Sportsbook Pricing Feed

The most accurate
player-props
pricing in
North America.

One consensus price, built from 200+ sportsbooks and tuned to yours — delivered at a 400ms median refresh, timestamped so you can verify it.

200+
Books & Operators
2,500+
Markets
400ms
Median Refresh
99.99%
Uptime SLA
5+
Seasons Backtested
Clean ID mapping stable IDs live & historical, mapped to your systems
Why Betstamp

Specialized in North American
player prop pricing.

North American player props — NFL, NBA, MLB, NCAAF, NCAAB, NHL, and UFC — plus tennis — carry the highest handle and the tightest margins, so pricing accuracy matters most here. It's also where traditional data providers are weakest: their models are built for main markets, and player props end up under-modeled. That's the gap we're built to close.

The specialty

North American props

NFL · NBA · MLB · NCAAF · NCAAB · NHL · UFC · Tennis

The major North American player prop markets are what we price best — modeled sport by sport and market by market, not a generic model stretched across every league in the world.

  • NFL, NBA, MLB, NCAAF, NCAAB, NHL, UFC & Tennis props
  • Modeled market by market
  • Depth, not breadth for its own sake
Depth

Past the headline numbers

Props · alts · milestones

Player props, alt lines, ladders, and milestones across the major North American sports — the depth a generalized feed under-models or skips.

  • Props, alts & milestones
  • Full alt ladders, priced
  • Every market live and reacting — none of them stale
Performance

Measured against the closing line.
Not projected.

+8.56% realized Kelly ROI across our core North American player-prop markets

6.9M+ graded prop observations · Jan 2025–Jul 2026 · vs. market closing price

NBA
NFL
NCAAB
NCAAF
0% = market close

Sharper closing prices mean stronger hold — and the confidence to take more volume on the bets you win.

Realized performance on every core-market player prop where our line flagged 3–20% edge, graded against the market's closing price. All books, all pre-game snapshots, Jan 2025–Jul 2026. Kelly-staked at 0.25×. Figures are realized, not projected.

Market Aggregate Pricing

The most accurate
player-props reference
in the industry.

A market-weighted consensus priced across 200+ books and backtested on 5+ seasons of closing lines — our own model, not a single-book average.

That confidence is the difference between defending your lines and competing on them — prices you can stand behind, and more volume taken on the bets you win.

Sample: NFL — Anytime TD Scorer

Our fair value
FanDuel
DraftKings
Saquon BarkleyAnytime TD
−147
−155
−158
Travis EtienneAnytime TD
+152
+140
+138
Brock BowersAnytime TD
+196
+185
+178
Zay FlowersAnytime TD
+236
+220
+225

See it priced on your markets.

Request a Demo →
The Methodology

How the market aggregate works.

Our market aggregate is built on four interlocking principles — the same principles that power the PRO Odds Screen trusted by professional trading syndicates. Each one addresses a specific weakness in conventional prop pricing.

01 · Historical book-efficiency weighting

Trust the right book on every market

Not every book is worth listening to on every market. We grade each one's historical accuracy — sport by sport, market by market — and let the most reliable signal carry the most weight. Pinnacle's NBA spread earns trust; their NFL alts have to prove it.

02 · Bias correction by prop type

Every prop priced on its own terms

An anytime TD doesn't behave like a passing-yards ladder, and neither behaves like a first TD. Every prop type gets its own distribution and its own bias correction — instead of one football-wide model stretched across all of them.

03 · Statistical outlier exclusion

Don't get pulled off market by someone else's mistake

Before a price is set, book quotes that fall outside the expected distribution are down-weighted or excluded under a published, auditable rule. A single mispriced or lagging book can't drag the aggregate — the consensus stays anchored to the books you trust.

04 · Backtesting against closing prices

Proven against the market, continuously

Every price is graded against the closing line on the same market across 5+ seasons of history. Book weights and bias corrections are recalibrated continuously against those closing-price outcomes, so the model is measured on realized accuracy rather than opinion.

Who it's for

Built for trading desks that
price for performance.

Your desk is sharp. But props move at a speed no human team can watch — every limit change, every line move, on every market at once. Our Pricing Feed pairs your models and your methods with pricing that reacts the moment it happens, so you're never caught off guard on the markets that drive prop P&L.

Use Case 01

Bring your trading
in-house

Regress your models to a market you can trust. Pair our market aggregate with your official-data primary and your own pricing, and own your enterprise end to end — with an accurate reference to benchmark against on every prop type.

Use Case 02

Expand your
prop catalogue

Extend your own catalogue with a market aggregate underneath every new market. Launch alt ladders and milestones with an accurate reference from day one, instead of months of manual modeling before you can price them.

