Sports Betting — Cloudflare Report
Decision point — what we need from Client
We have court “truth” (schedule/box/PBP). To compute betting edges, we must choose a stable odds + player-props market provider and lock the canonical schema for market snapshots.
What we need to decide
- Budget tier: proof-of-concept vs production-grade.
- Markets: moneyline/spread/total + which player props (points/assists/rebounds/threes/PRA/etc.).
- Books & regions: prioritize FanDuel (and which others?), US only vs broader.
- Historical depth: how many seasons for backtests and line-movement analysis.
- Cadence: pre-game only vs closing-line + live snapshots.
Provider options (organized by “complexity / cost”)
| Tier | Option | What you get | Tradeoffs |
|---|---|---|---|
| 0 | Keep truth-layer only No odds integration yet |
Continue building projections + outcome models; validates pipeline and modeling approach. | No real “edge” measurement without market lines and prices. |
| 1 | The Odds API Quick odds + some props, historical on paid plans |
Game odds + additional markets including player props; easier integration; free plan for current odds, paid for historical snapshots. | Coverage/market depth varies by book; historical depth depends on plan; still need careful snapshot cadence for CLV. |
| 2 | SportsDataIO (NBA Odds solution) Odds + props + line movement + archive endpoints |
Team/game/player props; line movement guidance; historical archive for older props/futures. | Paid subscription; integration surface is broader (more endpoints, keys, and schema mapping). |
| 3 | Sportradar Player Props API / enterprise feeds Aggregated markets, robust IDs, enterprise support |
Aggregated odds and extensive player prop markets from top US books; strong identifier systems. | Enterprise pricing + contracting; heavier onboarding. |
We can start at Tier 1 for speed, then upgrade later if we need deeper historical props, more books, or richer market catalogs.
Our recommendation (prudent default)
Start with a Tier 1 trial (fast integration, proves the market schema + snapshot cadence), then evaluate whether we need a Tier 2/3 upgrade for historical depth and broader prop coverage.
Once chosen, we will: (1) implement a market snapshot table, (2) schedule regular pulls around open/close, (3) join outcomes to lines, (4) compute EV/CLV, and (5) iterate based on results.