Fundamentals
Asian handicap odds data, explained
Asian handicap gives one side a goal head-start, which lets a bet half-win or half-lose. For your data that makes the line a field, not an afterthought. Here is how to model it.
· 6 min read
Blog · tag
bookmaker-data
Every OddsRelay post tagged bookmaker-data.
Fundamentals
Bet builder and same-game multi data, for builders
A bet builder combines several selections from one event into one priced bet. The price isn't the product of the legs, because the outcomes are correlated. Here's what that means for the data.
· 6 min read
Fundamentals
Decimal and fractional odds in data: what to standardise on
Decimal, fractional and American are three ways to write the same price. For anything you compute with, standardise on decimal, store decimal, and convert only at the point of display.
· 4 min read
Fundamentals
Football odds data, explained
Football is where odds data does most of its volume. This explains the main markets, how they're structured as event, market and selections, and how matched back/lay pairs work for football.
· 5 min read
Fundamentals
How bookmaker odds data is structured
Odds data is a four-level hierarchy: event to market to selection to price, plus bookmaker, region and freshness metadata. Once the shape clicks, integrating a feed is straightforward.
· 5 min read
Fundamentals
How odds feeds handle suspended and void markets
Markets get suspended or voided constantly, and a feed that hides those states will hand your users a wrong price. Here is how a good feed represents them, and what your product should do with each.
· 6 min read
Fundamentals
How to display odds data in your app
You have the odds data; now you need to render it. A practical guide to mapping the response to rows, formatting decimal prices, showing the matched pair, and keeping it fresh.
· 6 min read
Buying vs building
How to evaluate odds-data coverage honestly
A big book-count number is easy to print and easy to fake. Here's how to test a feed's coverage on depth, freshness and completeness, and verify it on a live dashboard before you commit.
· 6 min read
Fundamentals
How to get bookmaker odds data into your app
There are two ways to get bookmaker odds into your app: collect it yourself, or license a feed. Here's how each works, what to decide first, and the integration sketch for the faster path.
· 4 min read
Fundamentals
How to normalise odds across bookmakers
Different books name the same event and selection differently, so their prices don't line up on their own. This is how you normalise odds across bookmakers, and where it goes wrong.
· 6 min read
Fundamentals
How to store and version odds data
A feed gives you current prices; the history is what you persist from them. Here's a simple, durable model: timestamped snapshots keyed by event, market and selection, plus the retention trade-offs to decide up front.
· 6 min read
Fundamentals
Multi-sport odds data: football, racing, tennis and beyond
A full odds-data layer runs well past football and racing into tennis, cricket, rugby and basketball. Here is what multi-sport coverage really means, and why depth per sport beats a long list that thins out.
· 6 min read
Fundamentals
Over/under and totals odds data, explained
Over/under markets price whether goals, points or corners finish above or below a line. For data, the line is part of the selection: here is why that changes how you compare, match and arb totals across books.
· 5 min read
Emerging markets
South African bookmaker odds: what coverage looks like
Good South African odds coverage is not the global books alone. It is the domestic books bettors actually use, across PSL soccer, rugby and cricket. Here is what that looks like as a data problem.
· 6 min read
Fundamentals
The anatomy of an odds API response
What every field in a good odds API response is for, walked one at a time: the event/market/selection keys, the back and lay blocks, rating and qualifying_loss, and the envelope around them.
· 6 min read
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