Use Case 03

Scale your live
prop coverage

Play defense with outlier alerts instead of screen-watching. Price live props with the same model that powers them pre-game, and let the feed flag mispriced markets as game state, possession, and player news shift — sub-second.

Use Case 04

Get tier-1
pricing power

Put your trading team on overdrive by combining your edge with our aggregate. Keep your trading judgment, add an accurate market reference on every prop, and slot us in alongside whichever official-data provider your in-play stack already uses.

Integration & Ops

Built to drop into your pipeline.

It drops into your existing stack — and gives your trading and product teams everything they need to run it in production: tune it, audit it, and see exactly what it's doing.

Format
REST + WebSocketPolling fallback · JSON payloads
Latency
400ms median refreshTimestamped on every message so you can audit it
Output
Market aggregate + consensusFair value with confidence intervals, settlement-ready
01 Configurable weightings

Price it your way

Adjust how much each book and market counts, across your whole catalogue at once.

02 Outlier definition & alerts

Don't get dragged by a bad line

A published rule catches outliers before they hit your price, and alerts your team in real time.

03 Update thresholds

Only the updates that matter

Tight on your high-handle markets, quiet on the long tail — your pipeline never drowns in noise.

04 Market states

Never guess why a market went quiet

Suspended, off-board, and removed are told to you explicitly — anchored to the books you trust.

05 Outage recovery

Never miss a move — even after a drop

Reconnect and replay everything you missed, automatically. No gaps, no manual reconciliation.

06 Environments

Test it before your book feels it

Fully separated test and production access, so nothing experimental touches your live prices.

07 Audit & access control

Every change on the record

Role-based access and a full log of who changed what, and when.

08 Support

A team on call, not a ticket queue

A named integration engineer and a shared channel, through launch and beyond.

09 Identifiers

No mapping headaches

Industry-standard IDs, identical across live and historical — everything matches one-to-one, forever.

Historical Data

Every price, kept.

Historical odds are a first-class capability here, not a footnote — every tick, every book, live markets included, on the same IDs as the live API. The full price path through every event, ready to query.

Depth

Every tick,
every book

Full historical odds — every price change from every book we ingest, not just periodic snapshots. The complete movement on each market, preserved.

Coverage

Live markets
included

In-play history is captured alongside pre-game — the entire price path from open through settlement, not just where a market started.

Identifiers

Same IDs as
the live API

Consistent IDs across live and historical, so a market maps one-to-one between the two — clean custom mapping into your systems, with no fuzzy matching or reconciliation work.

Risk & Compliance

Retrospective
account review

Reconstruct the closing price on any market for account review and dispute resolution — the full price history behind every graded bet, on demand.

Request a Demo

Build a more accurate prop book.

Talk to a sports data expert about how Betstamp can make your props pricing more accurate — and faster than any human desk. Run it alongside your current feed and never get caught off guard.

FAQ

Built for the questions
trading desks actually ask.

What is the Sportsbook Pricing Feed?
A market-weighted consensus price for North American player props — a single, most-accurate reference blended from the wider market and delivered as an API built to run inside your own trading stack. (See coverage below for the full sport and market list.)
What sports, markets, and books do you cover?
NFL, NBA, MLB, NCAAF, NCAAB, NHL, UFC, and Tennis — player props, alternate lines, ladders, and milestones, priced across 200+ books. Each market is modeled on its own rather than stretched from a single general model. More leagues and markets are available beyond this list — if you need something specific, ask us. Coverage is scoped to your book.
Can I configure the pricing to my book?
Yes. Weightings are configurable by book, market, and prop type, with bulk changes across many props at once, and you set your own margins. Use our aggregate as the reference where you want it and your own model where you don't — you keep full control of the price you publish.
How do you keep pricing accurate and protect against bad data?
Every price is graded against the closing line on the same market across 5+ seasons and recalibrated continuously. Book quotes that fall outside the expected distribution are down-weighted or excluded under a published, auditable rule, so a single lagging or mispriced book can't drag the aggregate — and flagged markets surface on an outlier alert feed.
How fast can we integrate, and can we run it alongside our current feed?
The feed delivers as REST or WebSocket in JSON, with a polling fallback, and is built to drop into your existing infrastructure. Most teams run us alongside their current provider first as a fallback reference, compare over a season, and promote us to primary once we win the trade study. A dedicated integration engineer and a shared Slack channel support you through launch and beyond.
Do you provide historical odds, and how do markets map to our system?
Yes — full tick history, every book, live markets included, on the same consistent IDs as the live API, so markets map one-to-one with no fuzzy matching. You can reconstruct the full price path on any market for backtesting or retrospective account review. Want to try it? We'll set you up with a trial key alongside your current feed.