thing there. Rows without a plan badge run on the free tier.
BallDontLie capabilities last checked against their public docs on 2026-08-27. Competitor features change — verify against their current docs before relying on this.
Full NBA matchup assembled in one call
GET /v1/nba/games/:id/matchupsimilar data, assembled from their per-endpoint callsOne unified schema across every sport
GET /v1/{sport}/…multi-sport, but per-sport response shapesPlayer-prop value finder with modelled edge + hit rates
Solo plan and upGET /v1/intelligence/value-propsBDL ships odds and props; the edge/hit-rate model is oursElo win-probability predictions alongside fixtures
Solo plan and upGET /v1/predictionsBDL Lab offers prediction models; compare approachesAgainst-the-spread record splits, computed
Edge plan and upGET /v1/teams/:id/atscheck their current docsWorld Cup 2026 match detail on the same schema
GET /v1/wc2026/matches/:idBDL documents World Cup coverage tooNFL play-by-play with EPA and win probability
GET /v1/nfl/games/:id/playsBDL has an NFL Plays endpoint
Pricing, side by side
| Big Balls Sports Data | BallDontLie | |
|---|---|---|
| Free tier | 1,000 req/day, 2,000 with GitHub | Free tier available (see their pricing) |
| Pricing model | Public per-request tiers | Tiered plans incl. an all-access option (~$299.99/mo); check their pricing |
| Adoption | Self-serve key in 30 seconds | Self-serve signup |
| What you pay for | Every sport, odds, and the intelligence layer, on one schema | Multi-sport data; compare the specific endpoints you need |
Burst limits, on every plan
Per-minute burst is what decides whether a page that fans out into several calls renders or throttles. Here is the whole ladder, daily cap included, so you can compare it against what BallDontLie publishes — we state ours and leave theirs to their own page, which is the only copy either of us can keep current.
| Plan | Per minute | Per day |
|---|---|---|
| Free | 100 | 1,000 |
| Solo | 300 | 10,000 |
| Trio | 500 | 25,000 |
| Edge | 1,500 | 100,000 |
| Pro | 3,000 | 200,000 |
Requests are counted one for one — no credit weighting, no markets-times-regions arithmetic — so the number in this table is the number of calls you can make. How rate limiting works →
Start on the free tier
100 requests per minute and 1,000 per day, free — the highest per-minute burst of any free sports API we checked. Burst is what matters when something asks several questions in a row and waits on each answer.
- Every sport and league we cover — the paid tiers add history depth and premium fields, not more leagues.
- Calls are counted one for one — no credit weighting, no markets-times-regions arithmetic.
- Link GitHub and the daily cap goes to 2,000.
- No credit card.
Or ask your AI tool directly
Connect your account to Claude, ChatGPT, Cursor, Perplexity or any other MCP-compatible tool and ask for the whole API in conversation — scores, standings, player stats and Elo ratings, with no API key to paste and no code to write. Your plan and limits carry over exactly as they do here.
Connect your AI tool →Big Balls Sports Data is best for
- ●Apps that want every sport on one unified response schema
- ●Teams that want matchups pre-assembled server-side instead of client-side joins
- ●Products that want a built-in intelligence layer — Elo predictions, ATS splits, prop value/edge with hit rates
- ●Developers who want a self-serve key and public per-request pricing
BallDontLie is best for
- ●Teams already integrated with BallDontLie and happy with its schema
- ●Projects that prefer BallDontLie’s specific endpoint design or pricing
- ●Use cases centred on the sports and markets BallDontLie already covers well
- ●Anyone who wants to evaluate both — both are capable, modern sports APIs
Frequently asked
- Is BallDontLie NBA-only?
- No — not anymore. BallDontLie started as an NBA API but its current docs cover many leagues and additional data types. If you saw an older "NBA-only" comparison from us, it was out of date; we corrected this page on 2026-07-24. Compare on schema shape and the specific endpoints you need.
- What actually differs between the two?
- The clearest differences are structural: Big Balls returns every sport on one unified schema, pre-assembles matchups in a single call, and ships an intelligence layer (Elo predictions, ATS splits, and a prop value finder with modelled edge and hit rates). BallDontLie offers its own multi-sport coverage and endpoint design. Both carry odds; the edge/hit-rate modelling on top is where we differ.
- Can I use Big Balls Sports Data for an NBA-only app?
- Yes — many customers are NBA-first. The free tier covers full development plus a small prototype. If you later add other sports, they are already on the same schema.
Pull these sports from Big Balls Sports Data
One canonical schema, one key. Explore the API for each:
Or go straight to a league:
Compare Big Balls Sports Data vs other providers
Evaluating more than one? Here is how we stack up against the rest, plus a calculator to price any of them at your scale.
Try it yourself
API key in 30 seconds. 1,000 req/day free (2,000 with GitHub), no credit card. Compare the actual experience, not just the spec sheet.